NR Avlona, S de Boer, VM Campello, A Feragen, E Ferrante, M Ganz, ...: In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review, , 2025.
T Alscher, J Petersen, F Lauze, K Erleben, S Darkner: Collision Constraints & Diffeomorphisms: Dealing with Physics in Deformable Image Registration, IEEE Access, 2025.
L Khaertdinova, T Shmykova, I Pershin, A Laryukov, A Khanov, ...: Gaze assistance for efficient segmentation correction of medical images, IEEE Access, 2025.
M Finocchiaro, R Stern, AG Smith, J Petersen, K Erleben, M Ganz: HQColon: A Hybrid Interactive Machine Learning Pipeline for High Quality Colon Labeling and Segmentation, arXiv preprint arXiv:2502.21183, 2025.
Y Duan, H Yin, D Kragic: Real-time Iteration Scheme for Diffusion Policy, arXiv preprint arXiv:2508.05396, 2025.
B Ozenne, V Dam, M Ganz, E Beaman, K Köhler-Forsberg, C Ip, ...: 128. Predicting Antidepressant Treatment Outcome in Major Depressive Disorder Using Multi-Domain Data: A Neuropharm Study, Biological Psychiatry 97 (9), S148, 2025.
P Xu, S Darkner, O Sosnovtseva, NH Holstein-Rathlou: Toward a full-scale model of renal hemodynamics using a reconstructed vascular tree, American Journal of Physiology-Renal Physiology 328 (5), F702-F723, 2025.
D Lvov, I Stebakov, A Kornaev, I Pershin, T Mustafaev, D Afonchikov, ...: Uncertainty Estimation in Cardio Landmark Detection and Heart Disease Diagnosis on Chest X-Ray Images, IEEE Access, 2025.
LM Pehrson, D Li, A Mayar, M Fraccaro, R Bonnevie, PJ Sørensen, ...: Clinicians’ Agreement on Extrapulmonary Radiographic Findings in Chest X-Rays Using a Diagnostic Labelling Scheme, Diagnostics 15 (7), 902, 2025.
R Woodham, W Xiao, Y Cui, J Wen, M Antoniades, D Srinivasan, Y Fan, ...: Neuroanatomical dimensions in major depression: external validation and links with cognition, adverse life events, self-harm, metabolomics and genetics, , 2025.
BL Møller, S Amiri, C Igel, KK Wickstrøm, R Jenssen, M Keicher, ...: NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks, Northern Lights Deep Learning Conference 2025, 2025.
LM Pehrson, J Petersen, NS Panduro, CA Lauridsen, JF Carlsen, ...: AI-Guided Delineation of Gross Tumor Volume for Body Tumors: A Systematic Review, Diagnostics 15 (7), 846, 2025.
D Koc, M Nørgaard, M Ganz, R Muetzel, H El Marroun, H Tiemeier, ...: Associations of serotonin-related brain morphology in early adolescence with behavioral and emotional problems, NeuroImage: Clinical, 103851, 2025.
ECL Leschly, O Roesler, M Neumann, J Liscombe, A Hosamath, L Arbatti, ...: An Exploration of Interpretable Deep Learning Models for the Assessment of Mild Cognitive Impairment, Proc. Interspeech 2025, 271-275, 2025.
A Anikina, D Ibragimova, T Mustafaev, C Mello-Thoms, B Ibragimov: Prediction of radiological decision errors from longitudinal analysis of gaze and image features, Artificial intelligence in medicine 160, 103051, 2025.
J Lu, C Yin, S Ingala, K Erleben, MB Nielsen, S Darkner: MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis, arXiv preprint arXiv:2504.19357, 2025.
H Kaas, M Prener, M Ganz, GM Knudsen, LH Pinborg, V Beliveau: Independent Evaluation of Deep Learning Models for Detecting Focal Cortical Dysplasia, medRxiv.04. 06.25325315, 2025.
OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen: A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process, arXiv preprint arXiv:2504.16658, 2025.
R Hunt, KS Pedersen: The Phantom of the Elytra--Phylogenetic Trait Extraction from Images of Rove Beetles Using Deep Learning--Is the Mask Enough?, arXiv preprint arXiv:2502.04541, 2025.
M Rocca, S Darkner, K Erleben, S Andrews: Policy-Space Diffusion for Physics-Based Character Animation, ACM Transactions on Graphics 44 (3), 1-18, 2025.
