Browse the section’s publications. Newest first, one year at a time. Use the search box to filter by title, author, or venue.

2026

For Those Who Believe in Faithfulness: Optimizing the Area Under Insertion and Deletion Curves for Ranking Relative Feature Importance

BL Møller, B Ibragimov, C Igel

arXiv preprint arXiv:2610.09844

Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation

L Khaertdinova, A Anikina, C Mello-Thoms, B Ibragimov

International Conference on Medical Image Computing and Computer-Assisted …

MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models

S Liu, Z Ye, Y Lin, C Hu, W Geng, X Han, B Ibragimov, Y Zheng, Y Yuan

International Conference on Medical Image Computing and Computer-Assisted …

Deep Learning‐Based Automated Bowel Wall Thickness Measurement in Intestinal Ultrasound for Inflammatory Bowel Disease

JH Karrer, J Ruiz‐Molsgaard, BL Møller, J Burisch, GR Madsen, K Theede, ...

JCC Plus

Clinical Outcome of Non‐Surgical Endodontic Treatment Performed by Undergraduate Dental Students: A Retrospective Observational Cohort Study

S Ramezanzade, A Bakhshandeh, B Ibragimov, H Fransson, T Dascalu, ...

International Endodontic Journal

Political Bias in Decentralized Prediction Markets: Evidence from Trump-Related Contracts on Polymarket

SS Skovgaard, NW Junge, B Ibragimov

Available at SSRN

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer

R Karimzadeh, S Kollbeck, EGS Brandt, MB Andersen, CF Müller, ...

IEEE Journal of Biomedical and Health Informatics

Revisiting multi-nodal radiomics with advanced feature learning for lymphoma classification: a multi-center study

R Karimzadeh, S Hasanabadi, M Cheraghi, M Bakhshayesh Karam, ...

Physics in Medicine & Biology

Improved pancreatic imaging with photon-counting CT: a retrospective comparison with conventional CT

EGS Brandt, F Christoph Müller, YJW Nielsen, AM Ewald, B Ibragimov, ...

Acta Radiologica

Phase segmentation of a percutaneous medical procedure

E Ayvali, B IBRAGIMOV

US Patent

Reduced beam hardening in urogenital imaging with photon-counting CT: a retrospective direct comparison with conventional CT

EGS Brandt, FC Müller, YJW Nielsen, AM Ewald, B Ibragimov, H Thomsen, ...

Acta Radiologica

The Impact of Training Dental Students to Use an Artificial Intelligence–Based Platform for Pulp Exposure Prediction Prior to Deep Caries Excavation: A Proof‐of‐Concept …

S Ramezanzade, TL Dascalu, A Bakhshandeh, SE Uribe, B Ibragimov, ...

International Endodontic Journal

GPU Memory and Utilization Estimation for Training-Aware Resource Management: Opportunities and Limitations

E Yousefzadeh-Asl-Miandoab, R Karimzadeh, D Yorulmaz, B Ibragimov, ...

Proceedings of the Sixth European Workshop on Machine Learning and Systems …

Visual search patterns in 3D pancreatic imaging: an eye tracking study

A Anikina, L Khaertdinova, T Balschmidt, MB Andersen, CF Müller, ...

Medical Imaging 2026: Image Perception, Observer Performance, and Technology …

Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge

G Podobnik, B Ibragimov, P Peterlin, P Strojan, T Vrtovec

Radiotherapy and Oncology

Prediction of pulpal sequelae in cracked teeth with reversible pulpitis using machine learning models

S Wu, T Dascalu, RF Seet, PY Chan, N Yu, J Hartanto, B Ibragimov

Journal of Endodontics

ARCGym: Benchmarking Deep Reinforcement Learning in Autonomous Robotic Colonoscopy

G Ji, M Finocchiaro, K Erleben, H Yin

IEEE Robotics and Automation Letters

Alternating Spatial‐Temporal Optimization for Continuous Collision Detection of Signed Distance Fields

RG Nielsen, K Erleben

Computer Graphics Forum

MERA: Multimodal and Multiscale self-Explanatory model with considerably reduced annotation for lung nodule diagnosis

J Lu, C Yin, S Ingala, K Erleben, MB Nielsen, S Darkner

Biomedical Signal Processing and Control

Clinically validated dataset of 435 human colons segmented from CT colonography

M Finocchiaro, R Stern, R Vilhelmsborg, AG Smith, J Petersen, K Cold, ...

Scientific Data

Nationwide AI Models for Depression Prediction: Regional Generalizability and Culturally Sensitive Variable Selection

A Valentine, H Coupland, E Petersen, E Beaman, M Osler, A Feragen, ...

Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 9 (4 …

Is invariance all you need for algorithmic fairness? Removing demographic information can create new bias

A Parikh, E Petersen, S Frank, E Ferrante, M Ganz, A Feragen

arXiv preprint arXiv:2609.32004

A clinical brain MRI dataset of polymicrogyria in patients suspected of epilepsy

L Coll, A Shafique, H Kaas, M Prener, LH Pinborg, GM Knudsen, M Ganz

Machine Learning for Biomedical Imaging 2026 (Special Issue on MICCAI Open …

Building an open infrastructure for molecular neuroimaging: Standards and tools from the OpenNeuroPET initiative

M Ganz, M Norgaard, C Pernet, GJ Matheson, A Galassi, E Ceballos, ...

Journal of Cerebral Blood Flow & Metabolism, 0271678X261490245

Prevalence of malformations of cortical development in patients with suspected epilepsy based on a clinical MRI dataset

L Coll, J Díaz-i-Calvete, A Schiavone, H Kaas, M Prener, V Beliveau, ...

medRxiv, 2026.08. 19.26360591

Preoperative limbic cortical thinning in mesial temporal lobe epilepsy surgical candidates is associated with pre‐existing and de novo postoperative depression

P Fink‐Jensen, B Ozenne, A Kloster, B Jespersen, K Vinter, G Rubboli, ...

Epileptic Disorders

Neuroanatomical dimensions in recent-onset depression: clinical profiles, inflammatory markers, and proteomic ageing

PA Lalousis, L Moles, M Antoniades, W Xiao, ACM Couch, G Erus, ...

medRxiv, 2026.06. 01.26354320

MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification in Low-Resource Settings

A Schiavone, M Fraccaro, LM Pehrson, S Ingala, R Bonnevie, MB Nielsen, ...

Proceedings of the 8th Workshop on Clinical Natural Language Processing …

A dataset of clinical pediatric brain MRI with and without motion correction

L Coll, T Waagstein Madsen, K Skak Madsen, M Ganz

Scientific Data

Neurophysiological correlates of neuroanatomical dimensions in major depressive disorder: EEG markers of brain function and treatment outcome

W Xiao, RD Woodham, M Antoniades, D Srinivasan, Y Fan, G Erus, ...

Biological Psychiatry Global Open Science

Regional Inequities and Cultural Sensitivity in AI Models for Psychiatric Care

A Valentine, H Coupland, E Petersen, E Beaman, M Osler, A Feragen, ...

OSF

Brain MRI Dataset Featuring a Full Clinical Protocol With and Without Intentional Motion

K Skak Madsen, T Ruschke, H Eichhorn, P Rising, M Ganz

Scientific Data

Psilocybin acutely reduces low-frequency BOLD power and frequency-specific connectivity

AS Olsen, K Larsen, DEW McCulloch, M Ganz, MK Madsen, B Ozenne, ...

bioRxiv, 2026.04. 09.717379

Age-dependent acceleration of structural brain aging in medication-free major depressive disorder linked to neuroanatomical phenotype findings from COORDINATE-MDD consortium

B Sharma, PL Ballester, L Minuzzi, W Xiao, M Antoniades, D Srinivasan, ...

MedRxiv

Independent evaluation of deep learning models for detecting focal cortical dysplasia

H Kaas, M Prener, M Ganz, GM Knudsen, LH Pinborg, V Beliveau

Epilepsy Research

Inter-individual variability of neurotransmitter receptor and transporter density in the human brain

JY Hansen, J Tuisku, J Johansson, Z Chang, CJ McGinnity, V Beliveau, ...

Brain Structure and Function

Associations of serotonin-related brain morphology in early adolescence with behavioral and emotional problems: a population-based neuroimaging study

D Koc, M Nørgaard, M Ganz, R Muetzel, H El Marroun, H Tiemeier, ...

Neuroscience Applied

Prediction of brain age using structural magnetic resonance imaging: a comparison of clinical utility of publicly available software packages

RP Dorfel, B Ozenne, M Ganz, JE Svensson, P Plaven-Sigray

EBIOMEDICINE

Direction-Scale Decomposition in Action Representation: Rethinking What to Tokenize for Vision-Language-Action Models

Y Duan, H Yin, A Longhini, C Tang, D Kragic

arXiv preprint arXiv:2609.28865

CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection

Z Cheng, H Wei, H Yin, X Xu, B Yu, J Zhou, J Lu

arXiv preprint arXiv:2604.07457

Learning Multi-Robot Coordination with Invariant Consensus Stabilization

H Yin, CK Verginis, D Kragic

Proceedings of Machine Learning Research vol

Discrete Inverse Rendering: Biological Image Analysis with Integer Programming

F Zdyb, JB Kirkegaard

Discrete Inverse Rendering: Biological Data Analysis with Integer Programming

F Zdyb, JB Kirkegaard

bioRxiv, 2026.07. 23.740284

A modular framework for automated segmentation and analysis of AFM imaging of chromatin organization

EW Sørensen, S Pangeni, R Merino Urteaga, PJ Murray, S Rudnizky, ...

Nucleic Acids Research 54 (12), gkag632

Differentiable Vertex Model: Exploring Gradient-Based Optimization for Tissue Morphogenesis

LEJ Skjegstad, S Oud, RMA Vroomans, JB Kirkegaard

bioRxiv, 2026.05. 07.723189

Radiation-induced peroxide rupture and its temperature-dependent repair probed by homogeneous X-ray irradiation

S Koulas, S Bui, JB Kirkegaard, G Bourenkov, RA Steiner

Biological Crystallography

Reply to van Haastert: Local competition between Ras/actin-driven protrusions

A Alonso, JB Kirkegaard, RG Endres

Proceedings of the National Academy of Sciences

189. Precision Functional Mapping in Obsessive-Compulsive Disorder

M Vaghi, M Norgaard, S Shim, JAH Rios, P Bissett, C Rodriguez, ...

Biological Psychiatry 99 (10), S179-S180

Quality assessment and control of unprocessed anatomical, functional and diffusion MRI of the human brain using MRIQC

MKP Hagen, C Provins, E MacNicol, JK Li, T Gomez, M Garcia, SH Seeley, ...

Nature Protocols

[11C]PS13 PET shows that age is positively correlated with constitutively expressed cyclooxygenase-1 in the brain

P Parcon, M Scrabis, M Nørgaard, A Galassi, P Zanotti-Fregonara, ...

Journal of Cerebral Blood Flow & Metabolism, 0271678X261444895

NiQuery: Stop searching your neuroimaging datasets. Start testing your hypotheses

JH Legarreta, R Blair, C Markiewicz, A Rokem, M Norgaard, O Esteban

OSF

Molecular connectivity studies of cerebral glucose metabolism and blood flow: a scoping review

C Cavaliere, A Galli, C Meneghini, M Severino, DE Peretti, M Nørgaard, ...

Neuroscience & Biobehavioral Reviews

nipy/nipype: 1.11. 0 (Version 1.11. 0)[Computer software]

O Esteban, CJ Markiewicz, C Burns, M Goncalves, D Jarecka, E Ziegler, ...

Zenodo

EXPRESS: Building an open infrastructure for molecular neuroimaging: standards and tools from the OpenNeuroPET initiative

M Ganz, M Norgaard, C Pernet, GJ Matheson, A Galassi, EG Ceballos, ...

Journal of Cerebral Blood Flow & Metabolism, 0271678X261490245

2025

rNCA: Self-Repairing Segmentation Masks

M Silbernagel, A Alonso, J Petersen, B Ibragimov, M de Bruijne, ...

arXiv preprint arXiv:2512.13397

Endoscopic anatomical feature tracking

E Ayvali, YE Menglong, B IBRAGIMOV, DB Berman

US Patent App. 19/304

Alignment techniques for percutaneous access

E Ayvali, B IBRAGIMOV, S Plewe, JZ BONE, M Drahos, Y Malinin

US Patent

Extremal Contours: Gradient-driven contours for compact visual attribution

R Karimzadeh, A Alonso, F Zdyb, JB Kirkegaard, B Ibragimov

arXiv preprint arXiv:2511.01411

PiMPiC: An Overlap-Aware Contrastive Learning Framework for 3D Patch-Based Medical Image Segmentation

R Karimzadeh, E Yousefzadeh-Asl-Miandoab, H Arabi, P Tözün, ...

MICCAI Workshop on Data Engineering in Medical Imaging

Longitudinal Anatomical Attention Maps for Recognizing Diagnostic Errors from Radiologists’ Eye Movements

A Anikina, D Ibragimova, T Mustafaev, C Mello-Thoms, B Ibragimov

International Conference on Medical Image Computing and Computer-Assisted …

CARMA: Collocation-Aware Resource Manager

E Yousefzadeh-Asl-Miandoab, FM Ciorba, P Tözün

arXiv preprint arXiv:2508.19073

CARMA: Collocation-Aware Resource Manager with GPU Memory Estimator

E Yousefzadeh-Asl-Miandoab, R Karimzadeh, B Ibragimov, FM Ciorba, ...

arXiv e-prints, arXiv: 2508.19073

The value of artificial intelligence in PSMA PET: a pathway to improved efficiency and results.

H Dadgar, X Hong, R Karimzadeh, B Ibragimov, J Majidpour, H Arabi, ...

The Quarterly Journal of Nuclear Medicine and Molecular Imaging: Official …

Uncertainty Estimation in Cardio Landmark Detection and Heart Disease Diagnosis on Chest X-Ray Images

D Lvov, I Stebakov, A Kornaev, I Pershin, T Mustafaev, D Afonchikov, ...

IEEE Access

The relationship between eye tracking features and transfer learning in modeling decision prediction of radiologists reading mammograms

K Kelat, SE Gerard, B Ibragimov, C Mello-Thoms

Medical Imaging 2025: Image Perception, Observer Performance, and Technology …

Dentassignnet: Assignment network for dental cast labeling in the presence of dental abnormalities

T Dascalu, S Ramezanzade, A Bakhshandeh, L Bjørndal, R Iurcov, ...

IEEE journal of biomedical and health informatics

Prediction of Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and Gaze-Guided Transformers

T Mustafaev, C Mello-Thoms, B Ibragimov

Graphs in Biomedical Image Analysis: 6th International Workshop, GRAIL 2024 …

Improving the Real-time Classification of Disease Severity in Ulcerative Colitis: Artificial Intelligence as the Trigger for a Second Opinion

B Lo, B Møller, C Igel, S Wildt, I Vind, F Bendtsen, J Burisch, B Ibragimov

Official journal of the American College of Gastroenterology| ACG, 10.14309

Prediction of radiological decision errors from longitudinal analysis of gaze and image features

A Anikina, D Ibragimova, T Mustafaev, C Mello-Thoms, B Ibragimov

Artificial intelligence in medicine

Gaze assistance for efficient segmentation correction of medical images

L Khaertdinova, T Shmykova, I Pershin, A Laryukov, A Khanov, ...

IEEE Access

NEMt: Fast targeted explanations for medical image models via neural explanation masks

BL Møller, S Amiri, C Igel, KK Wickstrøm, R Jenssen, M Keicher, ...

Northern Lights Deep Learning Conference

Short-term Outcome of Non-surgical Endodontic Treatments Performed by Pre-graduate Students Over 13 Years: a Retrospective Study at the University of Copenhagen

S Ramezanzade, T Dascalu, A Bakhshandeh, B Ibragimov, H Fransson, ...

22nd Biennial Congress of the European Society of Endodontology (ESE …

Neural Kinematic Bases for Fluids

Y Liu, Z Fang, S Darkner, N Aigerman, K Erleben, P Kry, T Schneider

Proceedings of the SIGGRAPH Asia 2025 Conference Papers

Policy-space interpolation for physics-based characters

M Rocca, S Andrews, K Erleben

Proceedings of the ACM on Computer Graphics and Interactive Techniques 8 (4 …

Collision constraints and diffeomorphisms: dealing with physics in deformable image registration

T Alscher, J Petersen, F Lauze, K Erleben, S Darkner

IEEE Access

Policy-space diffusion for physics-based character animation

M Rocca, S Darkner, K Erleben, S Andrews

ACM Transactions on Graphics

HQColon: A Hybrid Interactive Machine Learning Pipeline for High Quality Colon Labeling and Segmentation

M Finocchiaro, R Stern, AG Smith, J Petersen, K Erleben, M Ganz

arXiv preprint arXiv:2502.21183

SE(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentation

R Liu, F Lauze, EJ Bekkers, S Darkner, K Erleben

Frontiers in Artificial Intelligence

Machine Learning for Longitudinal Brain-Age Prediction

M Wegmann, M Ganz, JE Svensson, P Plavén-Sigray, RP Dörfel

medRxiv, 2025.12. 10.25341964

Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts

E Marchetto, H Eichhorn, D Gallichan, JA Schnabel, M Ganz

Magnetic Resonance Materials in Physics, Biology and Medicine

Neuroanatomical dimensions in major depression linked to cognition, adverse life events, self-harm, metabolomics and genetics

W Xiao, RD Woodham, Y Cui, J Wen, M Antoniades, D Srinivasan, Y Fan, ...

