NJ 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.
B Ibragimov, C Mello-Thoms: The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review, IEEE Journal of Biomedical and Health Informatics, 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, 1-11, 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.
B Leth Møller, BZS Lo, J Burisch, F Bendtsen, I Vind, B Ibragimov, C Igel: Building an AI Support Tool for Real-time Ulcerative Colitis Diagnosis, arXiv e-prints, arXiv: 2404.08693, 2024.
J Sporring, P Xu, J Lu, F Lauze, S Darkner: Locally orderless networks, arXiv preprint arXiv:2406.13514, 2024.
PA Yushkevich, M Zhang, J Sporring: Parametric volumetric registration, Medical Image Analysis, 331-354, 2024.
J Sporring: Multiscale and multiresolution analysis, Medical Image Analysis, 177-197, 2024.
Z Weng, P Zhou, H Yin, A Kravberg, A Varava, D Navarro-Alarcon, ...: Interactive Perception for Deformable Object Manipulation, arXiv preprint arXiv:2403.05177, 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.
V Beliveau, H Kaas, M Prener, C Ladefoged, D Elliott, GM Knudsen, ...: Classification of Medical Text in Small and Imbalanced Datasets in a Non-English Language, Medical Imaging with Deep Learning, 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.
B Ozenne, M Norgaard, C Pernet, M Ganz: A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses, arXiv preprint arXiv:2404.14882, 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.
E Huijben, ML Terpstra, A Galapon Jr, S Pai, A Thummerer, P Koopmans, ...: Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report, arXiv preprint arXiv:2403.08447, 2024.
A Anikina, I Pershin, T Mustafaev, B Ibragimov: Recognition of radiological decision errors from eye movement during chest x-ray readings, Medical Imaging 2024: Image Perception, Observer Performance, and Technology …, 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.
G Podobnik, B Ibragimov, P Peterlin, P Strojan, T Vrtovec: vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images, Medical Physics 51 (3), 2175-2186, 2024.
G Podobnik, B Ibragimov, E Tappeiner, C Lee, JS Kim, Z Mesbah, ...: HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge, Radiotherapy and Oncology, 110410, 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.
K Arnavaz, K Erleben: Differentiable Rendering as a Way to Program Cable-Driven Soft Robots, arXiv preprint arXiv:2404.07590, 2024.
CHY Fu, M Antoniades, G Erus, JA Garcia, Y Fan, D Arnone, SR Arnott, ...: Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo, Nature Mental Health 2 (2), 164-176, 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, 1-8, 2024.
A Reichlin, M Vasco, H Yin, D Kragic: Goal-Conditioned Offline Reinforcement Learning via Metric Learning, arXiv preprint arXiv:2402.10820, 2024.
D Koc, M Nørgaard, M Ganz, R Muetzel, H El Marroun, H Tiemeier, ...: Associations between behavioral and emotional problems and brain morphology in early adolescence: A neuroimaging study using the NRU Serotonin Atlas, OSF, 2024.
D Ocepek, G Podobnik, B Ibragimov, T Vrtovec: Deep implicit statistical shape models for 3D lumbar vertebrae image delineation, Medical Imaging 2024: Image Processing 12926, 782-788, 2024.
RA Poldrack, CJ Markiewicz, S Appelhoff, YK Ashar, T Auer, S Baillet, ...: The past, present, and future of the brain imaging data structure (BIDS), Imaging Neuroscience 2, 1-19, 2024.
C Wang, L Østergaard, S Hasselholt, J Sporring: 3D mitochondrial ultrastructure using volume electron microscopy, , 2023.
F Yousefirizi, S Amiri, B Ibragimov, C Gowdy, C Uribe, A Rahmim: Test-Time Augmentation Towards Improved Cross-Center PET/CT Segmentations by the Swin UNETR, 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 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, BMC pediatrics 23 (1), 544, 2023.
PJ Jennum, M Perslev, C Igel, S Darkner: U-Sleep: Automatic Clinical Sleep Staging, , 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: Machine Learning for Image-Based Radiotherapy Outcome Prediction, Artificial Intelligence in Radiation Oncology and Biomedical Physics, 25-52, 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.
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.
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.
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.
E Ayvali, YE Menglong, B Ibragimov, DB Berman: Endoscopic anatomical feature tracking, US Patent App. 18/221,333, 2023.