CJM Offersen, J Johansen, AH Brandt, TC Truelsen, S Darkner, A Pai, ...: Evaluation of a volume and intensity-based FLAIR algorithm developed to assist in DWI-FLAIR mismatch assessment in wake-up stroke, European Journal of Radiology Artificial Intelligence, 100037, 2025.
E Yousefzadeh-Asl-Miandoab, R Karimzadeh, B Ibragimov, FM Ciorba, ...: CARMA: Collocation-Aware Resource Manager with GPU Memory Estimator, arXiv preprint arXiv:2508.19073, 2025.
P Delgado-Rodriguez, I Vitoria, GR Ríos-Muñoz, L Bardia, ...: In-depth 3D Exploration of Autosomal Dominant Polycystic Kidney Disease Through Light Sheet Fluorescence Microscopy, bioRxiv.03. 18.644002, 2025.
T Mustafaev, C Mello-Thoms, B Ibragimov: Prediction of Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and Gaze-Guided Transformers, Graphs in Biomedical Image Analysis: 6th International Workshop, GRAIL 2024 …, 2025.
KHR Jensen, VH Dam, K Köhler-Forsberg, B Ozenne, DS Stenbæk, ...: Changes in hippocampal volume, 5-HT4 receptor binding, and verbal memory over the course of antidepressant treatment in major depressive disorder, Journal of Psychiatric Research 181, 197-205, 2025.
Y Liu, P Kry, K Erleben, N Aigerman, S Darkner, T Schneider: Neural Kinematic Bases for Fluids, arXiv preprint arXiv:2504.15657, 2025.
C Eierud, M Norgaard, M Bilgel, H Petropoulos, Z Fu, A Iraji, GJ Matheson, ...: Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework, bioRxiv, 2025.
B Ozenne, M Nørgaard, C Pernet, M Ganz: A sensitivity analysis of preprocessing pipelines: Toward a solution for multiverse analyses, Imaging Neuroscience 3, imag_a_00523, 2025.
T Dascalu, S Ramezanzade, A Bakhshandeh, L Bjørndal, R Iurcov, ...: DentAssignNet: Assignment Network for Dental Cast Labeling in the Presence of Dental Abnormalities, IEEE Journal of Biomedical and Health Informatics, 2025.
K Kelat, SE Gerard, B Ibragimov, C Mello-Thoms: The relationship between eye tracking features and transfer learning in modeling decision prediction of radiologists reading mammograms, Medical Imaging 2025: Image Perception, Observer Performance, and Technology …, 2025.
B Lo, B Møller, C Igel, S Wildt, I Vind, F Bendtsen, J Burisch, B Ibragimov: Improving the Real-time Classification of Disease Severity in Ulcerative Colitis: Artificial Intelligence as the Trigger for a Second Opinion, Official journal of the American College of Gastroenterology| ACG, 10.14309, 2025.
W Xiao, RD Woodham, M Antoniades, D Srinivasan, Y Fan, G Erus, ...: Neurophysiological correlates of neuroanatomical dimensions in major depressive disorder: EEG markers of brain function and treatment outcome, , 2025.
M Rocca, S Andrews, K Erleben: Policy-space Interpolation for Physics-based Characters, Proceedings of the ACM on Computer Graphics and Interactive Techniques 8 (4 …, 2025.
A Jiménez-Sánchez, NR Avlona, S de Boer, VM Campello, A Feragen, ...: In the picture: Medical imaging datasets, artifacts, and their living review, Proceedings of the 2025 ACM Conference on Fairness, Accountability, and …, 2025.
H Dadgar, X Hong, R Karimzadeh, B Ibragimov, J Majidpour, H Arabi, ...: The value of artificial intelligence in PSMA PET: a pathway to improved efficiency and results, The quarterly journal of nuclear medicine and molecular imaging: official …, 2025.
RP Dörfel, B Ozenne, M Ganz, ...: Prediction of brain age using structural magnetic resonance imaging: A comparison of clinical validity of publicly available software packages, medRxiv.03. 13.25323902, 2025.
OCG Engstrøm, M Albano-Gaglio, ES Dreier, Y Bouzembrak, ...: Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach, arXiv preprint arXiv:2504.14131, 2025.