Communications medicine

Generating Realistic Synthetic Motion Curves for MRI Retrospective Motion Correction

H Georgiev, J Sheye, M Wyburd, J Petersen, V Beliveau, M Ganz

Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image …

In the picture: Medical imaging datasets, artifacts, and their living review

A Jiménez-Sánchez, NR Avlona, S De Boer, VM Campello, A Feragen, ...

Proceedings of the 2025 ACM conference on fairness, accountability, and …

Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment

HA Olson, MC Camacho, G Abdurokhmonova, S Ahmad, EM Chen, ...

Developmental Cognitive Neuroscience

128. Predicting Antidepressant Treatment Outcome in Major Depressive Disorder Using Multi-Domain Data: A Neuropharm Study

B Ozenne, V Dam, M Ganz, E Beaman, K Köhler-Forsberg, C Ip, ...

Biological Psychiatry 97 (9), S148

A sensitivity analysis of preprocessing pipelines: Toward a solution for multiverse analyses

B Ozenne, M Nørgaard, C Pernet, M Ganz

Imaging Neuroscience 3, imag_a_00523

Neuroanatomical dimensions in major depression: external validation and links with cognition, adverse life events, self-harm, metabolomics and genetics

W Xiao, RD Woodham, Y Cui, J Wen, M Antoniades, D Srinivasan, Y Fan, ...

Building multivariate molecular imaging brain atlases using the NeuroMark PET independent component analysis framework

C Eierud, M Norgaard, M Bilgel, H Petropoulos, Z Fu, A Iraji, GJ Matheson, ...

bioRxiv

Assessing the influence of preprocessing on the agreement of image quality metrics with radiological evaluation in the presence of motion

H Eichhorn, E Marchetto, D Gallichan, JA Schnabel, M Ganz

Proceedings of the Annual Meeting of ISMRM

Associations of serotonin-related brain morphology in early adolescence with behavioral and emotional problems

D Koc, M Nørgaard, M Ganz, RL Muetzel, H El Marroun, H Tiemeier, ...

NeuroImage: Clinical

An exploration of interpretable deep learning models for the assessment of mild cognitive impairment

ECL Leschly, O Roesler, M Neumann, J Liscombe, A Hosamath, L Arbatti, ...

Proc. Interspeech

Changes in hippocampal volume, 5-HT4 receptor binding, and verbal memory over the course of antidepressant treatment in major depressive disorder

KHR Jensen, VH Dam, K Köhler-Forsberg, B Ozenne, DS Stenbæk, ...

Journal of psychiatric research

Evaluation of a volume and intensity-based FLAIR algorithm developed to assist in DWI-FLAIR mismatch assessment in wake-up stroke

CJM Offersen, J Johansen, AH Brandt, TC Truelsen, S Darkner, A Pai, ...

European Journal of Radiology Artificial Intelligence

Toward a full-scale model of renal hemodynamics using a reconstructed vascular tree

P Xu, S Darkner, O Sosnovtseva, NH Holstein-Rathlou

American Journal of Physiology-Renal Physiology 328 (5), F702-F723

Clinicians’ agreement on extrapulmonary radiographic findings in chest X-rays using a diagnostic labelling scheme

LM Pehrson, D Li, A Mayar, M Fraccaro, R Bonnevie, PJ Sørensen, ...

Diagnostics

AI-guided delineation of gross tumor volume for body tumors: A systematic review

LM Pehrson, J Petersen, NS Panduro, CA Lauridsen, JF Carlsen, ...

Diagnostics

MIPLS2: Exploiting PLS2 to impute missing values in a two-block system with multiple response variables

A Tashk, KM Sørensen, SB Engelsen, KS Pedersen, CE Eskildsen

Analytica Chimica Acta

Transforming hyperspectral images into chemical maps: a novel End‐to‐End Deep Learning approach

OC Galbo Engstrøm, M Albano‐Gaglio, E Schou Dreier, Y Bouzembrak, ...

Journal of Chemometrics

Integrating deep learning derived morphological traits and molecular data for total-evidence phylogenetics: lessons from digitized collections

R Hunt, JL Reyes-Hernández, JJ Shaw, A Solodovnikov, KS Pedersen

Systematic Biology

A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process

OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen

arXiv preprint arXiv:2504.16658

Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach.

OCG Engstrøm, M Albano-Gaglio, ES Dreier, Y Bouzembrak, ...

CoRR

The Phantom of the Elytra--Phylogenetic Trait Extraction from Images of Rove Beetles Using Deep Learning--Is the Mask Enough?

R Hunt, KS Pedersen

arXiv preprint arXiv:2502.04541

Towards Safe Reinforcement Learning with Reduced Conservativeness: A Case Study on Drone Flight Control

L Hadjiloizou, MC Welle, H Yin, D Kragic

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems …

Real-time iteration scheme for diffusion policy

Y Duan, H Yin, D Kragic

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems …

GC-VLN: Instruction as graph constraints for training-free vision-and-language navigation

H Yin, H Wei, X Xu, W Guo, J Zhou, J Lu

arXiv preprint arXiv:2509.10454

Unfolding the literature: A review of robotic cloth manipulation

A Longhini, Y Wang, I Garcia-Camacho, D Blanco-Mulero, M Moletta, ...

Annual Review of Control, Robotics, and Autonomous Systems

The First WARA Robotics Mobile Manipulation Challenge-Lessons Learned

DC Domínguez, M Iannotta, A Kashyap, S Sun, Y Yang, C Cella, ...

2025 European Conference on Mobile Robots (ECMR)

Beyond predefined actions: Integrating behavior trees and dynamic movement primitives for robot learning from demonstration

DC Domínguez, E Schaffernicht, T Stoyanov

arXiv preprint arXiv:2505.08625

Learning Interpretable Robot Policies from Demonstration

DC Dominguez

Ph. D. dissertation, Örebro University

Spline refinement with differentiable rendering

F Zdyb, A Alonso, JB Kirkegaard

International Conference on Medical Image Computing and Computer-Assisted …

Adaptive node positioning in biological transport networks

A Alonso, LEJ Skjegstad, JB Kirkegaard

Physical Review Letters

Modeling full-scale leaf venation networks

LEJ Skjegstad, JB Kirkegaard

PLOS Computational Biology

Detection limitations of bacteria in tissue samples

TH Jakobsen, JB Kirkegaard, M Lichtenberg, LA Kvich, H Gottlieb, ...

Bone & joint research

Persistent pseudopod splitting is an effective chemotaxis strategy in shallow gradients

A Alonso, JB Kirkegaard, RG Endres

Proceedings of the National Academy of Sciences

Local clustering and global spreading of receptors for optimal spatial gradient sensing

A Alonso, RG Endres, JB Kirkegaard

Physical Review Letters

Positron Emission Tomography Quantification in Healthy Humans of Cyclooxygenase-2 (COX-2), a Potential Biomarker of Neuroinflammation

X Yan, M Norgaard, C Morse, J Liow, J Hong, S Telu, M Kim, A Galassi, ...

Journal of Nuclear Medicine 66 (supplement 1)

[11C] PS13 PET shows that age is positively correlated with constitutively expressed cyclooxygenase-1 in the brain

M Kim, P Parcon, M Scrabis, M Norgaard, A Galassi, D Taboada, ...

Journal of Nuclear Medicine 66 (supplement 1)

Frontostriatal salience network expands as executive networks contract in Obsessive-Compulsive Disorder

MM Vaghi, M Norgaard, S Shim, JAH Rios, PG Bissett, CI Rodriguez, ...

bioRxiv

355. PET2BIDS: the Key to PET Neuroimaging Data Standardization, Collaboration, and AI Integration

M Scrabis, A Galassi, R Innis, M Norgaard

Biological Psychiatry 97 (9), S242-S243

Molecular connectivity studies in neurotransmission: a scoping review

M Severino, DE Peretti, M Bardiau, C Cavaliere, M Doyen, ...

Imaging Neuroscience 3, imag_a_00530

Can I have your data? Recommendations and practical tips for sharing neuroimaging data upon a direct personal request

AS Jwa, M Norgaard, RA Poldrack

Imaging Neuroscience 3, imag_a_00508

PET quantification in healthy humans of cyclooxygenase-2, a potential biomarker of neuroinflammation

X Yan, M Noergaard, CL Morse, JS Liow, J Hong, D Greve, S Telu, ...

Journal of Nuclear Medicine

GHAZANFARI N. 1, LIOW JS 1, KIM MJ 1, 2, CURETON R. 1, LEE A. 1

C KNOER, M JENKINS, J HONG, JAM SANTAMARIA, HU SHETTY, ...

JOURNAL OF NUCLEAR MEDICINE

[11C]PS13 Demonstrates Pharmacologically Selective and Substantial Binding to Cyclooxygenase-1 in the Human Brain

N Ghazanfari, JS Liow, MJ Kim, R Cureton, A Lee, C Knoer, M Jenkins, ...

Journal of Nuclear Medicine

Transforming Hyperspectral Images Into Chemical Maps: A Novel End‐to‐End Deep Learning Approach.

OC Galbo Engstrøm, M Albano‐Gaglio, E Schou Dreier, Y Bouzembrak, ...

Journal of Chemometrics 39 (8), 1

Collision Constraints & Diffeomorphisms: Dealing with Physics in Deformable Image Registration

T Alscher, J Petersen, F Lauze, K Erleben, S Darkner

IEEE Access

In-depth 3D Exploration of Autosomal Dominant Polycystic Kidney Disease Through Light Sheet Fluorescence Microscopy

P Delgado-Rodriguez, I Vitoria, GR Ríos-Muñoz, L Bardia, ...

bioRxiv.03. 18.644002

The value of artificial intelligence in PSMA PET: a pathway to improved efficiency and results

H Dadgar, X Hong, R Karimzadeh, B Ibragimov, J Majidpour, H Arabi, ...

The quarterly journal of nuclear medicine and molecular imaging: official …

Prediction of brain age using structural magnetic resonance imaging: A comparison of clinical validity of publicly available software packages

RP Dörfel, B Ozenne, M Ganz, ...

medRxiv.03. 13.25323902

Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach

OCG Engstrøm, M Albano-Gaglio, ES Dreier, Y Bouzembrak, ...

arXiv preprint arXiv:2504.14131

2024

Automatic calculation of cardiometric coefficients on chest X-ray images

A Kornaev, D Lvov, I Pershin, S Kiselev, D Afonchikov, I Bariev, ...

IEEE Access

Imaging the pancreas with photon-counting CT–A review of normal pancreatic anatomy

EGS Brandt, CF Müller, H Thomsen, AB Rodell, B Ibragimov, ...

European Journal of Radiology

Artificial neural networks as a natural tool in solution of variational problems in hydrodynamics

I Stebakov, A Kornaev, E Kornaeva, N Litvinenko, Y Kazakov, O Ivanov, ...

IEEE Access

Centerline-guided reinforcement learning model for pancreatic duct identifications

S Amiri, R Karimzadeh, T Vrtovec, E Gudmann Steuble Brandt, ...

Journal of Medical Imaging

Building an AI support tool for real-time ulcerative colitis diagnosis

BL Møller, BZS Lo, J Burisch, F Bendtsen, I Vind, B Ibragimov, C Igel

KI-Künstliche Intelligenz

Gaze-assisted medical image segmentation

L Khaertdinova, I Pershin, T Shmykova, B Ibragimov

arXiv preprint arXiv:2410.17920

Approaching in vivo blood count tests with capillaroscopy and deep learning

A Kornaev, I Makovik, E Kornaeva, M Volkov, N Margaryants, E Potapova, ...

TechRxiv

Reinforcement learning‐based anatomical maps for pancreas subregion and duct segmentation

S Amiri, T Vrtovec, T Mustafaev, CL Deufel, HS Thomsen, MH Sillesen, ...

Medical physics

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

EMC Huijben, ML Terpstra, S Pai, A Thummerer, P Koopmans, M Afonso, ...

Medical image analysis

HaN-Seg: the head and neck organ-at-risk CT and MR segmentation challenge

G Podobnik, B Ibragimov, E Tappeiner, C Lee, JS Kim, Z Mesbah, ...

Radiotherapy and Oncology

Learn Together Stop Apart: An Inclusive Approach to Ensemble Pruning

B Ibragimov, G Gusev

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …

AI-initiated second opinions: a framework for advanced caries treatment planning

T Dascalu, S Ramezanzade, A Bakhshandeh, L Bjørndal, B Ibragimov

BMC Oral Health

Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks

BL Møller, C Igel, KK Wickstrøm, J Sporring, R Jenssen, B Ibragimov

Forty-first International Conference on Machine Learning

Deep implicit statistical shape models for 3D lumbar vertebrae image delineation

D Ocepek, G Podobnik, B Ibragimov, T Vrtovec

Medical Imaging 2024: Image Processing

Recognition of radiological decision errors from eye movement during chest X-ray readings

A Anikina, I Pershin, T Mustafaev, B Ibragimov

Medical Imaging 2024: Image Perception, Observer Performance, and Technology …

vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images

G Podobnik, B Ibragimov, P Peterlin, P Strojan, T Vrtovec

Medical physics

The use of machine learning in eye tracking studies in medical imaging: A review

B Ibragimov, C Mello-Thoms

IEEE journal of biomedical and health informatics

ADAPT: AI‐Driven Artefact Purging Technique for IMU Based Motion Capture

P Schreiner, R Netterstrøm, H Yin, S Darkner, K Erleben

Computer Graphics Forum

Differentiable Rendering as a Way to Program Cable-Driven Soft Robots

K Arnavaz, K Erleben

arXiv preprint arXiv:2404.07590

A systematic comparison between FEBio and PolyFEM for biomechanical systems

L Martin, P Jain, Z Ferguson, T Gholamalizadeh, F Moshfeghifar, ...

Computer methods and programs in biomedicine

Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features

RP Dörfel, JM Arenas-Gomez, C Svarer, M Ganz, GM Knudsen, ...

Geroscience

Classification of radiological text in small and imbalanced datasets in a non-english language

V Beliveau, H Kaas, M Prener, CN Ladefoged, D Elliott, GM Knudsen, ...

arXiv preprint arXiv:2409.20147

NeuroImaging of Babies during natural Sleep to assess typical development and Cerebral Palsy (NIBS-CP)

L Korsgaard, EKW Nielsen, H Lundell, K Kettless, CG Madsen, ...

Fetal, Infant, & Toddler Neuroimaging Group Annual Conference

Simulating Head Motion in MRI: A Silicone Phantom Approach with Machine Learning Integration

M Daugaard, E Riis-Jacobsen, H Yin, K Erleben, M Ganz

ISMRM Workshop on Motion Correction in MR

Head Movement in the Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) Data of the Adolescent Brain Cognitive Development (ABCD) Study

JF Sheye, HA Georgiev, M Ganz

ISMRM Workshop on Motion Correction in MR

Generative Models for Children’s Head Motion in Resting-State Functional Magnetic Resonance Imaging (rs-fMRI)

HA Georgiev, JF Sheye, V Beliveau, M Ganz

ISMRM Workshop on Motion Correction in MR

Publisher Correction: Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo

CHY Fu, M Antoniades, G Erus, JA Garcia, Y Fan, D Arnone, SR Arnott, ...

Nature Mental Health

PET2BIDS: a library for converting Positron Emission Tomography data to BIDS

A Galassi, M Norgaard, AG Thomas, G Gonzalez-Escamilla, C Svarer, ...

Journal of open source software

NeuroMark PET: Replicable positron emission tomography ICA templates for florbetapir and florbetaben radioligands

C Eierud, Z Fu, H Petropoulos, A Bohsali, A Iraji, M Ganz, C Pernet, ...

2024 46th Annual International Conference of the IEEE Engineering in …

Quantifying the impact of preprocessing strategies on statistical analyses

B Ozenne, M Nørgaard, C Pernet, M Ganz

OHBM Annual meeting

A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses

B Ozenne, M Norgaard, C Pernet, M Ganz

arXiv preprint arXiv:2404.14882

Assessing Image Quality Metric Alignment with Radiological Evaluation in Datasets with and without Motion Artifacts

E Marchetto, H Eichhorn, D Gallichan, ST Schwarz, N Shekhrajka, ...

2024 ISMRM & ISMRT Annual Meeting

The past, present, and future of the brain imaging data structure (BIDS)

RA Poldrack, CJ Markiewicz, S Appelhoff, YK Ashar, T Auer, S Baillet, ...

Imaging Neuroscience 2, imag-2-00103

Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo

CHY Fu, M Antoniades, G Erus, JA Garcia, Y Fan, D Arnone, SR Arnott, ...