W Yin, H Yin, K Baraka, D Kragic, M Björkman: Multimodal dance style transfer, Machine Vision and Applications 34 (4), 48, 2023.
B Ibragimov, J Zhen, E Ayvali: Deep learning for detection of clinical operations in robot-assisted percutaneous renal access, IEEE Access, 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.
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.
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.
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.
T Dascalu, B Ibragimov: Assignment Theory-Augmented Neural Network for Dental Arch Labeling, International Conference on Medical Image Computing and Computer-Assisted …, 2023.
E Ayvali, YE Menglong, B Ibragimov, DB Berman: Target anatomical feature localization, US Patent 11,737,663, 2023.
SN Ørting, HJT Stephensen, J Sporring: Morphology on categorical distributions, Journal of Mathematical Imaging and Vision 65 (6), 861-873, 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.
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 81 (6), 422-435, 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.
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.
M Ganz, RA Poldrack: Data sharing in neuroimaging: experiences from the BIDS project, Nature Reviews Neuroscience 24 (12), 729-730, 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.
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.
E Ayvali, B Ibragimov, S Plewe, JZ Bone, M Drahos, Y Malinin: Alignment techniques for percutaneous access, US Patent App. 18/321,571, 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.
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.
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.
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.
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 138, 104732, 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.
C Wang, L Østergaard, S Hasselholt, J Sporring: Ultrastructure of mitochondria in 3D from volume electron microscopy, Euromit: International meeting on mitochondrial pathology, 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.
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.
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.
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, 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.
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.
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.
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.
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.
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, Human Brain Mapping 44 (17), 6139-6148, 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.
AS Wagner, C Maumet, M Ganz, CG van Praag: 10 years of reproducibility in biomedical research: how can we achieve generalizability and fairness?, ISBI 2023-20th IEEE International Symposium on Biomedical Imaging, 3, 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.
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.
T Alscher, K Erleben, S Darkner: Collision-constrained deformable image registration framework for discontinuity management, Plos one 18 (8), e0290243, 2023.
E Petersen, S Holm, M Ganz, A Feragen: The path toward equal performance in medical machine learning, Patterns 4 (7), 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 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.
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.
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.
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.
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.
S Hasselholt, HJT Stephensen, D Janssen, A Hasselholt, A Dubois, ...: Structural and functional changes in a genetic model of amyotrophic lateral sclerosis, , 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.
C Wang, L Østergaard, S Hasselholt, J Sporring: Extracting Mitochondrial Cristae Characteristics from 3D Focused Ion Beam Scanning Electron Microscopy Data, BioRxiv.11. 08.515664, 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.
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.
J Sporring, S Darkner: An algebra for local histograms, Frontiers in Computer Science 4, 939563, 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 Andrews, K Erleben, Z Ferguson: Contact and friction simulation for computer graphics, ACM SIGGRAPH 2022 Courses, 1-172, 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.
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.
J Sporring, S Darkner: Reconstructing binary signals from local histograms, Entropy 24 (3), 433, 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.
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.
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.
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.
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.
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 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, V Miguel, H Yin, FS Melo, A Paiva, D Kragic: Gmc-geometric multimodal contrastive representation learning, International Conference on Machine 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 Stensbo-Smidt, KS Pedersen, C Igel: Recycling on a Cosmic Scale, , 2016.
K Steenstrup Pedersen, RR Paulsen: Special section on 19th Scandinavian conference on image analysis (SCIA 2015), Pattern Recognition Letters 80, 238-238, 2016.
J Rasmussen, J Nielsen, JC Streibig, SI Olsen, KS Pedersen, JE Jensen: Droner til monitering af flerårigt ukrudt i korn, Bekæmpelsesmiddelforskning, 2016.
RR Paulsen, KS Pedersen: Image Analysis.: Proceedings. 19th Scandinavian Conference, SCIA 2015Copenhagen, Denmark, June 15–17, 2015, 19th Scandinavian Conference on Image Analysis, 2015.
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.
RR Paulsen, KS Pedersen: Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings, Springer, 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.
A Lygum, JS Nielsen, NB Bådum, A la Cour-Harbo, JP Hansen, ...: Civile Droner i Danmark: Kortlægning og teknologivurdering, Teknologi Rådet, 2014.