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.
A Reichlin, M Vasco, H Yin, D Kragic: Goal-Conditioned Offline Reinforcement Learning via Metric Learning, arXiv preprint arXiv:2402.10820, 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.
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.
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, 1-13, 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.
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.
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 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.
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.
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.
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.
R Dörfel, JM Arenas-Gomez, C Svarer, M Ganz, GM Knudsen, J Svensson, ...: Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET derived features, bioRxiv.02. 05.578968, 2024.
K Arnavaz, K Erleben: Differentiable Rendering as a Way to Program Cable-Driven Soft Robots, arXiv preprint arXiv:2404.07590, 2024.
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.
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, 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.
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.
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.
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.
E Ayvali, B Ibragimov, S Plewe, JZ Bone, M Drahos, Y Malinin: Alignment techniques for percutaneous access, US Patent App. 18/321,571, 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.
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.
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.
SN Ørting, HJT Stephensen, J Sporring: Morphology on categorical distributions, Journal of Mathematical Imaging and Vision 65 (6), 861-873, 2023.
G Tegnér, A Reichlin, H Yin, M Björkman, D Kragic: Variance-Reduced Meta-Learning via Laplace Approximation, , 2023.
E Ayvali, YE Menglong, B Ibragimov, DB Berman: Target anatomical feature localization, US Patent 11,737,663, 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.
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.
E Petersen, E Ferrante, M Ganz, A Feragen: Are demographically invariant models and representations in medical imaging fair?, arXiv preprint arXiv:2305.01397, 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.
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.
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.
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.
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.
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: Phase segmentation of a percutaneous medical procedure, US Patent App. 18/186,124, 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.
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 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.
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.
C Wang, L Østergaard, S Hasselholt, J Sporring: Ultrastructure of mitochondria in 3D from volume electron microscopy, Euromit: International meeting on mitochondrial pathology, 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.
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.
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.
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.
T Dascalu, B Ibragimov: Assignment Theory-Augmented Neural Network for Dental Arch Labeling, International Conference on Medical Image Computing and Computer-Assisted …, 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.
W Yin, H Yin, K Baraka, D Kragic, M Björkman: Multimodal dance style transfer, Machine Vision and Applications 34 (4), 48, 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.
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.
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 Schreiner, K Erleben, S Darkner: Method and system of global position prediction for imu motion capture, US Patent App. 17/892,009, 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.
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.
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.
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, 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.
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.
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.
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.
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.
C Wang, L Østergaard, S Hasselholt, J Sporring: 3D mitochondrial ultrastructure using volume electron microscopy, , 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.
E Ayvali, YE Menglong, B Ibragimov, DB Berman: Endoscopic anatomical feature tracking, US Patent App. 18/221,333, 2023.
T Alscher, K Erleben, S Darkner: Collision-constrained deformable image registration framework for discontinuity management, Plos one 18 (8), e0290243, 2023.
B Ibragimov, J Zhen, E Ayvali: Deep learning for detection of clinical operations in robot-assisted percutaneous renal access, IEEE Access, 2023.
E Ayvali, B Ibragimov: Two-dimensional image registration, US Patent App. 18/067,691, 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.
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.
M Ganz, RA Poldrack: Data sharing in neuroimaging: experiences from the BIDS project, Nature Reviews Neuroscience 24 (12), 729-730, 2023.
PJ Jennum, M Perslev, C Igel, S Darkner: U-Sleep: Automatic Clinical Sleep Staging, , 2023.
E Petersen, S Holm, M Ganz, A Feragen: The path toward equal performance in medical machine learning, Patterns 4 (7), 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.
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.
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.
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.
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.
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: An algebra for local histograms, Frontiers in Computer Science 4, 939563, 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.
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 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.
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, H Kjellstrom, M Björkman, D Kragic: Gradient-Based Transfer Learning, , 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.
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.
J Sporring, S Darkner: Reconstructing binary signals from local histograms, Entropy 24 (3), 433, 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.
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.
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.
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.
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.
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.
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.
S Andrews, K Erleben, Z Ferguson: Contact and friction simulation for computer graphics, ACM SIGGRAPH 2022 Courses, 1-172, 2022.
A Reichlin, GL Marchetti, H Yin, A Varava, D Kragic: Learning Geometric Representations of Interactive Objects, , 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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.