Nature Mental Health

Classification of Medical Text in Small and Imbalanced Datasets in a Non-English Language

V Beliveau, H Kaas, M Prener, C Ladefoged, D Elliott, GM Knudsen, ...

Medical Imaging with Deep Learning

SmartField: A Danish Initiative for Advanced N2O Emission Accounting and Mitigation in Agriculture

AB Vaerge, K Butterbach-Bahl, J Olesen, D Abalos, C Dold, S Darkner, ...

AGU Fall Meeting Abstracts 2024 (1569), B33C-1569

In vivo deep learning estimation of diffusion coefficients of nanoparticles

JB Kirkegaard, NP Kutuzov, R Netterstrøm, S Darkner, M Lauritzen, ...

International Conference on Medical Image Computing and Computer-Assisted …

Cardiac dose-volume analysis of 9,411 patients with registry data for cardiovascular disease and overall survival

N Forbes, C Terrones-Campos, AG Smith, J Reekie, S Darkner, ...

medRxiv, 2024.08. 16.24312108

Locally orderless networks

J Sporring, P Xu, J Lu, F Lauze, S Darkner

arXiv preprint arXiv:2406.13514

Xfibrosis: Explicit vessel-fiber modeling for fibrosis staging from liver pathology images

C Yin, S Liu, F Lyu, J Lu, S Darkner, VWS Wong, PC Yuen

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …

Time trends in cardiac doses in 10,000 patients receiving curative thoracic radiation therapy between 2009 and 2020

N Forbes, C Terrones-Campos, A Smith, J Reekie, S Darkner, M Maraldo, ...

medRxiv, 2024.02. 18.24303007

Ikpls: Improved kernel partial least squares and fast cross-validation algorithms for python with cpu and gpu implementations using numpy and jax

OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen

Journal of Open Source Software

Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks

A Reichlin, G Tegnér, M Vasco, H Yin, M Björkman, D Kragic

arXiv preprint arXiv:2410.01476

Interactive perception for deformable object manipulation

Z Weng, P Zhou, H Yin, A Kravberg, A Varava, D Navarro-Alarcon, ...

IEEE Robotics and Automation Letters

Scalable motion style transfer with constrained diffusion generation

W Yin, Y Yu, H Yin, D Kragic, M Björkman

Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10234 …

Lm2d: Lyrics-and music-driven dance synthesis

W Yin, X Zhao, Y Yu, H Yin, D Kragic, M Björkman

arXiv preprint arXiv:2403.09407

Goal-Conditioned Reinforcement Learning from Sub-Optimal Data on Metric Spaces

A Reichlin, M Vasco, H Yin, D Kragic

arXiv preprint arXiv:2402.10820

Learning goal-conditioned policies from sub-optimal offline data via metric learning

A Reichlin, M Vasco, H Yin, D Kragic

arXiv preprint arXiv:2402.10820

Goal-conditioned offline reinforcement learning via metric learning

A Reichlin, M Vasco, H Yin, D Kragic

arXiv preprint arXiv

Evaluating behavior trees

S Gugliermo, D Cáceres Domínguez, M Iannotta, T Stoyanov, ...

Robotics and Autonomous Systems

Receptors cluster in high-curvature membrane regions for optimal spatial gradient sensing

A Alonso, RG Endres, JB Kirkegaard

arXiv e-prints, arXiv: 2410.03395

Roles of network topology in the relaxation dynamics of simple chemical reaction network models

Y Himeoka, JB Kirkegaard, N Mitarai, S Krishna

Scientific Reports

Learning optimal integration of spatial and temporal information in noisy chemotaxis

A Alonso, JB Kirkegaard

PNAS nexus 3 (7), pgae235

Spontaneous breaking of symmetry in overlapping cell instance segmentation using diffusion models

JB Kirkegaard

Biology Methods and Protocols 9 (1), bpae084

eddymotion: An open implementation of FSL's eddy with volume-to-volume artifact estimation for neuroimaging beyond diffusion MRI

JH Legarreta, E Savary, C Markiewicz, A Rokem, M Norgaard, O Esteban

OSF

Guided synthesis of labeled brain MRI data using latent diffusion models for segmentation of enlarged ventricles

T Ruschke, JF Carlsen, AE Hansen, U Lindberg, AM Hindsholm, ...

arXiv preprint arXiv:2411.01351

[11C] PS13 shows pharmacologically selective binding to cyclooxygenase-1 (COX-1) in the human brain

N Ghazanfari, M Norgaard, JS Liow, R Cureton, J Hong, JAM Santamaria, ...

Journal of Nuclear Medicine 65 (supplement 2)

Associations between behavioral and emotional problems and brain morphology in early adolescence: A neuroimaging study using the NRU Serotonin Atlas

D Koc, M Nørgaard, M Ganz, R Muetzel, H El Marroun, H Tiemeier, ...

OSF

Uplift modelling via gradient boosting

B Ibragimov, A Vakhrushev

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …

Attenuation-adjusted deep learning of pore defects in 2D radiographs of additive manufacturing powders

A Bjerregaard, D Schumacher, J Sporring

arXiv preprint arXiv:2408.02427

Investigating the Role of ADGRV1 in ALS Using a Novel Mouse Model

S Hasselholt, HJT Stephensen, D Janssen, AH Andersen, A Dubois, ...

Statistical investigations into the geometry and homology of random programs

J Sporring, KF Larsen

arXiv preprint arXiv:2407.04854

A semi-automatic method for extracting mitochondrial cristae characteristics from 3D focused ion beam scanning electron microscopy data

C Wang, L Østergaard, S Hasselholt, J Sporring

Communications Biology 7 (1), 377

Young glial progenitor cells competitively replace aged and diseased human glia in the adult chimeric mouse brain

R Vieira, JN Mariani, NPT Huynh, HJT Stephensen, R Solly, A Tate, ...

Nature biotechnology 42 (5), 719-730

Multiscale and multiresolution analysis

J Sporring

Medical Image Analysis, 177-197

Parametric volumetric registration

PA Yushkevich, M Zhang, J Sporring

Medical Image Analysis, 331-354

3D Shape Analysis and Bias Correction with Persistent Homology

C Wang, S Hasselholt, J Sporring

2023

Cross-modal conceptualization in bottleneck models

D Alukaev, S Kiselev, I Pershin, B Ibragimov, V Ivanov, A Kornaev, I Titov

Proceedings of the 2023 Conference on Empirical Methods in Natural Language …

Test-Time Augmentation Towards Improved Cross-Center PET/CT Segmentations by the Swin UNETR

F Yousefirizi, S Amiri, B Ibragimov, C Gowdy, C Uribe, A Rahmim

2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …

Prediction of pulp exposure before caries excavation using artificial intelligence: Deep learning-based image data versus standard dental radiographs

S Ramezanzade, TL Dascalu, B Ibragimov, A Bakhshandeh, L Bjørndal

Journal of Dentistry

Multimodal CT and MR segmentation of head and neck organs-at-risk

G Podobnik, P Strojan, P Peterlin, B Ibragimov, T Vrtovec

International Conference on Medical Image Computing and Computer-Assisted …

Assignment theory-augmented neural network for dental arch labeling

T Dascalu, B Ibragimov

International conference on medical image computing and computer-assisted …

A sequential framework for detection and classification of abnormal teeth in panoramic x-rays

T Dascalu, S Ramezanzade, A Bakhshandeh, L Bjorndal, B Ibragimov

arXiv preprint arXiv:2309.00027

Target anatomical feature localization

E Ayvali, YE Menglong, B IBRAGIMOV, DB Berman

US Patent

The efficiency of artificial intelligence methods for finding radiographic features in different endodontic treatments-a systematic review

S Ramezanzade, T Laurentiu, A Bakhshandah, B Ibragimov, T Kvist, ...

Acta Odontologica Scandinavica

Deep learning for detection of clinical operations in robot-assisted percutaneous renal access

B Ibragimov, J Zhen, E Ayvali

IEEE Access

Machine Learning for Image-Based Radiotherapy Outcome Prediction

B Ibragimov

Artificial Intelligence in Radiation Oncology and Biomedical Physics

Two-dimensional image registration

E Ayvali, B IBRAGIMOV

US Patent App. 18/067

Three-dimensional instrument pose estimation

E Ayvali, B IBRAGIMOV, J Li

US Patent App. 18/067

Three-dimensional model reconstruction

E Ayvali, B IBRAGIMOV

US Patent App. 18/067

Contrastive learning approach to predict radiologist's error based on gaze data

I Pershin, T Mustafaev, B Ibragimov

2023 IEEE Congress on Evolutionary Computation (CEC)

Changes in radiologists’ gaze patterns against lung x-rays with different abnormalities: a randomized experiment

I Pershin, T Mustafaev, D Ibragimova, B Ibragimov

Journal of Digital Imaging

3DTeethSeg'22: 3D teeth scan segmentation and labeling challenge

A Ben-Hamadou, O Smaoui, A Rekik, S Pujades, E Boyer, H Lim, M Kim, ...

arXiv preprint arXiv:2305.18277

HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset

G Podobnik, P Strojan, P Peterlin, B Ibragimov, T Vrtovec

Medical physics

A 178-clinical-center experiment of integrating AI solutions for lung pathology diagnosis

B Ibragimov, K Arzamasov, B Maksudov, S Kiselev, A Mongolin, ...

Scientific Reports

Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptation

P Xu, B Lee, O Sosnovtseva, CM Sørensen, K Erleben, S Darkner

Workshop on Medical Image Learning with Limited and Noisy Data

Deep-learning-based segmentation of individual tooth and bone with periodontal ligament interface details for simulation purposes

P Xu, T Gholamalizadeh, F Moshfeghifar, S Darkner, K Erleben

IEEE Access

Collision-constrained deformable image registration framework for discontinuity management

T Alscher, K Erleben, S Darkner

Plos one

A hybrid approach to full-scale reconstruction of renal arterial network

P Xu, NH Holstein-Rathlou, SB Søgaard, C Gundlach, CM Sørensen, ...

Scientific Reports

cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis

J Lu, C Yin, K Erleben, MB Nielsen, S Darkner

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images

R Netterstrøm, N Kutuzov, S Darkner, MJ Pallesen, MJ Lauritzen, ...

arXiv preprint arXiv:2303.16903

Method and system of global position prediction for imu motion capture

P Schreiner, K Erleben, S Darkner

US Patent App. 17/892

Differentiable depth for real2sim calibration of soft body simulations

K Arnavaz, MK Nielsen, PG Kry, M Macklin, K Erleben

Computer Graphics Forum

Data sharing in neuroimaging: experiences from the BIDS project

M Ganz, RA Poldrack

Nature Reviews Neuroscience

Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages

RP Dörfel, JM Arenas‐Gomez, PM Fisher, M Ganz, GM Knudsen, ...

Human Brain Mapping

Cerebral Palsy–Early Diagnosis and Intervention Trial: protocol for the prospective multicentre CP-EDIT study with focus on diagnosis, prognostic factors, and intervention

CE Hoei-Hansen, L Weber, M Johansen, R Fabricius, JK Hansen, ...

BMC pediatrics

The path toward equal performance in medical machine learning

E Petersen, S Holm, M Ganz, A Feragen

Patterns

On (assessing) the fairness of risk score models

E Petersen, M Ganz, S Holm, A Feragen

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …

Bias in context

S Holm, E Petersen, M Ganz, A Feragen

Proceedings of the National Academy of Sciences of the United States of …

Bias in context: What to do when complete bias removal is not an option

S Holm, E Petersen, M Ganz, A Feragen

Proceedings of the National Academy of Sciences

The art, science, and secrets of scanning young children

MN Spann, JL Wisnowski, B Ahtam, W Gao, H Huang, MB Nebel, ...

Biological Psychiatry

Are demographically invariant models and representations in medical imaging fair?

E Petersen, E Ferrante, M Ganz, A Feragen

arXiv preprint arXiv:2305.01397

Association between the loudness dependence of auditory evoked potential, serotonergic neurotransmission and treatment outcome in patients with depression

CT Ip, M Ganz, B Ozenne, S Olbrich, V Beliveau, VH Dam, ...

European Neuropsychopharmacology

10 years of reproducibility in biomedical research: how can we achieve generalizability and fairness?

AS Wagner, C Maumet, M Ganz, CG van Praag

ISBI 2023-20th IEEE International Symposium on Biomedical Imaging

Deep phenotyping towards precision psychiatry of first-episode depression—the Brain Drugs-Depression cohort

KHR Jensen, VH Dam, M Ganz, PMD Fisher, CT Ip, A Sankar, ...

BMC psychiatry

AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and …

CHY Fu, G Erus, Y Fan, M Antoniades, D Arnone, SR Arnott, T Chen, ...

BMC psychiatry

FAIMI Preface

E Puyol-Antón, A Feragen, AP King, E Ferrante, V Cheplygina, M Ganz, ...

Lecture Notes in Computer Science (including subseries Lecture Notes in …

Research Article Postprocessing of MRIs Using FreeSurfer in Epilepsy Surgery Patients Provides an Excellent Imaging Marker of Hippocampal Sclerosis but Fails to Separate Subtypes

AG Kloster, G Opheim, KÅ Alfstad, KB Larsen, P Niehusmann, E Holm, ...

Why is the winner the best?

M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...

Proceedings of the IEEE/CVF conference on computer vision and Pattern …

Selective MRI reacquisition to extend the working range of retrospective motion correction

M Laustsen, J Slipsager, T Gaaß, A Van der Kouwe, M Ganz, LG Hanson

2023 ISMRM & ISMRT Annual Meeting & Exhibition

Postprocessing of MRIs using FreeSurfer in epilepsy surgery patients provides an excellent imaging marker of hippocampal sclerosis but fails to separate subtypes

AG Kloster, G Opheim, KÅ Alfstad, KB Larsen, P Niehusmann, E Holm, ...

Acta Neurologica Scandinavica

An automatic DWI/FLAIR mismatch assessment of stroke patients

J Johansen, CM Offersen, JF Carlsen, S Ingala, AE Hansen, MB Nielsen, ...

Diagnostics

Localise to segment: crop to improve organ at risk segmentation accuracy

AG Smith, D Kutnár, IR Vogelius, S Darkner, J Petersen

arXiv preprint arXiv:2304.04606

Performance and agreement when annotating chest X-ray text reports—a preliminary step in the development of a deep learning-based prioritization and detection system

D Li, LM Pehrson, R Bonnevie, M Fraccaro, J Thrane, L Tøttrup, ...

Diagnostics

U-Sleep: Automatic Clinical Sleep Staging

PJ Jennum, M Perslev, C Igel, S Darkner

Analyzing near-infrared hyperspectral imaging for protein content regression and grain variety classification using bulk references and varying grain-to-background ratios

OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen

arXiv preprint arXiv:2311.04042

Improving deep learning on hyperspectral images of grain by incorporating domain knowledge from chemometrics

OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …

Refractive pose refinement: Generalising the geometric relation between camera and refractive interface

X Hu, F Lauze, KS Pedersen

International Journal of Computer Vision

Music-and Lyrics-driven Dance Synthesis

W Yin, Q Yao, Y Yu, H Yin, D Kragic, M Björkman

arXiv preprint arXiv:2310.00455

Learning Geometric Representations of Objects via Interaction

A Reichlin, GL Marchetti, H Yin, A Varava, D Kragic

Joint European Conference on Machine Learning and Knowledge Discovery in …

Controllable motion synthesis and reconstruction with autoregressive diffusion models

W Yin, R Tu, H Yin, D Kragic, H Kjellström, M Björkman

2023 32nd IEEE International Conference on Robot and Human Interactive …

Multimodal dance style transfer: W. Yin et al.

W Yin, H Yin, K Baraka, D Kragic, M Björkman

Machine Vision and Applications

Dance style transfer with cross-modal transformer

W Yin, H Yin, K Baraka, D Kragic, M Björkman

2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …

Fast detection of slender bodies in high density microscopy data

A Alonso, JB Kirkegaard

Communications Biology

Systematics, Biology and Morphology of World Polychaeta: Proceedings of the 2nd International Polychaete Conference, Copenhagen 1986 (Ophelia, Supplement 5)

ME Petersen, JB Kirkegaard

Brill

Epigenetic switching with asymmetric bridging interactions

LEJ Skjegstad, JF Nickels, K Sneppen, JB Kirkegaard

Biophysical Journal

Protocol to assess metabolic activity of Pseudomonas aeruginosa by measuring heat flow using isothermal calorimetry

K Beilharz, KN Kragh, B Fritz, JB Kirkegaard, T Tolker-Nielsen, ...

