J Sporring: Multiscale and multiresolution analysis, Medical Image Analysis, 177-197, 2024.
PA Yushkevich, M Zhang, J Sporring: Parametric volumetric registration, Medical Image Analysis, 331-354, 2024.
W Yin, R Tu, H Yin, D Kragic, H Kjellström, M Björkman: Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models, arXiv preprint arXiv:2304.04681, 2023.
E Petersen, M Ganz, S Holm, A Feragen: On (assessing) the fairness of risk score models, Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023.
CHY Fu, G Erus, Y Fan, M Antoniades, D Arnone, SR Arnott, T Chen, ...: AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and …, BMC psychiatry 23 (1), 59, 2023.
KHR Jensen, VH Dam, M Ganz, PMD Fisher, CT Ip, A Sankar, ...: Deep phenotyping towards precision psychiatry of first-episode depression—the Brain Drugs-Depression cohort, BMC psychiatry 23 (1), 151, 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.
I Pershin, T Mustafaev, D Ibragimova, B Ibragimov: Changes in Radiologists’ Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment, Journal of Digital Imaging 36 (3), 767-775, 2023.
Y Quéau, R Bruneau, J Mélou, JD Durou, F Lauze: On Photometric Stereo in the Presence of a Refractive Interface, International Conference on Scale Space and Variational Methods in Computer …, 2023.
RP Dörfel, JM Arenas-Gomez, PM Fisher, M Ganz, GM Knudsen, ...: Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test-retest reliability of publicly available software packages, BioRxiv.01. 26.525514, 2023.
T Alscher, K Erleben, S Darkner: Collision-constrained deformable image registration framework for discontinuity management, Plos one 18 (8), e0290243, 2023.
E Ayvali, B Ibragimov, J Li: Three-dimensional instrument pose estimation, US Patent App. 18/067,688, 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.
CE Hoei-Hansen, L Weber, M Johansen, R Fabricius, JK Hansen, ...: Cerebral Palsy–Early Diagnosis and Intervention Trial: Protocol for the Prospective Multicentre CP-EDIT Study with focus on diagnosis, prognostic factors, and intervention, , 2023.
CT Ip, M Ganz, B Ozenne, S Olbrich, V Beliveau, VH Dam, ...: Association between the loudness dependence of auditory evoked potential, serotonergic neurotransmission and treatment outcome in patients with depression, European Neuropsychopharmacology 70, 32-44, 2023.
A Ben-Hamadou, O Smaoui, A Rekik, S Pujades, E Boyer, H Lim, M Kim, ...: 3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge, arXiv preprint arXiv:2305.18277, 2023.
R Bruneau, B Brument, L Calvet, M Cassidy, J Mélou, Y Quéau, JD Durou, ...: Multi-view Stereo of an Object Immersed in a Refractive Medium, , 2023.
AG Smith, D Kutnár, IR Vogelius, S Darkner, J Petersen: Localise to segment: crop to improve organ at risk segmentation accuracy, arXiv preprint arXiv:2304.04606, 2023.
B Ibragimov, J Zhen, E Ayvali: Deep learning for detection of clinical operations in robot-assisted percutaneous renal access, IEEE Access, 2023.
B Brument, L Calvet, R Bruneau, J Mélou, S Gasparini, Y Quéau, F Lauze, ...: A shape-from-silhouette method for 3D reconstruction of a convex polyhedron, Sixteenth International Conference on Quality Control by Artificial Vision …, 2023.
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.
E Petersen, E Ferrante, M Ganz, A Feragen: Are demographically invariant models and representations in medical imaging fair?, arXiv preprint arXiv:2305.01397, 2023.
R Liu, F Lauze, E Bekkers, K Erleben, S Darkner: SE (3) Group Convolutional Neural Networks and a Study on Group Convolutions and Equivariance for DWI Segmentation, , 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.
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.
SN Ørting, HJT Stephensen, J Sporring: Morphology on categorical distributions, Journal of Mathematical Imaging and Vision, 1-13, 2023.