R Hunt, JL Reyes-Hernández, JJ Shaw, A Solodovnikov, KS Pedersen: Integrating Deep Learning Derived Morphological Traits and Molecular Data for Total-Evidence Phylogenetics: Lessons from Digitized Collections, Systematic Biology 74 (3), 453-468, 2025.
HA Olson, MC Camacho, G Abdurokhmonova, S Ahmad, EM Chen, ...: Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment, Developmental cognitive neuroscience 73, 101539, 2025.
R Liu, F Lauze, EJ Bekkers, S Darkner, K Erleben: SE(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentation, Frontiers in Artificial Intelligence 8, 1369717, 2025.
A Tashk, KM Sørensen, SB Engelsen, KS Pedersen, CE Eskildsen: MIPLS2: Exploiting PLS2 to impute missing values in a two-block system with multiple response variables, Analytica Chimica Acta 1364, 344134, 2025.
E Marchetto, H Eichhorn, D Gallichan, JA Schnabel, M Ganz: Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts, Magnetic Resonance Materials in Physics, Biology and Medicine, 1-12, 2025.
A Reichlin, M Vasco, H Yin, D Kragic: Goal-Conditioned Offline Reinforcement Learning via Metric Learning, CoRR, 2024.
A Bjerregaard, D Schumacher, J Sporring: Attenuation-adjusted deep learning of pore defects in 2D radiographs of additive manufacturing powders, arXiv preprint arXiv:2408.02427, 2024.
S Hasselholt, HJT Stephensen, D Janssen, AH Andersen, A Dubois, ...: Investigating the Role of ADGRV1 in ALS Using a Novel Mouse Model, , 2024.
RP Dörfel, JM Arenas-Gomez, C Svarer, M Ganz, GM Knudsen, ...: Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features, GeroScience 46 (5), 4123-4133, 2024.
A Reichlin, M Vasco, H Yin, D Kragic: Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning, arXiv preprint arXiv:2402.10820, 2024.
M Daugaard, E Riis-Jacobsen, H Yin, K Erleben, M Ganz: Simulating Head Motion in MRI: A Silicone Phantom Approach with Machine Learning Integration, ISMRM Workshop on Motion Correction in MR 2024, 2024.
J Sporring, KF Larsen: Statistical investigations into the geometry and homology of random programs, arXiv preprint arXiv:2407.04854, 2024.
L Korsgaard, EKW Nielsen, H Lundell, K Kettless, CG Madsen, ...: NeuroImaging of Babies during natural Sleep to assess typical development and Cerebral Palsy (NIBS-CP), Fetal, Infant, & Toddler Neuroimaging Group Annual Conference 2024, 2024.
C Wang, L Østergaard, S Hasselholt, J Sporring: A semi-automatic method for extracting mitochondrial cristae characteristics from 3D focused ion beam scanning electron microscopy data, Communications Biology 7 (1), 377, 2024.
N Forbes, C Terrones-Campos, AG Smith, J Reekie, S Darkner, ...: Cardiac dose-volume analysis of 9,411 patients with registry data for cardiovascular disease and overall survival, medRxiv.08. 16.24312108, 2024.
B Møller, C Igel, KK Wickstrøm, J Sporring, R Jenssen, B Ibragimov: Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks, PMLR, 2024.
EMC Huijben, ML Terpstra, S Pai, A Thummerer, P Koopmans, M Afonso, ...: Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report, Medical image analysis 97, 103276, 2024.
EGS Brandt, CF Müller, H Thomsen, AB Rodell, B Ibragimov, ...: Imaging the pancreas with photon-counting CT–A review of normal pancreatic anatomy, European Journal of Radiology 181, 111736, 2024.
OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen: Ikpls: improved kernel partial least squares and fast cross-validation algorithms for python with cpu and gpu implementations using numpy and jax, Journal of Open Source Software 9 (99), 6533, 2024.
V Beliveau, H Kaas, M Prener, CN Ladefoged, D Elliott, GM Knudsen, ...: Classification of radiological text in small and imbalanced datasets in a non-english language, arXiv preprint arXiv:2409.20147, 2024.
J Sporring, P Xu, J Lu, F Lauze, S Darkner: Locally orderless networks, arXiv preprint arXiv:2406.13514, 2024.
L Martin, P Jain, Z Ferguson, T Gholamalizadeh, F Moshfeghifar, ...: A systematic comparison between FEBio and PolyFEM for biomechanical systems, Computer methods and programs in biomedicine 244, 107938, 2024.