STAR protocols

Delivering Rules-Based Workflows for Science

D Marchant, M Blomqvist, P Jensen, I Lilholm, M Nørgaard

Proceedings of the SC'23 Workshops of the International Conference on High …

A Practical Approach to Estimating the Effect of Synchrotron Radiation on Sperm Motility and Viability

MB Lindhøj, A Bonnin, K Almstrup, TB Dyrby, R Mokso, J Sporring

bioRxiv.06. 08.544169

Iron Oxide Nanoparticles as a Contrast Agent for Synchrotron Imaging of Sperm

MB Lindhøj, SR Cooper, AS Anker, A Bonnin, M Kristensen, K Qvortrup, ...

arXiv preprint arXiv:2309.03908

Multimodal dance style transfer

W Yin, H Yin, K Baraka, D Kragic, M Björkman

Machine Vision and Applications 34 (4), 48

Morphology on categorical distributions

SN Ørting, HJT Stephensen, J Sporring

Journal of Mathematical Imaging and Vision 65 (6), 861-873

3D mitochondrial ultrastructure using volume electron microscopy

C Wang, L Østergaard, S Hasselholt, J Sporring

Ultrastructure of mitochondria in 3D from volume electron microscopy

C Wang, L Østergaard, S Hasselholt, J Sporring

Euromit: International meeting on mitochondrial pathology

Astrocytic engagement of the corticostriatal synaptic cleft is disrupted in a mouse model of Huntington’s disease

CB Villanueva, HJT Stephensen, R Mokso, A Benraiss, J Sporring, ...

Proceedings of the National Academy of Sciences 120 (24), e2210719120

2022

AI-based extraction of radiologists gaze patterns corresponding to lung regions

I Pershin, B Maksudov, T Mustafaev, B Ibragimov

International Conference on Intelligent Systems Design and Applications

Improved automated lesion segmentation in whole-body FDG/PET-CT via test-time augmentation

S Amiri, B Ibragimov

arXiv preprint arXiv:2210.07761

Semi-supervised medical image classification with temporal knowledge-aware regularization

Q Yang, X Liu, Z Chen, B Ibragimov, Y Yuan

International conference on medical image computing and computer-assisted …

A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation

D Alukaev, S Kiselev, T Mustafaev, A Ainur, B Ibragimov, T Vrtovec

European spine journal

Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation

T Vrtovec, B Ibragimov

European Spine Journal

Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling

E Kornaeva, A Kornaev, A Fetisov, I Stebakov, B Ibragimov

2022 IEEE Congress on Evolutionary Computation (CEC)

Artificial intelligence for the analysis of workload-related changes in radiologists’ gaze patterns

I Pershin, M Kholiavchenko, B Maksudov, T Mustafaev, D Ibragimova, ...

IEEE Journal of Biomedical and Health Informatics

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification

IEI Bekkouch, B Maksudov, S Kiselev, T Mustafaev, T Vrtovec, ...

Medical Image Analysis

Gaze-based attention to improve the classification of lung diseases

M Kholiavchenko, I Pershin, B Maksudov, T Mustafaev, Y Yuan, ...

Medical Imaging 2022: Image Processing

Benefits of auxiliary information in deep learning-based teeth segmentation

TL Dascalu, A Kuznetsov, B Ibragimov

Medical Imaging 2022: Image Processing

Parotid gland segmentation with nnU-Net: deployment scenario and inter-observer variability analysis

G Podobnik, P Strojan, P Peterlin, B Ibragimov, T Vrtovec

Medical Imaging 2022: Image Processing

AI-based analysis of radiologist’s eye movements for fatigue estimation: a pilot study on chest X-rays

I Pershin, M Kholiavchenko, B Maksudov, T Mustafaev, B Ibragimov

Medical Imaging 2022: Image Perception, Observer Performance, and Technology …

Segmentation of organs-at-risk from Ct and Mr images of the head and neck: baseline results

G Podobnik, B Ibragimov, P Strojan, P Peterlin, T Vrtovec

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

PROGRESS IN BIOMEDICAL OPTICS AND IMAGING-PROCEEDINGS OF SPIE

I Pershin, B Maksudov, T Mustafaev, B Ibragimov, M Kholiavchenko

Group convolutional neural networks for DWI segmentation

R Liu, F Lauze, E Bekkers, K Erleben, S Darkner

Geometric deep learning in medical image analysis

Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation

R Liu, F Lauze, K Erleben, RW Berg, S Darkner

Journal of Medical Imaging

LibHip: An open-access hip joint model repository suitable for finite element method simulation

F Moshfeghifar, T Gholamalizadeh, Z Ferguson, T Schneider, MB Nielsen, ...

Computer methods and programs in biomedicine

Pseudo-label guided image synthesis for semi-supervised covid-19 pneumonia infection segmentation

F Lyu, M Ye, JF Carlsen, K Erleben, S Darkner, PC Yuen

IEEE Transactions on Medical Imaging

Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis

J Lu, C Yin, O Krause, K Erleben, MB Nielsen, S Darkner

International Workshop on Interpretability of Machine Intelligence in …

Auto-segmentation of hip joints using multiplanar UNet with transfer learning

P Xu, F Moshfeghifar, T Gholamalizadeh, MB Nielsen, K Erleben, ...

Workshop on Medical Image Learning with Limited and Noisy Data

Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw

T Gholamalizadeh, F Moshfeghifar, Z Ferguson, T Schneider, D Panozzo, ...

Computer Methods and Programs in Biomedicine

Contact and friction simulation for computer graphics

S Andrews, K Erleben, Z Ferguson

ACM SIGGRAPH 2022 Courses

Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning

JD Tascón-Vidarte, LB Stick, M Josipovic, S Risum, J Jomier, K Erleben, ...

Plos one

Numerical methods for linear complementarity problems in physics-based animation

S Niebe, K Erleben

Springer Nature

Guide for Software and Selecting Methods

S Niebe, K Erleben

Numerical Methods for Linear Complementarity Problems in Physics-Based …

Fast Vortex Particle Method for Fluid-Character Interaction.

A Meldgaard, S Darkner, K Erleben

Graphics Interface

Biomedical image analysis competitions: The state of current participation practice

M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...

arXiv preprint arXiv:2212.08568

Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects

AS Olsen, A Lykkebo-Valløe, B Ozenne, MK Madsen, DS Stenbæk, ...

NeuroImage

Evaluating the performance of markerless prospective motion correction and selective reacquisition in a general clinical protocol for brain MRI

H Eichhorn, R Frost, A Kongsgaard, K Kettless, J Slipsager, S Glimberg, ...

OSF

Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

JY Hansen, G Shafiei, RD Markello, K Smart, SML Cox, M Nørgaard, ...

Nature neuroscience

Open and reproducible neuroimaging: From study inception to publication

G Niso, R Botvinik-Nezer, S Appelhoff, A De La Vega, O Esteban, JA Etzel, ...

NeuroImage

Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection

E Petersen, A Feragen, ML da Costa Zemsch, A Henriksen, ...

International Conference on Medical Image Computing and Computer-Assisted …

Hippocampal volume changes in a pharmacological sex-hormone manipulation risk model for depression in women

C Borgsted, E Hoegsted, S Henningsson, A Pinborg, M Ganz, VG Frokjaer

Hormones and Behavior

Evaluating the match of image quality metrics with radiological assessment in a dataset with and without motion artifacts

H Eichhorn, S Chemnitz-Thomsen, E Vouros, N Shekhrajka, R Frost, ...

2022 ISMRM & SMRT Annual Meeting & Exhibition

Emotional faces processing in major depressive disorder and prediction of antidepressant treatment response: a NeuroPharm study

PM Fisher, B Ozenne, M Ganz, VG Frokjaer, VNH Dam, BWJH Penninx, ...

Journal of Psychopharmacology

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

M Norgaard, GJ Matheson, HD Hansen, A Thomas, G Searle, G Rizzo, ...

Scientific data

Predicting treatment outcome in major depressive disorder using structural magnetic resonance imaging: a NeuroPharm study

V Beliveau, E Hedeboe, PM Fisher, VH Dam, MB Jørgensen, VG Frokjaer, ...

Neuroscience Applied

Hippocampus volume and memory function in major depressive disorder-sensitivity to mood or treatment: a Neuropharm study

KR Jensen, VH Dam, K Köhler-Forsberg, B Ozenne, DS Stenbæk, ...

Neuroscience Applied

Predicting antidepressant treatment outcome in major depressive disorder using multi-domain data: A NeuroPharm study

B Ozenne, VH Dam, M Ganz, E Beaman, V Beliveau, K Köhler-Forsberg, ...

Neuroscience Applied

Generalizability of treatment outcome prediction in major depressive disorder using structural MRI: a NeuroPharm study

V Beliveau, E Hedeboe, PM Fisher, VH Dam, MB Jørgensen, VG Frokjaer, ...

NeuroImage: Clinical

Inter-and intra-observer agreement when using a diagnostic labeling scheme for annotating findings on chest X-rays—an early step in the development of a deep learning-based …

D Li, LM Pehrson, L Tøttrup, M Fraccaro, R Bonnevie, J Thrane, ...

Diagnostics

Revisiting transformer-based models for long document classification

X Dai, I Chalkidis, S Darkner, D Elliott

Findings of the association for computational linguistics: EMNLP

An algebra for local histograms

J Sporring, S Darkner

Frontiers in Computer Science

Attenuation correction of Total Body PET using syntetic CT derived from the emission data.

M Montgomery, F Andersen, SH d'Este, S Darkner, L Højgaard, B Fischer, ...

Journal of Nuclear Medicine 63 (supplement 2)

PO-1757 A framework for in-vivo, voxel-based assessment of radiation response through multimodal imaging

M Skaarup, MJ Lundemann, S Darkner, M Jørgensen, L Marner, ...

Radiotherapy and Oncology 170, S1561-S1562

MO-0716 Radiotherapy exposure and association with observed cardiovascular toxicity in over 5000 patients

N Forbes, A Smith, J Petersen, C Terrones-Campos, J Reekie, S Darkner, ...

Radiotherapy and Oncology 170, S627-S628

Reconstructing binary signals from local histograms

J Sporring, S Darkner

Entropy

RootPainter3D: Interactive‐machine‐learning enables rapid and accurate contouring for radiotherapy

AG Smith, J Petersen, C Terrones‐Campos, AK Berthelsen, NJ Forbes, ...

Medical Physics

Information-theoretic registration with explicit reorientation of diffusion-weighted images

HG Jensen, F Lauze, S Darkner

Journal of Mathematical Imaging and Vision

Rove-Tree-11: the not-so-wild rover a hierarchically structured image dataset for deep metric learning research

R Hunt, KS Pedersen

Asian Conference on Computer Vision

Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks

ES Dreier, KM Sorensen, T Lund-Hansen, BM Jespersen, KS Pedersen

Journal of Near Infrared Spectroscopy

Consensus-based normalizing-flow control: A case study in learning dual-arm coordination

H Yin, CK Verginis, D Kragic

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …

Back to the manifold: Recovering from out-of-distribution states

A Reichlin, GL Marchetti, H Yin, A Ghadirzadeh, D Kragic

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …

Embedding Koopman optimal control in robot policy learning

H Yin, MC Welle, D Kragic

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …

Enabling visual action planning for object manipulation through latent space roadmap

M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic

IEEE Transactions on Robotics

On the Subspace Structure of Gradient-Based Meta-Learning

G Tegnér, A Reichlin, H Yin, M Björkman, D Kragic

arXiv preprint arXiv:2207.03804

Geometric multimodal contrastive representation learning

P Poklukar, M Vasco, H Yin, FS Melo, A Paiva, D Kragic

International Conference on Machine Learning

Call for Papers Focused Section on Design, Modeling, Learning and Control for Bimanual Manipulation Mechatronics

S Calinon, F Chen, M Li, N Figueroa, H Yin, J Silverio, A Billard

IEEE-ASME TRANSACTIONS ON MECHATRONICS

Leveraging hierarchy in multimodal generative models for effective cross-modality inference

M Vasco, H Yin, FS Melo, A Paiva

Neural Networks

Learning geometric representations of interactive objects

A Reichlin, GL Marchetti, H Yin, A Varava, D Kragic

Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees

M Iannotta, D Cáceres Domínguez, JA Stork, E Schaffernicht, T Stoyanov

arXiv preprint arXiv:2210.08600

A stack-of-tasks approach combined with behavior trees: A new framework for robot control

D Cáceres Domínguez, M Iannotta, JA Stork, E Schaffernicht, T Stoyanov

IEEE Robotics and Automation Letters

Emerging diversity in a population of evolving intransitive dice

JB Kirkegaard, K Sneppen

Physical Review E

Cyclic-di-GMP signaling controls metabolic activity in Pseudomonas aeruginosa

M Lichtenberg, KN Kragh, B Fritz, JB Kirkegaard, T Tolker-Nielsen, ...

Cell reports

Transcriptomic fingerprint of bacterial infection in lower extremity ulcers

BG Fritz, JB Kirkegaard, CH Nielsen, K Kirketerp‐Møller, M Malone, ...

Apmis

Structural determinants of relaxation dynamics in chemical reaction networks

Y Himeoka, JB Kirkegaard, N Mitarai, S Krishna

bioRxiv, 2022.05. 25.493374

Simultant: simultaneous curve fitting of functions and differential equations using analytical gradient calculations

JB Kirkegaard

BMC bioinformatics

Curvature strains as a global orchestrator of morphogenesis

JB Kirkegaard

Physical Review Research

Method of tracking a plurality of objects

M PERNI, QAE Peter, PK Challa, T Kartanas, P SORMANNI, ...

US Patent

Correspondence between gene expression and neurotransmitter receptor and transporter density in the human brain

JY Hansen, RD Markello, L Tuominen, M Nørgaard, E Kuzmin, ...

NeuroImage

bids-matlab

R Gau, G Flandin, A Janke, tanguyduval, R Oostenveld, C Madan, ...

https://doi.org/10.5281/zenodo.5910585

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python

KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...

10.5281/zenodo.6834519

Neuralsympcheck: A symptom checking and disease diagnostic neural model with logic regularization

A Nesterov, B Ibragimov, D Umerenkov, A Shelmanov, G Zubkova, ...

International Conference on Artificial Intelligence in Medicine

Rove-tree-11: the not-so-wild rover, a hierarchically structured image dataset for deep metric learning research

R Hunt, KS Pedersen

Proceedings of the Asian Conference on Computer Vision, 2967-2983

Structural and functional changes in a genetic model of amyotrophic lateral sclerosis

S Hasselholt, HJT Stephensen, D Janssen, A Hasselholt, A Dubois, ...

2021

Automating cardiothoracic ratio measurements in chest X-rays

S Kiselev, B Maksudov, T Mustafaev, R Kuleev, B Ibragimov

2021 International Conference" Nonlinearity, Information and Robotics"(NIR)

Mutual-prototype adaptation for cross-domain polyp segmentation

C Yang, X Guo, M Zhu, B Ibragimov, Y Yuan

IEEE Journal of Biomedical and Health Informatics

Adversarial reconstruction loss for domain generalization

IEI Bekkouch, DC Nicolae, A Khan, SMA Kazmi, AM Khattak, B Ibragimov

IEEE Access

Multi-agent shape models for hip landmark detection in MR scans

IEI Bekkouch, T Aidinovich, T Vrtovec, R Kuleev, B Ibragimov

Medical Imaging 2021: Image Processing

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ...

Scientific reports

A multi-patient analysis of the center of rotation trajectories using finite element models of the human mandible

T Gholamalizadeh, S Darkner, PL Søndergaard, K Erleben

Plos one

Coupling friction with visual appearance

S Andrews, L Nassif, K Erleben, PG Kry

Proceedings of the ACM on Computer Graphics and Interactive Techniques 4 (3 …

Global position prediction for interactive motion capture

P Schreiner, M Perepichka, H Lewis, S Darkner, PG Kry, K Erleben, ...

Proceedings of the ACM on Computer Graphics and Interactive Techniques 4 (3 …

Network for DWI Segmentation from Single Scan Learning

R Liu, F Lauze, K Erleben, S Darkner

Computational Diffusion MRI: 12th International Workshop, CDMRI 2021, Held …

Bundle geodesic convolutional neural network for DWI segmentation from single scan learning

R Liu, F Lauze, K Erleben, S Darkner

International Workshop on Computational Diffusion MRI

Cine-MRI Simulation to Evaluate Tumor Tracking

JD Tascón-Vidarte, I Wahlstedt, J Jomier, K Erleben, IR Vogelius, ...

International Workshop on Simulation and Synthesis in Medical Imaging

A direct geometry processing cartilage generation method using segmented bone models from datasets with poor cartilage visibility

F Moshfeghifar, MK Nielsen, JD Tascón-Vidarte, S Darkner, K Erleben

International Conference on Medical Image Computing and Computer-Assisted …

Mandibular teeth movement variations in tipping scenario: A finite element study on several patients

T Gholamalizadeh, S Darkner, PM Cattaneo, P Søndergaard, K Erleben

Computational Biomechanics for Medicine: Solid and Fluid Mechanics Informing …

Contact modeling from images using cut finite element solvers

S Claus, P Kerfriden, F Moshfeghifar, S Darkner, K Erleben, C Wong

Advanced Modeling and Simulation in Engineering Sciences

Locking-proof tetrahedra

M Frâncu, A Asgeirsson, K Erleben, MJL Rønnow

ACM Transactions on Graphics (TOG)

gradsim: Differentiable simulation for system identification and visuomotor control

KM Jatavallabhula, M Macklin, F Golemo, V Voleti, L Petrini, M Weiss, ...

arXiv preprint arXiv:2104.02646

https://gradsim. github. io

KM Jatavallabhula, M Macklin, F Golemo, V Voleti, L Petrini, M Weiss, ...

arXiv preprint arXiv:2104.02646

Psilocybin modulation of dynamic functional connectivity is associated with plasma psilocin and subjective effects

AS Olsen, A Lykkebo-Valløe, B Ozenne, MK Madsen, DS Stenbæk, ...

medRxiv, 2021.12. 17.21267992

Characterisation of children's head motion for magnetic resonance imaging with and without general anaesthesia

H Eichhorn, AV Vascan, M Nørgaard, AH Ellegaard, JM Slipsager, ...