E Ayvali, B Ibragimov: Three-dimensional model reconstruction, US Patent App. 18/067,698, 2023.
T Dascalu, S Ramezanzade, A Bakhshandeh, L Bjorndal, B Ibragimov: A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays, arXiv preprint arXiv:2309.00027, 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.
M Laustsen, J Slipsager, T Gaaß, A Van der Kouwe, M Ganz, LG Hanson: Selective MRI reacquisition to extend the working range of retrospective motion correction, 2023 ISMRM & SMRT Annual Meeting & Exhibition, 2023.
E Ayvali, B Ibragimov, S Plewe, JZ Bone, M Drahos, Y Malinin: Alignment techniques for percutaneous access, US Patent 11,660,147, 2023.
S Holm, E Petersen, M Ganz, A Feragen: Bias in context: What to do when complete bias removal is not an option, Proceedings of the National Academy of Sciences 120 (23), e2304710120, 2023.
MN Spann, JL Wisnowski, B Ahtam, W Gao, H Huang, MB Nebel, ...: The art, science, and secrets of scanning young children, Biological psychiatry 93 (10), 858-860, 2023.
E Petersen, S Holm, M Ganz, A Feragen: The path toward equal performance in medical machine learning, Patterns 4 (7), 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.
S Ramezanzade, T Laurentiu, A Bakhshandah, B Ibragimov, T Kvist, ...: The efficiency of artificial intelligence methods for finding radiographic features in different endodontic treatments-a systematic review, Acta Odontologica Scandinavica, 1-14, 2023.
W Yin, H Yin, K Baraka, D Kragic, M Björkman: Multimodal dance style transfer, Machine Vision and Applications 34 (4), 1-14, 2023.
PJ Jennum, M Perslev, C Igel, S Darkner: U-Sleep: Automatic Clinical Sleep Staging, , 2023.
AS Wagner, C Maumet, M Ganz, CG van Praag: 10 years of reproducibility in biomedical research: how can we achieve generalizability and fairness?, 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), 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.
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.
G Podobnik, P Strojan, P Peterlin, B Ibragimov, T Vrtovec: HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset, Medical physics 50 (3), 1917-1927, 2023.
E Ayvali, B Ibragimov: Two-dimensional image registration, US Patent App. 18/067,691, 2023.
G Podobnik, P Strojan, P Peterlin, B Ibragimov, T Vrtovec: Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk, International Conference on Medical Image Computing and Computer-Assisted …, 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.
T Dascalu, B Ibragimov: Assignment Theory-Augmented Neural Network for Dental Arch Labeling, International Conference on Medical Image Computing and Computer-Assisted …, 2023.
D Alukaev, S Kiselev, I Pershin, B Ibragimov, V Ivanov, A Kornaev, I Titov: Cross-Modal Conceptualization in Bottleneck Models, arXiv preprint arXiv:2310.14805, 2023.
D Li, LM Pehrson, R Bonnevie, M Fraccaro, J Thrane, L Tøttrup, ...: 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, Diagnostics 13 (6), 1070, 2023.
B Ibragimov, K Arzamasov, B Maksudov, S Kiselev, A Mongolin, ...: A 178-clinical-center experiment of integrating AI solutions for lung pathology diagnosis, Scientific Reports 13 (1), 1135, 2023.
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, 1-12, 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.
S Ramezanzade, TL Dascalu, B Ibragimov, A Bakhshandeh, L Bjørndal: Prediction of Pulp Exposure before Caries Excavation using Artificial Intelligence: Deep Learning-based Image Data versus Standard Dental Radiographs, Journal of Dentistry, 104732, 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.
I Pershin¹, B Maksudov, T Mustafaev¹, B Ibragimov: Check for updates AI-Based Extraction of Radiologists Gaze Patterns Corresponding to Lung Regions, Intelligent Systems Design and Applications: 22nd International Conference …, 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.