A Longhini, Y Wang, I Garcia-Camacho, D Blanco-Mulero, M Moletta, ...: Unfolding the literature: A review of robotic cloth manipulation, Annual Review of Control, Robotics, and Autonomous Systems 8, 2024.
S Amiri, T Vrtovec, T Mustafaev, CL Deufel, HS Thomsen, MH Sillesen, ...: Reinforcement learning‐based anatomical maps for pancreas subregion and duct segmentation, Medical physics 51 (10), 7378-7392, 2024.
R Vieira, JN Mariani, NPT Huynh, HJT Stephensen, R Solly, A Tate, ...: Young glial progenitor cells competitively replace aged and diseased human glia in the adult chimeric mouse brain, Nature biotechnology 42 (5), 719-730, 2024.
JF Sheye, HA Georgiev, M Ganz: Head Movement in the Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) Data of the Adolescent Brain Cognitive Development (ABCD) Study, ISMRM Workshop on Motion Correction in MR 2024, 2024.
JB Kirkegaard, NP Kutuzov, R Netterstrøm, S Darkner, M Lauritzen, ...: In vivo deep learning estimation of diffusion coefficients of nanoparticles, International Conference on Medical Image Computing and Computer-Assisted …, 2024.
I Stebakov, A Kornaev, E Kornaeva, N Litvinenko, Y Kazakov, O Ivanov, ...: Artificial neural networks as a natural tool in solution of variational problems in hydrodynamics, IEEE Access, 2024.
N Forbes, C Terrones-Campos, A Smith, J Reekie, S Darkner, M Maraldo, ...: Time trends in cardiac doses in 10,000 patients receiving curative thoracic radiation therapy between 2009 and 2020, medRxiv.02. 18.24303007, 2024.
A Kornaev, I Makovik, E Kornaeva, M Volkov, N Margaryants, E Potapova, ...: Approaching in vivo blood count tests with capillaroscopy and deep learning, , 2024.
C Yin, S Liu, F Lyu, J Lu, S Darkner, VWS Wong, PC Yuen: Xfibrosis: Explicit vessel-fiber modeling for fibrosis staging from liver pathology images, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024.
P Schreiner, R Netterstrøm, H Yin, S Darkner, K Erleben: ADAPT: AI‐Driven Artefact Purging Technique for IMU Based Motion Capture, Computer Graphics Forum 43 (8), e15172, 2024.
W Yin, Y Yu, H Yin, D Kragic, M Björkman: Scalable motion style transfer with constrained diffusion generation, Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10234 …, 2024.
J Sporring: Multiscale and multiresolution analysis, Medical Image Analysis, 177-197, 2024.
BL Møller, BZS Lo, J Burisch, F Bendtsen, I Vind, B Ibragimov, C Igel: Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis, KI-Künstliche Intelligenz 38 (3), 169-176, 2024.
A Kornaev, D Lvov, I Pershin, S Kiselev, D Afonchikov, I Bariev, ...: Automatic calculation of cardiometric coefficients on chest X-ray images, IEEE Access, 2024.
Z Weng, P Zhou, H Yin, A Kravberg, A Varava, D Navarro-Alarcon, ...: Interactive perception for deformable object manipulation, IEEE Robotics and Automation Letters, 2024.
W Yin, X Zhao, Y Yu, H Yin, D Kragic, M Björkman: Lm2d: Lyrics-and music-driven dance synthesis, arXiv preprint arXiv:2403.09407, 2024.
PA Yushkevich, M Zhang, J Sporring: Parametric volumetric registration, Medical Image Analysis, 331-354, 2024.
K Arnavaz, K Erleben: Differentiable Rendering as a Way to Program Cable-Driven Soft Robots, arXiv preprint arXiv:2404.07590, 2024.
A Reichlin, G Tegnér, M Vasco, H Yin, M Björkman, D Kragic: Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks, arXiv preprint arXiv:2410.01476, 2024.
L Khaertdinova, I Pershin, T Shmykova, B Ibragimov: Gaze-assisted medical image segmentation, arXiv preprint arXiv:2410.17920, 2024.
S Amiri, R Karimzadeh, T Vrtovec, E Gudmann Steuble Brandt, ...: Centerline-guided reinforcement learning model for pancreatic duct identifications, Journal of Medical Imaging 11 (6), 064002-064002, 2024.