Frontiers in radiology

P. 0567 Precision medicine in the treatment of first-episode depression–establishing the BrainDrugs-Depression Cohort

KR Jensen, VH Dam, M Ganz, PM Fisher, M Osler, VG Frokjaer, ...

European Neuropsychopharmacology 53, S416-S417

P. 0054 The braindrugs-epilepsy cohort-precision medicine in the treatment of epilepsy

MR Marstrand-Joergensen, VNH Dam, K Vinter, NB Andersen, CT Ip, ...

European Neuropsychopharmacology 53, S39-S40

The positron emission tomography brain imaging data structure (PET-BIDS) extension: A new standard for sharing PET data

M Norgaard, GJ Matheson, HD Hansen, A Thomas, G Searle, G Rizzo, ...

JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 41 (1_ SUPPL)

NeuroPharm study: EEG wakefulness regulation as a biomarker in MDD

CT Ip, M Ganz, VH Dam, B Ozenne, A Rüesch, K Köhler-Forsberg, ...

Journal of Psychiatric Research

Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective

E Levitis, CDG Van Praag, R Gau, S Heunis, E DuPre, G Kiar, ...

GigaScience 10 (8), giab051

Pretreatment qEEG biomarkers for predicting pharmacological treatment outcome in major depressive disorder: Independent validation from the NeuroPharm study

CT Ip, S Olbrich, M Ganz, B Ozenne, K Köhler-Forsberg, VH Dam, ...

European Neuropsychopharmacology

Assessing Bias in Medical AI

M Ganz, SH Holm, A Feragen

ICML 2021 Workshop Interpretable Machine Learning in Healthcare

A high-resolution in vivo atlas of the human brain's benzodiazepine binding site of GABA (A) receptors

M Norgaard, V Beliveau, M Ganz, C Svarer, LH Pinborg, SH Keller, ...

Neuroimage

A high-resolution in vivo atlas of the human brain's benzodiazepine binding site of GABAA receptors

M Nørgaard, V Beliveau, M Ganz, C Svarer, LH Pinborg, SH Keller, ...

Neuroimage

Reward processing in major depressive disorder and prediction of treatment response–Neuropharm study

IM Brandt, K Köhler-Forsberg, M Ganz, B Ozenne, MB Jorgensen, ...

European Neuropsychopharmacology

The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review

D Li, LM Pehrson, CA Lauridsen, L Tøttrup, M Fraccaro, D Elliott, ...

Diagnostics

A framework for voxel‐based assessment of biological effect after proton radiotherapy in pediatric brain cancer patients using multi‐modal imaging

M Skaarup, MJ Lundemann, S Darkner, M Jørgensen, L Marner, ...

Medical physics

First order locally orderless registration

S Darkner, JDT Vidarte, F Lauze

International Conference on Scale Space and Variational Methods in Computer …

U-Sleep: resilient high-frequency sleep staging

M Perslev, S Darkner, L Kempfner, M Nikolic, PJ Jennum, C Igel

NPJ digital medicine

Is Dose Accumulation in online MR-guided treatment of Liver metastases Reproducible?

I Wahlstedt, JD Tascon-Vidarte, AG Smith, S Darkner, S Risum, M Pohl, ...

Radiotherapy and Oncology 161, S1278-S1280

Predicting protein content in grain using hyperspectral deep learning

OCG Engstrøm, ES Dreier, KS Pedersen

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …

Absolute and relative pose estimation in refractive multi view

X Hu, F Lauze, KS Pedersen, J Mélou

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …

How to sense the world: Leveraging hierarchy in multimodal perception for robust reinforcement learning agents

M Vasco, H Yin, FS Melo, A Paiva

arXiv preprint arXiv:2110.03608

Graph-based task-specific prediction models for interactions between deformable and rigid objects

Z Weng, F Paus, A Varava, H Yin, T Asfour, D Kragic

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …

Learning deep energy shaping policies for stability-guaranteed manipulation

SA Khader, H Yin, P Falco, D Kragic

IEEE Robotics and Automation Letters

Graph-based normalizing flow for human motion generation and reconstruction

W Yin, H Yin, D Kragic, M Björkman

2021 30th IEEE international conference on robot & human interactive …

Learning stable normalizing-flow control for robotic manipulation

SA Khader, H Yin, P Falco, D Kragic

2021 IEEE International Conference on Robotics and Automation (ICRA)

Modeling, learning, perception, and control methods for deformable object manipulation

H Yin, A Varava, D Kragic

Science Robotics 6 (54), eabd8803

Long-term Human Motion Generation and Reconstruction Using Graph-based Normalizing Flow

W Yin, H Yin, D Kragic, M Björkman

arXiv

Dynamic environments with deformable objects

R Antonova, P Shi, H Yin, Z Weng, DK Jensfelt

Thirty-fifth Conference on Neural Information Processing Systems Datasets …

Learning Deep Neural Policies with Stability Guarantees

S Abdul Khader, H Yin, P Falco, D Kragic

Superspreading of airborne pathogens in a heterogeneous world

JB Kirkegaard, J Mathiesen, K Sneppen

Scientific reports

Comparative Studies in the A30P and A53T α-Synuclein C. elegans Strains to Investigate the Molecular Origins of Parkinson's Disease

M Perni, A Van der Goot, R Limbocker, TJ Van Ham, FA Aprile, CK Xu, ...

Frontiers in cell and developmental biology

Variability of individual infectiousness derived from aggregate statistics of Covid-19

JB Kirkegaard, K Sneppen

medRxiv, 2021.01. 15.21249870

Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging

V Beliveau, M Nørgaard, C Birkl, K Seppi, C Scherfler

Human Brain Mapping

Reproducibility of findings in modern PET neuroimaging: insight from the NRM2018 grand challenge

M Veronese, G Rizzo, M Belzunce, J Schubert, G Searle, A Whittington, ...

Journal of Cerebral Blood Flow & Metabolism

2020

Extracting clinical information from chest X-ray reports: A case study for Russian language

E Kivotova, B Maksudov, R Kuleev, B Ibragimov

2020 international conference nonlinearity, information and robotics (NIR)

Adopting Confident Learning to Eliminate Uncertainty in Chest X-ray Images for Lung Nodules Prediction

M Kholiavchenko, B Maksudov, I Sirazitdinov, T Mustafaev, R Kuleev, ...

International Journal of Radiation Oncology, Biology, Physics

Automated Localization of Lung Nodules from Chest X-rays With Deep Neural Networks

B Maksudov, S Kiselev, M Kholiavchenko, T Mustafaev, R Kuleev, ...

International Journal of Radiation Oncology, Biology, Physics

Joint spatial-wavelet dual-stream network for super-resolution

Z Chen, X Guo, C Yang, B Ibragimov, Y Yuan

International conference on medical image computing and computer-assisted …

Deep learning for diagnosis and segmentation of pneumothorax: the results on the kaggle competition and validation against radiologists

A Tolkachev, I Sirazitdinov, M Kholiavchenko, T Mustafaev, B Ibragimov

IEEE Journal of Biomedical and Health Informatics

Evaluation of deep learning methods for bone suppression from dual energy chest radiography

I Sirazitdinov, K Kubrak, S Kiselev, A Tolkachev, M Kholiavchenko, ...

International Conference on Artificial Neural Networks

Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow

H Liu, Y Lin, B Ibragimov, C Zhang

Biomedical Signal Processing and Control

Auto‐segmentation of organs at risk for head and neck radiotherapy planning: from atlas‐based to deep learning methods

T Vrtovec, D Močnik, P Strojan, F Pernuš, B Ibragimov

Medical physics 47 (9), e929-e950

Primal/dual descent methods for dynamics

M Macklin, K Erleben, M Müller, N Chentanez, S Jeschke, TY Kim

Computer Graphics Forum

Local optimization for robust signed distance field collision

M Macklin, K Erleben, M Müller, N Chentanez, S Jeschke, Z Corse

Proceedings of the ACM on Computer Graphics and Interactive Techniques 3 (1 …

Stefan Jeschke

S Jeschke, C Wojtan, N Chentanez, M Müller, M Macklin, C Hafner, ...

Proceedings of the ACM on Computer Graphics and Interactive Techniques

The Matchstick Model for Anisotropic Friction Cones

K Erleben, M Macklin, S Andrews, PG Kry

Computer Graphics Forum

Kan kunstig intelligens give fair forudsigelser?

SH Holm, M Ganz, A Feragen

https://videnskab.dk/forskerzonen/teknologi-innovation/kan-kunstig …

False positive rates in positron emission tomography (PET) voxelwise analyses

M Ganz, M Noergaard, V Beliveau, C Svarer, GM Knudsen, DN Greve

Journal of Cerebral Blood Flow & Metabolism

Restoring drifted electron microscope volumes using synaptic vesicles at sub-pixel accuracy

HJT Stephensen, S Darkner, J Sporring

Communications biology

Latent space roadmap for visual action planning of deformable and rigid object manipulation

M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …

Stability-guaranteed reinforcement learning for contact-rich manipulation

SA Khader, H Yin, P Falco, D Kragic

IEEE Robotics and Automation Letters

In-hand manipulation of objects with unknown shapes

S Cruciani, H Yin, D Kragic

2020 IEEE International Conference on Robotics and Automation (ICRA)

Data-efficient model learning and prediction for contact-rich manipulation tasks

SA Khader, H Yin, P Falco, D Kragic

IEEE robotics and automation letters

Benchmarking bimanual cloth manipulation

I Garcia-Camacho, M Lippi, MC Welle, H Yin, R Antonova, A Varava, ...

IEEE Robotics and Automation Letters

Airborne Pathogens in a Heterogeneous World: Superspreading & Mitigation

JB Kirkegaard, J Mathiesen, K Sneppen

medRxiv, 2020.10. 24.20218784

Metabolic flux fingerprinting differentiates planktonic and biofilm states of Pseudomonas aeruginosa and Staphylococcus aureus

M Lichtenberg, KN Kragh, B Fritz, J Bier-Kirkegaard, T Bjarnsholt

BioRxiv, 2020.07. 15.203828

Optimal transport flows for distributed production networks

JB Kirkegaard, K Sneppen

Physical Review Letters

nipy/nipype: 1.5. 1

O Esteban, CJ Markiewicz, C Burns, M Goncalves, D Jarecka, E Ziegler, ...

Zenodo

Different preprocessing strategies lead to different conclusions: A [11C]DASB-PET reproducibility study

M Nørgaard, M Ganz, C Svarer, VG Frokjaer, DN Greve, SC Strother, ...

Journal of Cerebral Blood Flow and Metabolism

Guidelines for the content and format of PET brain data in publications and archives: a consensus paper

GM Knudsen, M Ganz, S Appelhoff, R Boellaard, G Bormans, RE Carson, ...

Journal of Cerebral Blood Flow & Metabolism

JCB905433 Supplemental Material1-Supplemental material for Guidelines for the content and format of PET brain data in publications and archives: A consensus paper

GM Knudsen, M Ganz, S Appelhoff, R Boellaard, G Bormans, RE Carson, ...

(No Title)

Estimating PET partial volume full-width-half-maximum directly from human data

DN Greve, M Schain, M Ganz, M Nørgaard, C Svarer, G Knudsen

Deep learning for identification of critical regions associated with toxicities after liver stereotactic body radiation therapy

B Ibragimov, DAS Toesca, DT Chang, Y Yuan, AC Koong, L Xing, ...

Medical physics

Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation

B Ibragimov, DAS Toesca, DT Chang, Y Yuan, AC Koong, L Xing

Neurocomputing

Contour-aware multi-label chest X-ray organ segmentation

M Kholiavchenko, I Sirazitdinov, K Kubrak, R Badrutdinova, R Kuleev, ...

International Journal of Computer Assisted Radiology and Surgery

P. 282 Hippocampal volume changes are linked to depressive symptoms independent of sex-steroid hormone manipulation: a pharmacological structural MRI study

CB Larsen, M Ganz, S Henningsson, A Pinborg, V Frokjaer

European Neuropsychopharmacology 40, S159-S160

Optimizing a preprocessing pipeline for structural 7T MR analyses in FreeSurfer

G Opheim, O Puonti, JO Pedersen, VO Boer, A Kloster, M Prener, ...

International Society of Magnetic Resonance in Medicine

Predicting treatment outcome in major depressive disorder using serotonin 4 receptor PET brain imaging, functional MRI, cognitive-, EEG-based, and peripheral biomarkers: a …

K Köhler-Forsberg, A Jorgensen, VH Dam, DS Stenbæk, PM Fisher, CT Ip, ...

Frontiers in psychiatry

The structure of the serotonin system: A PET imaging study

V Beliveau, B Ozenne, S Strother, DN Greve, C Svarer, GM Knudsen, ...

Neuroimage

Algoritmer kopierer lægers fordomme om race og køn

M Ganz, SH Holm, A Feragen

Politiken

2019

High fidelity simulation of corotational linear FEM for incompressible materials

M Frâncu, A Asgeirsson, K Erleben

Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and …

Non-smooth newton methods for deformable multi-body dynamics

M Macklin, K Erleben, M Müller, N Chentanez, S Jeschke, V Makoviychuk

ACM Transactions on Graphics (TOG)

Automated acquisition of anisotropic friction

K Dreßel, K Erleben, P Kry, S Andrews

2019 16th Conference on Computer and Robot Vision (CRV)

Data driven inverse kinematics of soft robots using local models

F Holsten, MP Engell-Nørregård, S Darkner, K Erleben

2019 International conference on robotics and automation (ICRA)

A validated physical model for real-time simulation of soft robotic snakes

R Gasoto, M Macklin, X Liu, Y Sun, K Erleben, C Onal, J Fu

2019 International Conference on Robotics and Automation (ICRA)

Solving inverse kinematics using exact Hessian matrices

K Erleben, S Andrews

Computers & Graphics

Topaware: Topology-aware registration

RK Nielsen, S Darkner, A Feragen

International Conference on Medical Image Computing and Computer-Assisted …

Accuracy of Deformable Image Registration in Radiotherapy for Liver Cancer

JD Tascón-Vidarte, LB Stick, IR Vogelius, S Darkner

Deterministic Group Tractography with Local Uncertainty Quantification

AN Holm, A Feragen, T Dela Haije, S Darkner

International Conference on Medical Image Computing and Computer-Assisted …

Voxel-based assessment of proton RBE in paediatric brain cancer radiotherapy from multimodal imaging

M Skaarup, AL Appelt, MJ Lundemann, S Darkner, M Jørgensen, ...

Radiotherapy and Oncology 133, S1043-S1044

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

S Darkner

ArXiv

What can physicians expect from deep learning in daily practice?

TH Andersen, S Darkner, H Gutte, L Lönn, JF Carlsen

European Symposium on Vascular Biomaterials. 11th: Biomaterials and Digital …

Pre-harvest weed mapping of Cirsium arvense in wheat and barley with off-the-shelf UAVs

J Rasmussen, J Nielsen, JC Streibig, JE Jensen, KS Pedersen, SI Olsen

Precision Agriculture

A cross-center smoothness prior for variational Bayesian brain tissue segmentation

WM Kouw, SN Ørting, J Petersen, KS Pedersen, M de Bruijne

International Conference on Information Processing in Medical Imaging

Deep learning for detection of railway signs and signals

G Karagiannis, S Olsen, K Pedersen

Science and Information Conference

An ensemble inverse optimal control approach for robotic task learning and adaptation

H Yin, FS Melo, A Paiva, A Billard

Autonomous Robots

Probabilistic model learning and long-term prediction forcontact-rich manipulation tasks

P Khader, H Yin, D Kragic

CoRR, vol. abs/1909.04915

Research Article The Influence of Speed and Position in Dynamic Gesture Recognition for Human-Robot Interaction

JC Castillo, F Alonso-Martín, D Cáceres-Domínguez, M Malfaz, ...

The Influence of Speed and Position in Dynamic Gesture Recognition for Human‐Robot Interaction

JC Castillo, F Alonso-Martín, D Cáceres-Domínguez, M Malfaz, ...

Journal of Sensors

Self-assembly, buckling and density-invariant growth of three-dimensional vascular networks

JB Kirkegaard, BF Nielsen, A Trusina, K Sneppen

Journal of the Royal Society Interface

P. 263 The impact of different preprocessing strategies in positron emission tomography: a [11C] DASB Study

M Nørgaard, M Ganz, C Svarer, VG Frokjaer, DN Greve, SC Strother, ...

European Neuropsychopharmacology 29, S197-S198

Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging

M Nørgaard, B Ozenne, C Svarer, VG Frokjaer, M Schain, SC Strother, ...