M Ganz, RA Poldrack: Data sharing in neuroimaging: experiences from the BIDS project, Nature Reviews Neuroscience, 1-2, 2023.
RA Poldrack, CJ Markiewicz, S Appelhoff, YK Ashar, T Auer, S Baillet, ...: The past, present, and future of the brain imaging data structure (BIDS), arXiv preprint arXiv:2309.05768, 2023.
AG Kloster, G Opheim, KÅ Alfstad, KB Larsen, P Niehusmann, E Holm, ...: Postprocessing of MRIs Using FreeSurfer in Epilepsy Surgery Patients Provides an Excellent Imaging Marker of Hippocampal Sclerosis but Fails to Separate Subtypes, Acta Neurologica Scandinavica 2023, 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, 2023.
I Pershin, T Mustafaev, B Ibragimov: Contrastive Learning Approach to Predict Radiologist's Error Based on Gaze Data, 2023 IEEE Congress on Evolutionary Computation (CEC), 1-6, 2023.
E Ayvali, B Ibragimov: Phase segmentation of a percutaneous medical procedure, US Patent App. 18/186,124, 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.
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...: Why is the winner the best?, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023.
J Sporring, S Darkner: Reconstructing binary signals from local histograms, Entropy 24 (3), 433, 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.
A Meldgaard, S Darkner, K Erleben: Fast Vortex Particle Method for Fluid-Character Interaction, Graphics Interface 2022, 2022.
S Niebe, K Erleben: Numerical methods for linear complementarity problems in physics-based animation, Springer Nature, 2022.
F Lyu, M Ye, JF Carlsen, K Erleben, S Darkner, PC Yuen: Pseudo-label guided image synthesis for semi-supervised covid-19 pneumonia infection segmentation, IEEE Transactions on Medical Imaging 42 (3), 797-809, 2022.
G Tegnér, A Reichlin, H Yin, H Kjellstrom, M Björkman, D Kragic: Gradient-Based Transfer Learning, , 2022.
NY Larsen, N Vihrs, J Møller, J Sporring, X Tan, X Li, G Ji, G Rajkowska, ...: Layer III pyramidal cells in the prefrontal cortex reveal morphological changes in subjects with depression, schizophrenia, and suicide, Translational psychiatry 12 (1), 363, 2022.
I Pershin, B Maksudov, T Mustafaev, B Ibragimov: AI-Based Extraction of Radiologists Gaze Patterns Corresponding to Lung Regions, International Conference on Intelligent Systems Design and Applications, 386-393, 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.
T Gholamalizadeh, F Moshfeghifar, Z Ferguson, T Schneider, D Panozzo, ...: Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw, Computer Methods and Programs in Biomedicine 224, 107009, 2022.
J Lu, C Yin, O Krause, K Erleben, MB Nielsen, S Darkner: Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis, International Workshop on Interpretability of Machine Intelligence in …, 2022.
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...: Biomedical image analysis competitions: The state of current participation practice, arXiv preprint arXiv:2212.08568, 2022.
F Moshfeghifar, T Gholamalizadeh, Z Ferguson, T Schneider, MB Nielsen, ...: LibHip: An open-access hip joint model repository suitable for finite element method simulation, Computer Methods and Programs in Biomedicine 226, 107140, 2022.
M Antoniades, C Fu, G Erus, J Garcia, Y Fan, D Arnone, S Arnott, T Chen, ...: Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo, , 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.
HG Jensen, F Lauze, S Darkner: Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images, Journal of Mathematical Imaging and Vision 64 (1), 1-16, 2022.
A Reichlin, GL Marchetti, H Yin, A Varava, D Kragic: Learning Geometric Representations of Interactive Objects, , 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.
JD Tascón-Vidarte, LB Stick, M Josipovic, S Risum, J Jomier, K Erleben, ...: Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning, Plos one 17 (7), e0271064, 2022.
C Benitez, HJ Stephensen, A Benraiss, R Mokso, J Sporring, S Goldman: Astrocytic engagement of the corticostriatal synaptic cleft is disrupted in a mouse model of Huntington disease, bioRxiv.12. 06.519168, 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.