C Wang, S Hasselholt, J Sporring: 3D Shape Analysis and Bias Correction with Persistent Homology, , 2024.
MB Lindhøj, A Bonnin, K Almstrup, TB Dyrby, R Mokso, J Sporring: A Practical Approach to Estimating the Effect of Synchrotron Radiation on Sperm Motility and Viability, bioRxiv.06. 08.544169, 2023.
K Arnavaz, MK Nielsen, PG Kry, M Macklin, K Erleben: Differentiable depth for real2sim calibration of soft body simulations, Computer Graphics Forum 42 (1), 277-289, 2023.
W Yin, R Tu, H Yin, D Kragic, H Kjellström, M Björkman: Controllable motion synthesis and reconstruction with autoregressive diffusion models, 2023 32nd IEEE International Conference on Robot and Human Interactive …, 2023.
W Yin, H Yin, K Baraka, D Kragic, M Björkman: Dance style transfer with cross-modal transformer, Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023.
MB Lindhøj, SR Cooper, AS Anker, A Bonnin, M Kristensen, K Qvortrup, ...: Iron Oxide Nanoparticles as a Contrast Agent for Synchrotron Imaging of Sperm, arXiv preprint arXiv:2309.03908, 2023.
W Yin, H Yin, K Baraka, D Kragic, M Björkman: Multimodal dance style transfer, Machine Vision and Applications 34 (4), 48, 2023.
R Netterstrøm, N Kutuzov, S Darkner, MJ Pallesen, MJ Lauritzen, ...: Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images, arXiv preprint arXiv:2303.16903, 2023.
J Johansen, CM Offersen, JF Carlsen, S Ingala, AE Hansen, MB Nielsen, ...: An automatic DWI/FLAIR mismatch assessment of stroke patients, Diagnostics 14 (1), 69, 2023.
OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen: Improving deep learning on hyperspectral images of grain by incorporating domain knowledge from chemometrics, Proceedings of the IEEE/CVF International Conference on Computer Vision, 485-494, 2023.
X Hu, F Lauze, KS Pedersen: Refractive pose refinement: Generalising the geometric relation between camera and refractive interface, International Journal of Computer Vision 131 (6), 1448-1476, 2023.
SN Ørting, HJT Stephensen, J Sporring: Morphology on categorical distributions, Journal of Mathematical Imaging and Vision 65 (6), 861-873, 2023.
W Yin, Q Yao, Y Yu, H Yin, D Kragic, M Björkman: Music-and Lyrics-driven Dance Synthesis, arXiv preprint arXiv:2310.00455, 2023.
C Wang, L Østergaard, S Hasselholt, J Sporring: 3D mitochondrial ultrastructure using volume electron microscopy, , 2023.
P Xu, NH Holstein-Rathlou, SB Søgaard, C Gundlach, CM Sørensen, ...: A hybrid approach to full-scale reconstruction of renal arterial network, Scientific Reports 13 (1), 7569, 2023.
P Schreiner, K Erleben, S Darkner: Method and system of global position prediction for imu motion capture, US Patent App. 17/892,009, 2023.
P Xu, T Gholamalizadeh, F Moshfeghifar, S Darkner, K Erleben: Deep-learning-based segmentation of individual tooth and bone with periodontal ligament interface details for simulation purposes, IEEE Access 11, 102460-102470, 2023.
C Wang, L Østergaard, S Hasselholt, J Sporring: Ultrastructure of mitochondria in 3D from volume electron microscopy, Euromit: International meeting on mitochondrial pathology, 2023.
J Lu, C Yin, K Erleben, MB Nielsen, S Darkner: cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023.
P Xu, B Lee, O Sosnovtseva, CM Sørensen, K Erleben, S Darkner: Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptation, Workshop on Medical Image Learning with Limited and Noisy Data, 191-201, 2023.
A Reichlin, GL Marchetti, H Yin, A Varava, D Kragic: Learning Geometric Representations of Objects via Interaction, Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023.
CB Villanueva, HJT Stephensen, R Mokso, A Benraiss, J Sporring, ...: Astrocytic engagement of the corticostriatal synaptic cleft is disrupted in a mouse model of Huntington’s disease, Proceedings of the National Academy of Sciences 120 (24), e2210719120, 2023.