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 …

The impact of different preprocessing strategies in PET neuroimaging: A [C-11] DASB-PET study

M Norgaard, M Ganz, C Svarer, VG Frokjaer, DN Greve, SC Strother, ...

JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [11C] DASB PET study

M Nørgaard, M Ganz, C Svarer, VG Frokjaer, DN Greve, SC Strother, ...

NeuroImage

Cerebral serotonin transporter measurements with [11C]DASB: A review on acquisition and preprocessing across 21 PET centres

M Nørgaard, M Ganz, C Svarer, L Feng, M Ichise, R Lanzenberger, ...

Journal of Cerebral Blood Flow & Metabolism

Optimizing Preprocessing Pipelines in PET/MR Neuroimaging

M Nørgaard

København: Eget forlag

HIGH-THROUGHPUT RAT BRAIN PET IMAGING AND AUTOMATIC SPATIAL NORMALIZATION OF THE DOPAMINE D2/3 RECEPTOR LIGAND [18F] FALLYPRIDE

D Lange, IM Tejada, M Xiong, B Hillebrand, M Norgaard, S Baerentzen, ...

Densely connected neural network with unbalanced discriminant and category sensitive constraints for polyp recognition

Y Yuan, W Qin, B Ibragimov, G Zhang, B Han, MQH Meng, L Xing

IEEE transactions on automation science and engineering

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database

I Sirazitdinov, M Kholiavchenko, T Mustafaev, Y Yixuan, R Kuleev, ...

Computers & electrical engineering

Data augmentation for chest pathologies classification

I Sirazitdinov, M Kholiavchenko, R Kuleev, B Ibragimov

2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …

Neural networks for deep radiotherapy dose analysis and prediction of liver SBRT outcomes

B Ibragimov, DAS Toesca, Y Yuan, AC Koong, DT Chang, L Xing

IEEE journal of biomedical and health informatics

Prostate cancer classification with multiparametric MRI transfer learning model

Y Yuan, W Qin, M Buyyounouski, B Ibragimov, S Hancock, B Han, L Xing

Medical physics

Minimal variance sampling in stochastic gradient boosting

B Ibragimov, G Gusev

Advances in Neural Information Processing Systems

2018

Methodology for assessing mesh-based contact point methods

K Erleben

ACM Transactions on Graphics (TOG)

Local Models for Data Driven Inverse Kinematics of Soft Robots.

F Holsten, S Darkner, MP Engell-Nørregård, K Erleben

Symposium on Computer Animation (Posters)

VRIPHYS 18: 14th Workshop on Virtual Reality Interactions and Physical Simulations

S Andrews, K Erleben, F Jaillet, G Zachmann

VRIPHYS 18: 14h Workshop on Virtual Reality Interactions and Physical …

Foreword to the Special Section on VRIPHYS 2018

S Andrews, K Erleben, F Jaillet, G Zachmann

Computers and Graphics 76, A3-A4

Automatic Geometry Correction for a Kinect-Projector System in Dynamic Environment

F Jaillet, G Zachmann, K Erleben, S Andrews

Workshop on Virtual Reality Interaction and Physical Simulation VRIPHYS

An average of the human ear canal: Recovering acoustical properties via shape analysis

S Darkner, S Sommer, A Schuhmacher, HIAO Baandrup, C Thomsen, ...

arXiv preprint arXiv:1811.03848

Brain extraction and segmentation framework for bias field rich cranial MRI scans of rats

JDK Hansen, F Lauze, S Darkner, KN Mortensen, S Sanggaard, ...

Annual meeting ISMRM, Paris, France

Brain Segmentation in Rodent MR-Images Using Convolutional Neural Networks

B Sigurdsson, S Darkner, SH Sommer, KN Mortensen, S Sanggaard, ...

Joint Annual Meeting ISMRM-ESMRMB

Safety and Efficacy of Autologous Tissue-derived Mesenchymal Stem Cells for Radiation-Induced Xerostomia: A Randomized, Placebo-Controlled Phase I/II Trial (MESRIX)

C Grønhøj, DH Jensen, P Vester-Glowinski, SB Jensen, A Bardow, ...

International Journal of Radiation Oncology• Biology• Physics

Do children perceive whether a robotic peer is learning or not?

S Chandra, R Paradeda, H Yin, P Dillenbourg, R Prada, A Paiva

Proceedings of the 2018 ACM/IEEE international conference on human-robot …

Incorporating human expertise in robot motion learning and synthesis

H Yin

EPFL

Boosting Robot Learning and Control with Domain Constraints

H Yin, FS Melo, A Billard, A Paiva

Robotics: Science and Systems: RSS Pioneer Workshop

Physical and Stochastic Aspects of Microorganism Behaviour

JB Kirkegaard

Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery

M Perni, PK Challa, JB Kirkegaard, R Limbocker, M Koopman, ...

Journal of neuroscience methods

The role of tumbling frequency and persistence in optimal run-and-tumble chemotaxis

JB Kirkegaard, RE Goldstein

IMA Journal of Applied Mathematics

The noisy basis of morphogenesis: Mechanisms and mechanics of cell sheet folding inferred from developmental variability

PA Haas, SSMH Höhn, AR Honerkamp-Smith, JB Kirkegaard, ...

PLoS biology

Multistep Inhibition of α-Synuclein Aggregation and Toxicity in Vitro and in Vivo by Trodusquemine

M Perni, P Flagmeier, R Limbocker, R Cascella, FA Aprile, C Galvagnion, ...

ACS chemical biology

Seasonality-resilient individuals downregulate their cerebral 5-HT transporter binding in winter – A longitudinal combined 11 C-DASB and 11 C-SB207145 PET study

Mc Mahon B, Nørgaard M, Svarer C, Andersen SB, Madsen MK, Baaré WFC, Madsen ...

Eur Neuropsychopharmacol

The impact of preprocessing pipeline choice in univariate and multivariate analyses of PET data

M Nørgaard, DN Greve, C Svarer, SC Strother, GM Knudsen, M Ganz

2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI)

Low 5-HT1B receptor binding in the migraine brain: A PET study

M Deen, HD Hansen, A Hougaard, S da Cunha-Bang, M Nørgaard, ...

Cephalalgia

High brain serotonin levels in migraine between attacks: A 5-HT4 receptor binding PET study

M Deen, HD Hansen, A Hougaard, M Nørgaard, H Eiberg, S Lehel, ...

NeuroImage: Clinical

Predicting Survival after Liver SBRT by Deep Learning-Based Analysis of Treatment Dose Plans

B Ibragimov, D Toesca, DT Chang, AC Koong, L Xing

International Journal of Radiation Oncology, Biology, Physics

Learning deconvolutional deep neural network for high resolution medical image reconstruction

H Liu, J Xu, Y Wu, Q Guo, B Ibragimov, L Xing

Information Sciences

Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT

B Ibragimov, D Toesca, D Chang, Y Yuan, A Koong, L Xing

Medical physics

Deep 3D dose analysis for prediction of outcomes after liver stereotactic body radiation therapy

B Ibragimov, DAS Toesca, Y Yuan, AC Koong, DT Chang, L Xing

International Conference on Medical Image Computing and Computer-Assisted …

RIIS-DenseNet: Rotation-invariant and image similarity constrained densely connected convolutional network for polyp detection

Y Yuan, W Qin, B Ibragimov, B Han, L Xing

International conference on medical image computing and computer-assisted …

Segmentation of parotid glands from registered CT and MR images

D Močnik, B Ibragimov, L Xing, P Strojan, B Likar, F Pernuš, T Vrtovec

Physica Medica

Convolutional Neural Networks for Identifying Correlation Between Dose Patterns Associated with Poor Survival and Early Local Recurrence After Metastatic Liver SBRT

B Ibragimov, Y Yuan, D Toesca, D Chang, A Koong, L Xing

MEDICAL PHYSICS 45 (6), E415-E415

Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation

W Qin, J Wu, F Han, Y Yuan, W Zhao, B Ibragimov, J Gu, L Xing

Physics in Medicine & Biology

Strategies for prediction and mitigation of radiation-induced liver toxicity

DAS Toesca, B Ibragimov, AJ Koong, L Xing, AC Koong, DT Chang

Journal of radiation research 59 (suppl_1), i40-i49

Pre-intervention test-retest reliability of EEG and ERP over four recording intervals

CT Ip, M Ganz, B Ozenne, LB Sluth, M Gram, G Viardot, P l'Hostis, ...

International Journal of Psychophysiology

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

A Carass, JL Cuzzocreo, S Han, CR Hernandez-Castillo, PE Rasser, ...

Neuroimage

Multi-view consensus CNN for 3D facial landmark placement

RR Paulsen, KA Juhl, MT Haspang, T Hansen, M Ganz, G Einarsson

Proceedings of the Asian Conference on Computer Vision (ACCV)

2017

Chunked bounding volume hierarchies for fast digital prototyping using volumetric meshes

R Schmidtke, K Erleben

IEEE transactions on visualization and computer graphics

A fast linear complementarity problem solver for fluid animation using high level algebra interfaces for GPU libraries

M Andersen, S Niebe, K Erleben

Computers & Graphics

Inverse kinematics problems with exact hessian matrices

K Erleben, S Andrews

Proceedings of the 10th International Conference on Motion in Games

Modeling Virtual Humans

J Bender, K Erleben, B Solenthaler

IEEE Computer Graphics and Applications

Rigid body contact problems using proximal operators

K Erleben

Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation …

Constraint reordering for iterative multi-body simulation with contact

S Andrews, K Erleben, PG Kry, M Teichmann

ECCOMAS Thematic Conference on Multibody Dynamic

A fast linear complementarity problem (LCP) solver for separating fluid-solid wall boundary conditions

M Andersen, S Niebe, K Erleben

Proceedings of the 13th Workshop on Virtual Reality Interactions and …

A numerical strategy for finite element modeling of frictionless asymmetric vocal fold collision

A Granados, MK Misztal, J Brunskog, V Visseq, K Erleben

International Journal for Numerical Methods in Biomedical Engineering 33 (2 …

VRIPHYS 17: 13th Workshop on Virtual Reality Interactions and Physical Simulations

F Zara

Collocation for diffeomorphic deformations in medical image registration

S Darkner, A Pai, MG Liptrot, J Sporring

IEEE Transactions on Pattern Analysis and Machine Intelligence

[P4–225]: HIPPOCAMPAL TEXTURE PREDICTS RATE OF COGNITIVE DECLINE IN MILD COGNITIVE IMPAIRMENT

A Pai, JA Pillai, L Sørensen, S Darkner, S Sommer, M Nielsen, ...

Alzheimer's & Dementia 13 (7S_Part_28), P1356-P1356

First-in-man mesenchymal stem cells for radiation-induced xerostomia (MESRIX): study protocol for a randomized controlled trial

C Grønhøj, DH Jensen, PV Glovinski, SB Jensen, A Bardow, RS Oliveri, ...

Trials

In vivo study of the human ear canal using contrast-enhanced MRI

S Darkner, S Jonsson, S Sommer

25th Annual Meeting of the International Society for Magnetic Resonance in …

3D analysis of synaptic vesicle density and distribution after acute foot‐shock stress by using serial section transmission electron microscopy

M Khanmohammadi, S Darkner, N Nava, JR Nyengaard, G Wegener, ...

Journal of Microscopy

Big universe, big data: machine learning and image analysis for astronomy

J Kremer, K Stensbo-Smidt, F Gieseke, KS Pedersen, C Igel

IEEE Intelligent Systems

Sacrificing information for the greater good: how to select photometric bands for optimal accuracy

K Stensbo-Smidt, F Gieseke, C Igel, A Zirm, K Steenstrup Pedersen

Monthly Notices of the Royal Astronomical Society

Affect of robot's competencies on children's perception

S Chandra, R Paradeda, H Yin, P Dillenbourg, R Prada, A Paiva

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …

Associate latent encodings in learning from demonstrations

H Yin, F Melo, A Billard, A Paiva

Proceedings of the AAAI conference on artificial intelligence

Dynamic gesture recognition for social robots

JC Castillo, D Cáceres-Domínguez, F Alonso-Martín, Á Castro-González, ...

International Conference on Social Robotics

Mechanics and Variability of Cell Sheet Folding in the Embryonic Inversion of $ Volvox$

PA Haas, SSMH Höhn, AR Honerkamp-Smith, JB Kirkegaard, ...

arXiv preprint arXiv:1708.07765

Intra-chain organisation of hydrophobic residues controls inter-chain aggregation rates of amphiphilic polymers

P Varilly, AP Willard, JB Kirkegaard, TPJ Knowles, D Chandler

The Journal of Chemical Physics

A natural product inhibits the initiation of alpha-synuclein aggregation and suppresses its toxicity

M Perni, C Galvagnion, A Maltsev, G Meisl, MBD Mueller, PK Challa, ...

Proceedings of the National Academy of Sciences of the United States of …

Brain networks implicated in seasonal affective disorder: a neuroimaging PET study of the serotonin transporter

M Nørgaard, M Ganz, C Svarer, PM Fisher, NW Churchill, V Beliveau, ...

Frontiers in neuroscience

Seasonality-resilient individuals downregulate their cerebral serotonin transporter binding in winter while 5-HT levels appear unchanged: A longitudinal combined 11C-DASB and …

B Mc Mahon, M Nørgaard, C Svarer, SB Andersen, MK Madsen, ...

Feasibility of multiparametric imaging with PET/MR in head and neck squamous cell carcinoma

JH Rasmussen, M Nørgaard, AE Hansen, IR Vogelius, MC Aznar, ...

Journal of Nuclear Medicine

Combining deep learning with anatomical analysis for segmentation of the portal vein for liver SBRT planning

B Ibragimov, D Toesca, D Chang, A Koong, L Xing

Physics in Medicine & Biology

Deep learning-based autosegmentation of portal vein for prediction of central liver toxicity after SBRT

B Ibragimov, DAS Toesca, DT Chang, AC Koong, L Xing

International Journal of Radiation Oncology, Biology, Physics 99 (2), E672

Intervertebral disc segmentation in MR images with 3D convolutional networks

R Korez, B Ibragimov, B Likar, F Pernuš, T Vrtovec

Medical Imaging 2017: Image Processing

Segmentation of pathological structures by landmark-assisted deformable models

B Ibragimov, R Korez, B Likar, F Pernuš, L Xing, T Vrtovec

IEEE transactions on medical imaging

Segmentation of organs‐at‐risks in head and neck CT images using convolutional neural networks

B Ibragimov, L Xing

Medical physics

Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours

D Li, L Liu, J Chen, H Li, Y Yin, B Ibragimov, L Xing

Physics in Medicine & Biology

Landmark-based statistical shape representations

B Ibragimov, T Vrtovec

Statistical shape and deformation analysis

Fully automated quantitative cephalometry using convolutional neural networks

SÖ Arık, B Ibragimov, L Xing

Journal of Medical Imaging

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

G Zheng, C Chu, DL Belavý, B Ibragimov, R Korez, T Vrtovec, H Hutt, ...

Medical image analysis

BASELINE RELIABILITY OF EEG AND ERP IN A FOUR-WAY CROSSOVER STUDY IN HEALTHY SUBJECTS

C Ip, M Ganz, B Ozenne, L Sluth, M Gram, G Viardot, l'Hostis, Philippe, ...

PSYCHOPHYSIOLOGY 54, S59-S59

Cerebellar heterogeneity and its impact on PET data quantification of 5-HT receptor radioligands

M Ganz, L Feng, HD Hansen, V Beliveau, C Svarer, GM Knudsen, ...

Journal of Cerebral Blood Flow & Metabolism

Permutations Tests for Binary Classification:Revisited

M Ganz, E Konukoglu

Pattern Recognition in Neuroimaging (PRNI), 2017 International Workshop on

A High-Resolution In Vivo Atlas of the Human Brain's Serotonin System

V Beliveau, M Ganz, L Feng, B Ozenne, L Højgaard, PM Fisher, C Svarer, ...

The Journal of Neuroscience

Crowdsourcing for error detection in cortical surface delineations

M Ganz, D Kondermann, J Andrulis, GM Knudsen, L Maier-Hein

International journal of computer assisted radiology and surgery

2016

A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images

A Pai, S Sommer, LL Raket, L Kühnel, S Darkner, L Sørensen, M Nielsen

Bayesian and grAphical Models for Biomedical Imaging

The minimal energetic requirement of sustained awareness after brain injury

J Stender, KN Mortensen, A Thibaut, S Darkner, S Laureys, A Gjedde, ...

Current Biology

RESTING-STATE BRAIN ENERGY METABOLISM PREDICTS LEVEL AND CONTENT OF CONSCIOUSNESS AFTER SEVERE BRAIN INJURY

J Stender, KN Mortensen, R Kupers, A Thibaut, S Darkner, S Laureys, ...

JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

Structural parcellation of the thalamus using shortest-path tractography

N Kasenburg, S Darkner, U Hahn, M Liptrot, A Feragen

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Finding significantly connected voxels based on histograms of connection strengths

N Kasenburg, MV Pedersen, S Darkner

Medical Imaging 2016: Image Processing

Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation

M Michalkiewicz, A Pai, KK Leung, S Sommer, S Darkner, L Sørensen, ...