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.
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.
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.
C Wang, L Ostergaard, S Hasselholt, J Sporring: Extracting Mitochondrial Cristae Characteristics from 3D Focused Ion Beam Scanning Electron Microscopy Data, bioRxiv.11. 08.515664, 2022.
H Eichhorn, R Frost, A Kongsgaard, K Kettless, J Slipsager, S Glimberg, ...: Evaluating the performance of markerless prospective motion correction and selective reacquisition in a general clinical protocol for brain MRI, PsyArXiv, 2022.
P Xu, F Moshfeghifar, T Gholamalizadeh, MB Nielsen, K Erleben, ...: Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning, Workshop on Medical Image Learning with Limited and Noisy Data, 153-162, 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.
S Andrews, K Erleben, Z Ferguson: Contact and friction simulation for computer graphics, ACM SIGGRAPH 2022 Courses, 1-172, 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.
AS Olsen, A Lykkebo-Valløe, B Ozenne, MK Madsen, DS Stenbæk, ...: Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects, Neuroimage 264, 119716, 2022.
M Vasco, H Yin, FS Melo, A Paiva: Leveraging hierarchy in multimodal generative models for effective cross-modality inference, Neural Networks 146, 238-255, 2022.
S Amiri, B Ibragimov: Improved automated lesion segmentation in whole-body FDG/PET-CT via test-time augmentation, arXiv preprint arXiv:2210.07761, 2022.
D Li, LM Pehrson, L Tøttrup, M Fraccaro, R Bonnevie, J Thrane, ...: 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 …, Diagnostics 12 (12), 3112, 2022.
S Calinon, F Chen, M Li, N Figueroa, H Yin, J Silverio, A Billard: Call for Papers Focused Section on Design, Modeling, Learning and Control for Bimanual Manipulation Mechatronics, IEEE-ASME TRANSACTIONS ON MECHATRONICS 27 (3), 1813-1814, 2022.
R Antonova, P Shi, H Yin, Z Weng, DK Jensfelt: Dynamic environments with deformable objects, Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021.
R Liu, F Lauze, K Erleben, S Darkner: Bundle geodesic convolutional neural network for DWI segmentation from single scan learning, International Workshop on Computational Diffusion MRI, 121-132, 2021.
SA Khader, H Yin, P Falco, D Kragic: Learning deep energy shaping policies for stability-guaranteed manipulation, IEEE Robotics and Automation Letters 6 (4), 8583-8590, 2021.
A Renaudeau, T Seng, A Carlier, F Pierre, F Lauze, JF Aujol, JD Durou: Learning Defects in Old Movies from Manually Assisted Restoration, 2020 25th International Conference on Pattern Recognition (ICPR), 5254-5261, 2021.
HJT Stephensen, AM Svane, CB Villanueva, SA Goldman, J Sporring: Measuring shape relations using r-parallel sets, Journal of Mathematical Imaging and Vision 63 (8), 1069-1083, 2021.
G Wang, FB Lauze, A Feragen: Graph2graph learning with conditional autoregressive models, arXiv preprint arXiv:2106.03236, 2021.
M Vasco, H Yin, FS Melo, A Paiva: How to sense the world: Leveraging hierarchy in multimodal perception for robust reinforcement learning agents, arXiv preprint arXiv:2110.03608, 2021.
W Yin, H Yin, D Kragic, M Björkman: Graph-based normalizing flow for human motion generation and reconstruction, 2021 30th IEEE International Conference on Robot & Human Interactive …, 2021.
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.
A Renaudeau, T Seng, A Carlier, F Pierre, F Lauze, JF Aujol, JD Durou: Détection des défauts dans les vieux films par apprentissage profond à partir d'une restauration semi-manuelle, ORASIS 2021-18èmes journées francophones des jeunes chercheurs en vision par …, 2021.