T Alscher, K Erleben, S Darkner: Collision-constrained deformable image registration framework for discontinuity management, Plos one 18 (8), e0290243, 2023.
OCG Engstrøm, ES Dreier, BM Jespersen, KS Pedersen: Analyzing near-infrared hyperspectral imaging for protein content regression and grain variety classification using bulk references and varying grain-to-background ratios, arXiv preprint arXiv:2311.04042, 2023.
J Sporring, S Darkner: An algebra for local histograms, Frontiers in Computer Science 4, 939563, 2022.
M Lippi, P Poklukar, MC Welle, A Varava, H Yin, A Marino, D Kragic: Enabling visual action planning for object manipulation through latent space roadmap, IEEE Transactions on Robotics 39 (1), 57-75, 2022.
R Liu, F Lauze, E Bekkers, K Erleben, S Darkner: Group convolutional neural networks for DWI segmentation, Geometric deep learning in medical image analysis, 96-106, 2022.
R Hunt, KS Pedersen: Rove-tree-11: the not-so-wild rover, a hierarchically structured image dataset for deep metric learning research, Proceedings of the Asian Conference on Computer Vision, 2967-2983, 2022.
H Yin, MC Welle, D Kragic: Embedding Koopman optimal control in robot policy learning, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022.
H Yin, CK Verginis, D Kragic: Consensus-based normalizing-flow control: A case study in learning dual-arm coordination, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022.
ES Dreier, KM Sorensen, T Lund-Hansen, BM Jespersen, KS Pedersen: Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks, Journal of Near Infrared Spectroscopy 30 (3), 107-121, 2022.
S Hasselholt, HJT Stephensen, D Janssen, A Hasselholt, A Dubois, ...: Structural and functional changes in a genetic model of amyotrophic lateral sclerosis, , 2022.
G Tegnér, A Reichlin, H Yin, M Björkman, D Kragic: On the Subspace Structure of Gradient-Based Meta-Learning, arXiv preprint arXiv:2207.03804, 2022.
P Poklukar, M Vasco, H Yin, FS Melo, A Paiva, D Kragic: Geometric multimodal contrastive representation learning, International Conference on Machine Learning, 17782-17800, 2022.
R Liu, F Lauze, K Erleben, RW Berg, S Darkner: Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation, Journal of Medical Imaging 9 (6), 064002-064002, 2022.
A Reichlin, GL Marchetti, H Yin, A Ghadirzadeh, D Kragic: Back to the manifold: Recovering from out-of-distribution states, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022.
X Hu, F Lauze, KS Pedersen, J Mélou: Absolute and relative pose estimation in refractive multi view, Proceedings of the IEEE/CVF international conference on computer vision …, 2021.
OCG Engstrom, ES Dreier, KS Pedersen: Predicting Protein Content in Grain Using Hyperspectral Deep Learning, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …, 2021.
G Karagiannis, S Olsen, K Pedersen: Deep learning for detection of railway signs and signals, Science and Information Conference, 1-15, 2019.
J Rasmussen, J Nielsen, JC Streibig, JE Jensen, KS Pedersen, SI Olsen: Pre-harvest weed mapping of Cirsium arvense in wheat and barley with off-the-shelf UAVs, Precision Agriculture 20 (5), 983-999, 2019.
WM Kouw, SN Ørting, J Petersen, KS Pedersen, M de Bruijne: A cross-center smoothness prior for variational Bayesian brain tissue segmentation, International Conference on Information Processing in Medical Imaging, 360-371, 2019.
K Stensbo-Smidt, F Gieseke, C Igel, A Zirm, K Steenstrup Pedersen: Sacrificing information for the greater good: how to select photometric bands for optimal accuracy, Monthly Notices of the Royal Astronomical Society 464 (3), 2577-2596, 2017.
J Kremer, K Stensbo-Smidt, F Gieseke, KS Pedersen, C Igel: Big universe, big data: machine learning and image analysis for astronomy, IEEE Intelligent Systems 32 (2), 16-22, 2017.
K Steenstrup Pedersen, RR Paulsen: Special section on 19th Scandinavian conference on image analysis (SCIA 2015), Pattern Recognition Letters 80, 238-238, 2016.
K Stensbo-Smidt, KS Pedersen, C Igel: Recycling on a Cosmic Scale, , 2016.