Medical Imaging 2016: Image Processing

Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease

A Pai, J Sporring, S Darkner, EB Dam, M Lillholm, D Jørgensen, J Oh, ...

Journal of Medical Imaging

Recycling on a Cosmic Scale

K Stensbo-Smidt, KS Pedersen, C Igel

Special section on 19th Scandinavian conference on image analysis (SCIA 2015)

K Steenstrup Pedersen, RR Paulsen

Pattern Recognition Letters

Droner til monitering af flerårigt ukrudt i korn

J Rasmussen, J Nielsen, JC Streibig, SI Olsen, KS Pedersen, JE Jensen

Bekæmpelsesmiddelforskning

Synthesizing robotic handwriting motion by learning from human demonstrations

H Yin, P Alves-Oliveira, FS Melo, A Billard, A Paiva

Proceedings of the 25th International Joint Conference on Artificial …

Aerotaxis in the closest relatives of animals

A Bouillant, RE Goldstein, K Leptos, JB Kirkegaard, AO Marron

eLife Sciences Publications Ltd

Filter-feeding, near-field flows, and the morphologies of colonial choanoflagellates

RE Goldstein, JB Kirkegaard

American Physical Society

Feeding, Swimming and Navigation of Colonial Microorganisms

J Kirkegaard, A Bouillant, A Marron, K Leptos, R Goldstein

APS Division of Fluid Dynamics Meeting Abstracts, H39

Fluctuations in the kinetics of linear protein self-assembly

TCT Michaels, AJ Dear, JB Kirkegaard, KL Saar, DA Weitz, TPJ Knowles

Physical review letters

Molecular mechanisms of protein aggregation from global fitting of kinetic models

G Meisl, JB Kirkegaard, P Arosio, TCT Michaels, M Vendruscolo, ...

Nature protocols

Motility of Colonial Choanoflagellates and the Statistics of Aggregate Random Walkers

RE Goldstein, JB Kirkegaard, AO Marron

American Physical Society

Development of a novel deep learning algorithm for autosegmentation of clinical tumor volume and organs at risk in head and neck radiation therapy planning

B Ibragimov, F Pernuš, P Strojan, L Xing

International Journal of Radiation Oncology, Biology, Physics 96 (2), S226

A benchmark for comparison of dental radiography analysis algorithms

CW Wang, CT Huang, JH Lee, CH Li, SW Chang, MJ Siao, TM Lai, ...

Medical image analysis

TH‐CD‐206‐05: Machine‐Learning Based Segmentation of Organs at Risks for Head and Neck Radiotherapy Planning

B Ibragimov, F Pernus, P Strojan, L Xing

Medical physics 43 (6Part46)

Accurate landmark-based segmentation by incorporating landmark misdetections

B Ibragimov, B Likar, F Pernuš, T Vrtovec

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

A multi-center milestone study of clinical vertebral CT segmentation

J Yao, JE Burns, D Forsberg, A Seitel, A Rasoulian, P Abolmaesumi, ...

Computerized medical imaging and graphics

Serotonin 2A receptor agonist binding in the human brain with [11C] Cimbi-36: test–retest reproducibility and head-to-head comparison with the antagonist [18F] altanserin

A Ettrup, C Svarer, B McMahon, S da Cunha-Bang, S Lehel, K Møller, ...

Neuroimage

2015

Kernel bundle diffeomorphic image registration using stationary velocity fields and wendland basis functions

A Pai, S Sommer, L Sørensen, S Darkner, J Sporring, M Nielsen

IEEE transactions on medical imaging

Locally orderless registration for diffusion weighted images

HG Jensen, F Lauze, M Nielsen, S Darkner

International Conference on Medical Image Computing and Computer-Assisted …

Diffeomorphic image registration with automatic time-step adjustment

A Pai, S Klein, S Sommer, S Darkner, J Sporring, M Nielsen

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)

Automatic correction of dental artifacts in PET/MRI

CN Ladefoged, FL Andersen, SH Keller, T Beyer, I Law, L Højgaard, ...

Journal of Medical Imaging

Image registration using stationary velocity fields parameterized by norm-minimizing wendland kernel

A Pai, S Sommer, L Sørensen, S Darkner, J Sporring, M Nielsen

Medical Imaging 2015: Image Processing

Multimodal Brain Extraction from Structural MRI using Co-registered FDG-PET

SD Henrik G Jensen, Frederik Federspiel, Maurice Ptito, Mads Nielsen, Albert ...

CMMI Workshop MICCAI

Nearest neighbor density ratio estimation for large-scale applications in astronomy

J Kremer, F Gieseke, KS Pedersen, C Igel

Astronomy and Computing

Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings

RR Paulsen, KS Pedersen

Springer

Image Analysis.: Proceedings. 19th Scandinavian Conference, SCIA 2015Copenhagen, Denmark, June 15–17, 2015

RR Paulsen, KS Pedersen

19th Scandinavian Conference on Image Analysis

Pre-harvest assessment of perennial weeds in cereals based on images from unmanned aerial systems (UAS)

JG Egilsson, KS Pedersen, SI Olsen, J Nielsen, G Ntakos, J Rasmussen

17th European Weed Research Society Symposium “Weed management in changing …

Bidirectional learning of handwriting skill in human-robot interaction

H Yin, A Billard, A Paiva

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human …

Estimation of Regional Seasonal Variations in SERT-levels using the FreeSurfer PET pipeline: a reproducibility study

M Nørgaard, M Ganz, C Svarer, V Beliveau, PM Fisher, B Mc Mahon, ...

Proceedings of the MICCAI workshop on computational methods for molecular …

Deformable model-based segmentation of intervertebral discs from MR spine images by using the SSC descriptor

R Korez, B Ibragimov, B Likar, F Pernuš, T Vrtovec

International Workshop and Challenge on Computational Methods and Clinical …

Computerized cephalometry by game theory with shape-and appearance-based landmark refinement

B Ibragimov, B Likar, F Pernus, T Vrtovec

Proceedings of International Symposium on Biomedical imaging (ISBI)

Optimal reinforcement of training datasets in semi-supervised landmark-based segmentation

B Ibragimov, B Likar, F Pernuš, T Vrtovec

Medical Imaging 2015: Image Processing

Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge

CW Wang, CT Huang, MC Hsieh, CH Li, SW Chang, WC Li, R Vandaele, ...

IEEE transactions on medical imaging

Interpolation-based shape-constrained deformable model approach for segmentation of vertebrae from CT spine images

R Korez, B Ibragimov, B Likar, F Pernuš, T Vrtovec

Recent advances in computational methods and clinical applications for spine …

Interpolation-based detection of lumbar vertebrae in CT spine images

B Ibragimov, R Korez, B Likar, F Pernuš, T Vrtovec

Recent Advances in Computational Methods and Clinical Applications for Spine …

An improved shape-constrained deformable model for segmentation of vertebrae from CT lumbar spine images

R Korez, B Ibragimov, B Likar, F Pernuš, T Vrtovec

Recent Advances in Computational Methods and Clinical Applications for Spine …

Segmentation of tongue muscles from super-resolution magnetic resonance images

B Ibragimov, JL Prince, EZ Murano, J Woo, M Stone, B Likar, F Pernuš, ...

Medical image analysis

A framework for automated spine and vertebrae interpolation-based detection and model-based segmentation

R Korez, B Ibragimov, B Likar, F Pernuš, T Vrtovec

IEEE transactions on medical imaging

Relevant feature set estimation with a knock-out strategy and random forests

M Ganz, DN Greve, B Fischl, E Konukoglu, ...

NeuroImage

High-resolution surface and volume-based in vivo atlas of the serotonin system in the healthy brain

V Beliveau, M Ganz, C Svarer, G Knudsen, D Greve

Human Brain Mapping

Vermis - to exclude or not exclude? Defining a proper reference region for PET modelling of the serotonin system

M Ganz, HD Hansen, V Beliveau, L Feng, C Svarer, GM Knudsen

12th International Conference on Quantification of Brain Function with PET

Serotonin 2A receptor agonist binding in the human brain with [11C] Cimbi-36: test-retest reproducibility and comparison with [18F] altanserin

A Ettrup, C Svarer, B McMahon, S Da Cunha-Bang, S Lehel, K Møller, ...

European Neuropsychopharmacology 25, S309-S310

2014

Photon differential splatting for rendering caustics

JR Frisvad, L Schjøth, K Erleben, J Sporring

Computer Graphics Forum

Interactive simulation of rigid body dynamics in computer graphics

J Bender, K Erleben, J Trinkle

Computer graphics forum

Proceedings of the ACM SIGGRAPHEurographics Symposium on Computer Animation

K Erleben

Eurographics Association

Finite element modeling of the vocal folds with deformable interface tracking

AG Corsellas, J Brunskog, MK Misztal, V Visseq, K Erleben

7th Forum Acusticum

Disjoint domains interactions framework for hyperelastic simulations

U Bonde, MK Misztal, V Visseq, K Erleben

11th World Congress on Computational Mechanics

Stepwise inverse consistent euler’s scheme for diffeomorphic image registration

A Pai, S Sommer, S Darkner, L Sørensen, J Sporring, M Nielsen

International Workshop on Biomedical Image Registration

IC‐P‐131: WHITE MATTER HYPOINTENSITY GROWTH RATE CORRELATES WITH RATE OF BRAIN ATROPHY

A Pai, L Sørensen, S Darkner, J Sporring, E Rostrup, M Nielsen

Alzheimer's & Dementia 10, P75-P76

Estimating the thickness of ultra thin sections for electron microscopy by image statistics

J Sporring, M Khanmohammadi, S Darkner, N Nava, JR Nyengaard, ...

2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)

Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer

DR Arbonès, HG Jensen, A Loft, PM af Rosenschöld, AE Hansen, C Igel, ...

Medical Imaging 2014: Image Processing

Civile Droner i Danmark: Kortlægning og teknologivurdering

A Lygum, JS Nielsen, NB Bådum, A la Cour-Harbo, JP Hansen, ...

Teknologi Rådet

Civile droner i Danmark: Potentialer, udfordringer og anbefalinger

AKS Lygum, JS Nielsen, NB Bådum, A la Cour-Harbo, JP Hansen, ...

Teknologirådet

Active learning with support vector machines

J Kremer, K Steenstrup Pedersen, C Igel

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (4 …

Erratum to: Interesting Interest Points

H Aanæs, AL Dahl, KS Pedersen

International Journal of Computer Vision

Learning cost function and trajectory for robotic writing motion

H Yin, A Paiva, A Billard

2014 IEEE-RAS International Conference on Humanoid Robots

Learning object-level impedance control for robust grasping and dexterous manipulation

M Li, H Yin, K Tahara, A Billard

2014 IEEE International Conference on Robotics and Automation (ICRA)

Easyworm: an open-source software tool to determine the mechanical properties of worm-like chains

G Lamour, JB Kirkegaard, H Li, TPJ Knowles, J Gsponer

Source code for biology and medicine

Differences in nucleation behavior underlie the contrasting aggregation kinetics of the Aβ40 and Aβ42 peptides

G Meisl, X Yang, E Hellstrand, B Frohm, JB Kirkegaard, SIA Cohen, ...

Proceedings of the National Academy of Sciences

a.; Dobson, CM; Linse, S.; Knowles

G Meisl, X Yang, E Hellstrand, B Frohm, JB Kirkegaard, SI Cohen

TPJ

Theories of Active Matter with Applications to Endothelial Cell Motility

JB Kirkegaard

Niels Bohr Institute, Copenhagen University

Non-Parametric Bayesian Modeling of Complex Networks using a Bernoulli-Poisson Model

TN Nielsen, M Nørgaard

Dynamics of Complex Topological Excitable Networks: Parallel Computing on Graphical Processing Units

M Nørgaard, AN Olesen, AG Gonzalez

Real-Time Automatic Detection of Childhood Epilepsy Seizures on an Android Device

M Nørgaard, JS Møller, AG Gonzalez

Segmentation of vertebrae from 3D spine images by applying concepts from transportation and game theories

B Ibragimov, B Likar, F Pernuš, T Vrtovec

Computational Methods and Clinical Applications for Spine Imaging …

Automatic cephalometric X-ray landmark detection by applying game theory and random forests

B Ibragimov, B Likar, F Pernus, T Vrtovec

Proc. ISBI Int. Symp. on Biomedical Imaging

Shape representation for efficient landmark-based segmentation in 3-D

B Ibragimov, B Likar, F Pernuš, T Vrtovec

IEEE transactions on medical imaging

Segmentation of Medical Images by Game-theoretic Approaches: PhD Thesis

B Ibragimov

B. Ibragimov

Approximate false positive rate control in selection frequency for random forest

E Konukoglu, M Ganz

arXiv preprint arXiv:1410.2838

2013

RPI-MATLAB-Simulator: A Tool for Efficient Research and Practical Teaching in Multibody Dynamics.

J Williams, Y Lu, S Niebe, M Andersen, K Erleben, JC Trinkle

VRIPHYS

Multiphase flow of immiscible fluids on unstructured moving meshes

MK Misztal, K Erleben, A Bargteil, J Fursund, BB Christensen, ...

IEEE transactions on visualization and computer graphics

IC‐P‐059: Localized cerebral atrophy acceleration during Alzheimer's disease

A Pai, L Sorensen, S Darkner, M Lillholm, EB Dam, J Sporring, M Nielsen

Alzheimer's & Dementia 9, P36-P37

Cube propagation for focal brain atrophy estimation

A Pai, L Sørensen, S Darkner, P Mysling, D Jørgensen, EB Dam, ...

2013 IEEE 10th International Symposium on Biomedical Imaging

Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach

P Mysling, S Darkner, J Sporring, E Dam, M Lillholm

Medical Imaging 2013: Image Processing

Hippocampal Texture Predicts One-Year Hippocampal Atrophy in Mild Cognitively Impaired Subjects

L Sørensen, A Pai, P Mysling, S Darkner, G Chen, J Oh, J Suhy, C Igel, ...

European Congress of Radiology-ECR

Nearest neighbour regression outperforms model-based prediction of specific star formation rate

K Stensbo-Smidt, C Igel, A Zirm, KS Pedersen

2013 IEEE international conference on big data

Unscented Kalman filtering on Riemannian manifolds

S Hauberg, F Lauze, KS Pedersen

Journal of mathematical imaging and vision

Shape index descriptors applied to texture-based galaxy analysis

KS Pedersen, K Stensbo-Smidt, A Zirm, C Igel

Proceedings of the IEEE International Conference on Computer Vision

Statistical shape representation with landmark clustering by solving the assignment problem

B Ibragimov, B Likar, F Pernuš, T Vrtovec

Medical Imaging 2013: Image Processing

An improved optimization method for the relevance voxel machine

M Ganz, MR Sabuncu, K Van Leemput

International Workshop on Machine Learning in Medical Imaging

The improved relevance voxel machine

M Ganz, M Sabuncu, K Van Leemput

Technical University of Denmark

On Feature Relevance in Image-based Prediction Models: An Empirical Study

E Konukoglu, M Ganz, K van Leemput, MR Sabuncu

4th International Workshop for Machine Learning in Medical Imaging in …

2012

A joint-constraint model for human joints using signed distance-fields

M Engell-Nørregård, S Niebe, K Erleben

Multibody System Dynamics

Locally orderless registration

S Darkner, J Sporring

IEEE transactions on pattern analysis and machine intelligence

Jet-based local image descriptors

ABL Larsen, S Darkner, AL Dahl, KS Pedersen

European Conference on Computer Vision

Spatial measures between human poses for classification and understanding

S Hauberg, K Steenstrup Pedersen

International Conference on Articulated Motion and Deformable Objects

Natural metrics and least-committed priors for articulated tracking

S Hauberg, S Sommer, KS Pedersen

Image and Vision Computing 30 (6-7)

HUMIM Software for Articulated Tracking

S Hauberg, KS Pedersen

Technical report, DIKU, University of Copenhagen

Interesting interest points–a survey of interest point performance on a unique data set

H Aanæs, AL Dahl, KS Pedersen

International Journal of Computer Vision 97 (1), 18--35

Modelling electrolyte conductivity in a water electrolyzer cell

M Caspersen, JB Kirkegaard

International journal of hydrogen energy

A game-theoretic framework for landmark-based image segmentation

B Ibragimov, B Likar, F Pernus

IEEE Transactions on Medical Imaging

Automated measurement of anterior and posterior acetabular sector angles

B Ibragimov, B Likar, F Pernuš, T Vrtovec

Medical Imaging 2012: Computer-Aided Diagnosis

Automatic segmentation of polyps in colonoscopic narrow-band imaging data

M Ganz, X Yang, G Slabaugh

IEEE Transactions on Biomedical Engineering

Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women

M Ganz, M De Bruijne, EB Dam, P Pettersen, MA Karsdal, C Christiansen, ...

International Journal of Biomedical Imaging

Evaluation of bias in brain atrophy estimation

A Pai, S Darkner, L Sørensen, L Lillemark, P Mysling, J Sporring, EB Dam, ...