PEH Hansen, R Waagepetersen, AM Svane, J Sporring, HJT Stephensen, ...: Currents and K-functions for Fiber Point Processes, International Conference on Geometric Science of Information, 127-134, 2021.
Z Weng, F Paus, A Varava, H Yin, T Asfour, D Kragic: Graph-based task-specific prediction models for interactions between deformable and rigid objects, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021.
NY Larsen, X Li, X Tan, G Ji, J Lin, G Rajkowska, J Møller, N Vihrs, ...: Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections, Communications Biology 4 (1), 1030, 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.
J Koo: Tomographic Segmentation from Limited Projection Data, Technical University of Denmark, 2021.
S Darkner, JDT Vidarte, F Lauze: First Order Locally Orderless Registration, International Conference on Scale Space and Variational Methods in Computer …, 2021.
WM Laprade, M Perslev, J Sporring: How few annotations are needed for segmentation using a multi-planar U-Net?, MICCAI Workshop on Deep Generative Models, 209-216, 2021.
M Cassidy, J Mélou, Y Quéau, F Lauze, JD Durou: Refractive multi-view stereo, 2020 International Conference on 3D Vision (3DV), 384-393, 2020.
G Karagiannis, S Olsen, K Pedersen: Deep learning for detection of railway signs and signals, Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020.
C Cattaneo, J Liu, C Wang, E Pagliarini, J Sporring, WLP Bredie: Comparison of manual and machine learning image processing approaches to determine fungiform papillae on the tongue, Scientific reports 10 (1), 18694, 2020.
HJT Stephensen, S Darkner, J Sporring: Restoring drifted electron microscope volumes using synaptic vesicles at sub-pixel accuracy, Communications biology 3 (1), 81, 2020.
C Wang, C Cattaneo, J Liu, W Bredie, E Pagliarini, J Sporring: A Novel Approach to Tongue Standardization and Feature Extraction, International Conference on Medical Image Computing and Computer-Assisted …, 2020.
S Bellart, SMB Seddik, M Cassidy, J Dolbecq, N Guitton, J Mélou, ...: Reconstruction 3D d'un insecte piégé dans l'ambre, Congrés Reconnaissance des Formes, Image, Apprentissage et Perception-RFIAP 2020, 2020.
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, 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, Information Processing in Medical Imaging: 26th International Conference …, 2019.
A Renaudeau, F Lauze, F Pierre, JF Aujol, JD Durou: Inpainting vidéo pour la restauration de films par reconstructions alternées de la structure et de la texture, ORASIS 2019-17ème journées francophones des jeunes chercheurs en vision par …, 2019.
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 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 Rasmussen, J Nielsen, JC Streibig, SI Olsen, KS Pedersen, JE Jensen: Droner til monitering af flerårigt ukrudt i korn, Bekæmpelsesmiddelforskning, 2016.
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.
JG Egilsson, KS Pedersen, SI Olsen, J Nielsen, G Ntakos, J Rasmussen: Pre-harvest assessment of perennial weeds in cereals based on images from unmanned aerial systems (UAS), 17th European Weed Research Society Symposium “Weed management in changing …, 2015.
J Kremer, F Gieseke, KS Pedersen, C Igel: Nearest neighbor density ratio estimation for large-scale applications in astronomy, Astronomy and Computing 12, 67-72, 2015.
RR Paulsen, KS Pedersen: Image Analysis.: Proceedings. 19th Scandinavian Conference, SCIA 2015Copenhagen, Denmark, June 15–17, 2015, 19th Scandinavian Conference on Image Analysis, 2015.
RR Paulsen, KS Pedersen: Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings, Springer, 2015.
A Lygum, JS Nielsen, NB Bådum, A la Cour-Harbo, JP Hansen, ...: Civile Droner i Danmark: Kortlægning og teknologivurdering, Teknologi Rådet, 2014.
AKS Lygum, JS Nielsen, NB Bådum, A la Cour-Harbo, JP Hansen, ...: Civile droner i Danmark: Potentialer, udfordringer og anbefalinger, Teknologirådet, 2014.