NIBAD'12

Data driven constraints for the svm

S Darkner, LH Clemmensen

International Workshop on Machine Learning in Medical Imaging

IC‐P‐013: Hippocampal texture provides volume independent information for Alzheimer's diagnosis

A Pai, L Sørensen, S Darkner, J Suhy, J Oh, G Chen, C Igel, M Nielsen

Alzheimer's & Dementia 8 (4S_Part_1), P15-P15

In the July 2012 abstract issue of Alzheimer’s & Dementia (Volume 8, Issue 4, Supplement 2), the following errors were found: The order of authors in IC-P-013 and P1-157 …

A Pai, S Darkner, J Suhy, J Oh, G Chen, C Igel, M Nielsen, ...

Alzheimer’s & Dementia

2011

Time adaptive approximate SPH

P Goswami, R Pajarola, J Bender, K Erleben, E Galin

Workshop on Virtual Reality Interaction and Physical Simulation VRIPHYS

Mathematical foundation of the optimization-based fluid animation method

K Erleben, MK Misztal, JA Bærentzen

Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer …

A hyper elasticity method for interactive virtual design of hearing aids: A parallel method for general non-linear hyper elasticity modeling

S Darkner, K Erleben

The Visual Computer

A projected back-tracking line-search for constrained interactive inverse kinematics

M Engell-Nørregård, K Erleben

Computers & Graphics

Interactive Rigid Body Contact Force Problems

K Erleben

Predicting articulated human motion from spatial processes

S Hauberg, KS Pedersen

International Journal of Computer Vision

Data-driven importance distributions for articulated tracking

S Hauberg, KS Pedersen

International Workshop on Energy Minimization Methods in Computer Vision and …

An empirical study on the performance of spectral manifold learning techniques

P Mysling, S Hauberg, KS Pedersen

International Conference on Artificial Neural Networks

Unscented kalman filtering for articulated human tracking

ABL Larsen, S Hauberg, KS Pedersen

Scandinavian conference on Image analysis

Finding the best feature detector-descriptor combination

AL Dahl, H Aanæs, KS Pedersen

2011 international conference on 3d imaging, modeling, processing …

Segmentation of lung fields by game theory and dynamic programming

B Ibragimov, T Vrtovec, B Likar, F Pernuš

the 4th International Workshop on Pulmonary Image Analysis, PIA

Boundary detection by linear programming with application to lung fields segmentation

B Ibragimov, B Likar, F Pernuš

Medical Imaging 2011: Image Processing

Abdominal aortic calcification quantified by the Morphological Atherosclerotic Calcification Distribution (MACD) index is associated with features of the metabolic syndrome

N Barascuk, M Ganz, M Nielsen, TC Register, LM Rasmussen, ...

BMC cardiovascular disorders

A bayesian framework for automated cardiovascular risk scoring on standard lumbar radiographs

K Petersen, M Ganz, P Mysling, M Nielsen, L Lillemark, A Crimi, ...

IEEE Transactions on Medical Imaging

Detection and Analysis of Calcified Deposits and Their Relation to Cardiovascular Diseases

M Ganz

https://di.ku.dk/english/research/phd/phd-theses/2011 …

Higher-Order Momentum Distributions and Locally Affine LDDMM Registration

S Sommer, M Nielsen, S Darkner, X Pennec

arXiv preprint arXiv:1112.3166

Generalized partial volume: An inferior density estimator to parzen windows for normalized mutual information

S Darkner, J Sporring

Biennial International Conference on Information Processing in Medical …

Efficient hyperelastic regularization for registration

S Darkner, MS Hansen, R Larsen, MF Hansen

Scandinavian Conference on Image Analysis

Jacobians for Lebesgue Registrations for a range of Sim ilarity Measures

J Sporring, S Darkner

Department of Computer Science, University of Copenhagen

The cartilage bone junction and its implication for deep canal hearing instrument fittings

C Nielsen, S Darkner

The Hearing Journal

2010

Optimization-based Fluid Simulation on Unstructured Meshes.

MK Misztal, R Bridson, K Erleben, JA Bærentzen, F Anton

VRIPHYS

GPU accelerated likelihoods for stereo-based articulated tracking

RM Friborg, S Hauberg, K Erleben

European Conference on Computer Vision

A Parallel Gauss-Seidel Method for Computing Contact Forces

M Poulsen, K ERLEBEN

Master Thesis

Local jointlimits using distance field cones in euler angle space

M Engell-Nørregård, S Niebe, K Erleben

Computer graphics international

A nonsmooth nonlinear conjugate gradient method for interactive contact force problems

M Silcowitz-Hansen, S Niebe, K Erleben

The Visual Computer

Photon differentials in space and time

L Schjøth, JR Frisvad, K Erleben, J Sporring

International Conference on Computer Vision, Imaging and Computer Graphics …

Temporal photon differentials

L Schjøth, JR Frisvad, K Erleben, J Sporring

International Conference on Computer Graphics Theory and Applications

A nonlinear vertex-based model for animation of two-dimensional dry foam

M Kelager, K Erleben

International Conference on Computer Graphics Theory and Applications

Den digitale revolution: fortællinger fra datalogiens verden

P Naur, B Vinter, K Hansen, TÆ Mogensen, K Erleben, D Pisinger, ...

University of Copenhagen

Projected gauss-seidel subspace minimization method for interactive rigid body dynamics

M Silcowitz, S Niebe, K Erleben

GRAPP’10: Proceedings of the Fifth International Conference on Computer …

Normal and Friction Stabilization Techniques for Interactive Rigid Body Constraint-based Contact Force Computations.

M Silcowitz, S Niebe, K Erleben

VRIPHYS

A Triangle Bending Constraint Model for Position-Based Dynamics.

M Kelager, S Niebe, K Erleben

Vriphys

Heuristic convergence rate improvements of the projected Gauss–Seidel method for frictional contact problems

M Poulsen

Vaclav Skala-Union Agency

Stick it! articulated tracking using spatial rigid object priors

S Hauberg, KS Pedersen

Asian Conference on Computer Vision

Gaussian-like spatial priors for articulated tracking

S Hauberg, S Sommer, KS Pedersen

European Conference on Computer Vision

On recall rate of interest point detectors

H Aanæs, AL Dahl, KS Pedersen

5th International Symposium on 3D Data Processing, Visualization and …

Optics based motion measurement for a catheter navigation system: A novel and low cost approach

Y Yan, D Chen, H Yin

International Conference on Intelligent Robotics and Applications

Design of a humanoid robot simulation platform based on MRDS

H Yin, YH Yan

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 44 …

Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women

M Nielsen, M Ganz, F Lauze, PC Pettersen, M de Bruijne, TB Clarkson, ...

BMC cardiovascular disorders

Growth patterns of abdominal atherosclerotic calcified deposits from lumbar lateral X-rays

L Lillemark, M Ganz, N Barascuk, EB Dam, M Nielsen

The international journal of cardiovascular imaging

Patch-based generative shape model and mdl model selection for statistical analysis of archipelagos

M Ganz, M Nielsen, S Brandt

International Workshop on Machine Learning in Medical Imaging

MACD: an imaging marker for cardiovascular disease

M Ganz, M De Bruijne, M Nielsen

Medical Imaging 2010: Computer-Aided Diagnosis

Registration-based interpolation applied to cardiac MRI

H Ólafsdóttir, H Pedersen, MS Hansen, M Lyksborg, MF Hansen, ...

Medical Imaging 2010: Image Processing

Local Segmentation by Large Scale Hypothesis Testing: Segmentation as outlier detection

S Darkner, AL Dahl, R Larsen, A Skimmige, E Garde, G Waldemar

5th International Conference on Computer Vision Theory and Applications

Active illumination and appearance model for face alignment

M GÖKMEN, F KAHRAMAN, S Darkner, R Larsen

Turkish Journal of Electrical Engineering and Computer Sciences

2009

Tetrahedral mesh improvement using multi-face retriangulation

MK Misztal, JA Bærentzen, F Anton, K Erleben

Proceedings of the 18th international meshing roundtable

Spatial and Temporal Ray Diffenrentials

J Sporring, L Schjøth, K Erleben

Department of Computer Science, University of Copenhagen

Three dimensional monocular human motion analysis in end-effector space

S Hauberg, J Lapuyade, M Engell-Nørregård, K Erleben, ...

International Workshop on Energy Minimization Methods in Computer Vision and …

On the rate of structural change in scale spaces

D Gustavsson, KS Pedersen, F Lauze, M Nielsen

International Conference on Scale Space and Variational Methods in Computer …

On Texture and Geometry in Image Analysis

D Gustavsson, M Nielsen, KS Pedersen

A SVD Based Image Complexity Measure

DKJ Gustafsson, KS Pedersen, M Nielsen

International Conference on Computer Vision Theory and Applications (VISAPP …

Interactive Inverse Kinematics for Human Motion Estimation

M Engell-Nørregård, S Hauberg, J Lapuyade, K Erleben, KS Pedersen

Workshop on Virtual Reality Interaction and Physical Simulation VRIPHYS …

Planning and control of biped walking along curved paths on unknown and uneven terrain

GQ Zhang, M Xie, H Yin, L Wang, HJ Yang

International Conference on Intelligent Robotics and Applications

Lactic acid bacteria associated with a heat‐processed pork product and sources of variation affecting chemical indices of spoilage and sensory characteristics

BG Laursen, DV Byrne, JB Kirkegaard, JJ Leisner

Journal of Applied Microbiology

Maximal independent set graph partitions for representations of body-centered cubic lattices

K Erleben

The Visual Computer

Smoke simulation for fire engineering using a multigrid method on graphics hardware

SL Glimberg, K Erleben, JC Bennetsen

6th Workshop on Virtual Reality Interactions and Physical Simulations

GPU Accelerated Tandem Traversal of Blocked Bounding Volume Hierarchy Collision Detection for Multibody Dynamics.

J Damkjær, K Erleben

VRIPHYS

Interactive Inverse Kinematics for Human Motion Estimation.

M Engell-Nørregård, S Hauberg, J Lapuyade, K Erleben, KS Pedersen

VRIPHYS

A projected non-linear conjugate gradient method for interactive inverse kinematics

M Engell-Nørregård, K Erleben

MATHMOD 2009-6th Vienna International Conference on Mathematical Modelling

Estimation of Joint types and Joint Limits from Motion capture data

M Engell-Nørregård

Václav Skala-UNION Agency

Nonsmooth newton method for fischer function reformulation of contact force problems for interactive rigid body simulation

M Silcowitz, S Niebe, K Erleben

Workshop in Virtual Reality Interactions and Physical Simulation

BMD prediction of death is encapsulated by the Morphological Atherosclerosis Calcification Distribution (MACD) index

M Ganz, M Nielsen, M Karsdal, C Christiansen

36th European Symposium on Calcified Tissues, Vienna, Austria 44, S265

Dense iterative contextual pixel classification using kriging

M Ganz, M Loog, S Brandt, M Nielsen

2009 IEEE Computer Society Conference on Computer Vision and Pattern …

Growth analysis of individual abdominal atherosclerotic calcified deposits

LL Larsen, M Ganz, M Nielsen

36th European Symposium on Calcified Tissues (ECTS)

Predictive Modelling of Cardiac 2D Multi-Slice MRI with Simultaneous Resolution of Cardiac and Respiratory Motion

H Pedersen, H Ólafsdóttir, S Darkner, M Lyksborg, R Larsen

CI2BM09-MICCAI Workshop on Cardiovascular Interventional Imaging and …

Shape and Deformation Analysis of the Human Ear Canal

S Darkner

Technical University of Denmark, DTU Informatics, Building

2008

Special issue on tribute workshop for Peter Johansen

M Nielsen, M de Bruijne, C Jørgensen, SI Olsen, KS Pedersen, J Sporring

Journal of Mathematical Imaging and Vision

Field of particle filters for image inpainting

A Cuzol, KS Pedersen, M Nielsen

Journal of Mathematical Imaging and Vision

Second order structure of scale-space measurements

B Markussen, KS Pedersen, M Loog

Journal of Mathematical Imaging and Vision

Multi-Scale Natural Images: A database and some statistics

DKJ Gustafsson, KS Pedersen, M Nielsen

Proceedings of 16'th Danish Conference on Pattern Recognition and Image …

Tribute Workshop for Peter Johansen

M Nielsen, M de Bruijne, CH Jørgensen, SI Olsen, KS Pedersen, ...

Springer

A Non‐smooth Newton Method for Multibody Dynamics

K Erleben, R Ortiz

AIP Conference Proceedings

Guessing tangents in normal flows

B Markussen, J Sporring, K Erleben

Journal of Mathematical Imaging and Vision

Volumetric Shells using Path Tracing

K Erleben

Signed distance fields using single-pass gpu scan conversion of tetrahedra

K Erleben, H Dohlmann

Gpu Gems

Automated Quantification of the Morphological Atherosclerotic Calcification Distribution on X-Rays Is a Strong Predictor of Mortality in Postmenopausal Women

C Christiansen, M Karsdal, FB Lauze, E Dam, M Ganz, M de Bruijne, ...

Arteriosclerosis, Thrombosis, and Vascular Biology

Superior assessment of CVD death by MACD index compared with the framingham score is highly associated with predisposition to diabetes

E Soltyskinska, N Barascuk, M Ganz, M Nielsen, M Karsdal, ...

Keystone Symposia, nr. S2

Morphological Atherosclerosis Calcification Distribution (MACD) Index is a Strong Predictor of Cardio-Vascular Death and Include Predictive Power of BMD

C Christiansen, M Karsdal, M Ganz, E Dam, M Nielsen

30th ASBMR Annual Meeting

Growth Pattern of Atherosclerotic Calcifications

LL Larsen, M Ganz, E Dam, N Dandu, M Nielsen

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2th …

Analysis of surfaces using constrained regression models

S Darkner, MR Sabuncu, P Golland, RR Paulsen, R Larsen

International Conference on Medical Image Computing and Computer-Assisted …

Estimation of shape model parameters for 3D surfaces

SGH Erbou, S Darkner, J Fripp, S Ourselin, BK Ersboll

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …

Robust registration for change detection

S Darkner, DW Hansen, RR Paulsen, R Larsen

Medical Imaging 2008: Image Processing

Non-rigid registration of 2D manifolds in 3D Euclidian space

S Darkner, M Vester-Christensen, RR Paulsen, R Larsen

Medical Imaging 2008: Image Processing

Robust registration for change detection [6914-101]

S Darkner, DW Hansen, RR Paulsen, R Larsen

PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 6914 (2 …

Non-rigid registration of 2D manifolds in 3D Euclidian space [6914-99]

S Darkner, M Vester-Christensen, RR Paulsen, R Larsen

PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 6914 (2 …

2007

A curious robot: an explorative-exploitive inference algorithm

KS Pedersen, P Johansen

ROBOMAT

Proceedings of the 15th Scandinavian conference on Image analysis

KB Ersbøll, KS Pedersen

Springer-Verlag

Image inpainting by cooling and heating

D Gustavsson, KS Pedersen, M Nielsen

Scandinavian Conference on Image Analysis

Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-24, 2007, Proceedings

BK Ersbøll

Springer Science & Business Media

Image Analysis: 15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007 00

KS Pedersen

Springer-Verlag Berlin Heidelberg

Salient point and scale detection by minimum likelihood

KS Pedersen, M Loog, P van Dorst

JMLR: Workshop and Conference Proceedings: Gaussian Processes in Practice, 1 …

Generic maximum likely scale selection

K Pedersen, M Loog, B Markussen

1st International Conference on Scale Space and Variational Methods in …

Geometric and texture inpainting by Gibbs sampling

DKJ Gustafsson, KS Pedersen, M Nielsen

Swedish Symposium on Image Analysis (SSBA '07)

Photon differentials

L Schjøth, JR Frisvad, K Erleben, J Sporring

Proceedings of the 5th international conference on Computer graphics and …

Line-stepping for shell meshes

K Erleben, J Sporring

Scandinavian Conference on Image Analysis

Boneless pose editing and animation

JA Bærentzen, KE Hansen, K Erleben

Scandinavian Conference on Image Analysis

Velocity-based shock propagation for multibody dynamics animation

K Erleben

ACM Transactions on Graphics (TOG) 26 (2), 12-es

Top Quark Physics Beyond The Standard Model

M Ganz

University of Karlsruhe, Germany

Analysis of deformation of the human ear and canal caused by mandibular movement

S Darkner, R Larsen, RR Paulsen

International Conference on Medical Image Computing and Computer-Assisted …

An active illumination and appearance (AIA) model for face alignment

F Kahraman, M Gokmen, S Darkner, R Larsen

2007 IEEE Conference on Computer Vision and Pattern Recognition

Texture enhanced appearance models

R Larsen, MB Stegmann, S Darkner, S Forchhammer, TF Cootes, ...

Computer Vision and Image Understanding

Evaluating a method for automated rigid registration

S Darkner, M Vester-Christensen, R Larsen, RR Paulsen

Medical Imaging 2007: Image Processing

Accelerated 3D image registration

M Vester-Christensen, SG Erbou, S Darkner, R Larsen

Medical Imaging 2007: Image Processing

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