B Ibragimov, G Gusev: Learn Together Stop Apart: An Inclusive Approach to Ensemble Pruning, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 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.
P Schreiner, R Netterstrøm, H Yin, S Darkner, K Erleben: ADAPT: AI‐Driven Artefact Purging Technique for IMU Based Motion Capture, Computer Graphics Forum, e15172, 2024.
J Sporring, KF Larsen: Statistical investigations into the geometry and homology of random programs, arXiv preprint arXiv:2407.04854, 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.
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.
C Wang, S Hasselholt, J Sporring: 3D Shape Analysis and Bias Correction with Persistent Homology, , 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.
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.
HA Georgiev, JF Sheye, V Beliveau, M Ganz: Generative Models for Children’s Head Motion in Resting-State Functional Magnetic Resonance Imaging (rs-fMRI), ISMRM Workshop on Motion Correction in MR 2024, 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 198, 110410, 2024.
J Sporring: Multiscale and multiresolution analysis, Medical Image Analysis, 177-197, 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.
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 Kornaev, I Makovik, E Kornaeva, M Volkov, N Margaryants, E Potapova, ...: Approaching in vivo blood count tests with capillaroscopy and deep learning, Authorea Preprints, 2024.
S Hasselholt, HJT Stephensen, D Janssen, AH Andersen, A Dubois, ...: Investigating the Role of ADGRV1 in ALS Using a Novel Mouse Model, , 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.
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.
A Reichlin, M Vasco, H Yin, D Kragic: Goal-Conditioned Offline Reinforcement Learning via Metric Learning, arXiv preprint arXiv:2402.10820, 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.
A Galassi, M Norgaard, AG Thomas, G Gonzalez-Escamilla, C Svarer, ...: PET2BIDS: a library for converting Positron Emission Tomography data to BIDS, Journal of open source software 9 (100), 6067, 2024.
J Sporring, P Xu, J Lu, F Lauze, S Darkner: Locally orderless networks, arXiv preprint arXiv:2406.13514, 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.
B Ozenne, M Nørgaard, C Pernet, M Ganz: Quantifying the impact of preprocessing strategies on statistical analyses, OHBM Annual meeting 2024, 2024.
N Forbes, C Terrones-Campos, A Smith, J Reekie, S Darkner, M Maraldo, ...: Cardiac dose-volume analysis of 9,411 patients with registry data for cardiovascular disease and overall survival., medRxiv.08. 16.24312108, 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.
T Dascalu, S Ramezanzade, A Bakhshandeh, L Bjørndal, B Ibragimov: AI-initiated second opinions: a framework for advanced caries treatment planning, BMC Oral Health 24 (1), 772, 2024.
CHY Fu, M Antoniades, G Erus, JA Garcia, Y Fan, D Arnone, SR Arnott, ...: Publisher Correction: Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo, Nature Mental Health 2 (9), 1120-1120, 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.
L Khaertdinova, I Pershin, T Shmykova, B Ibragimov: Gaze-Assisted Medical Image Segmentation, arXiv preprint arXiv:2410.17920, 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, 111736, 2024.
B Ibragimov, A Vakhrushev: Uplift Modelling via Gradient Boosting, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 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.
K Arnavaz, K Erleben: Differentiable Rendering as a Way to Program Cable-Driven Soft Robots, arXiv preprint arXiv:2404.07590, 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.
A Longhini, Y Wang, I Garcia-Camacho, D Blanco-Mulero, M Moletta, ...: Unfolding the literature: A review of robotic cloth manipulation, arXiv preprint arXiv:2407.01361, 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.
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.
PA Yushkevich, M Zhang, J Sporring: Parametric volumetric registration, Medical Image Analysis, 331-354, 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.
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.
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.
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.
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.
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.
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.
E Marchetto, H Eichhorn, D Gallichan, ST Schwarz, N Shekhrajka, ...: Assessing Image Quality Metric Alignment with Radiological Evaluation in Datasets with and without Motion Artifacts, 2024 ISMRM & ISMRT Annual Meeting, 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.
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.
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, 2024.
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.
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 Ayvali, B Ibragimov, S Plewe, JZ Bone, M Drahos, Y Malinin: Alignment techniques for percutaneous access, US Patent App. 18/321,571, 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.
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.
M Ganz, RA Poldrack: Data sharing in neuroimaging: experiences from the BIDS project, Nature Reviews Neuroscience 24 (12), 729-730, 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.
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.
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.
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.
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.
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.
E Petersen, S Holm, M Ganz, A Feragen: The path toward equal performance in medical machine learning, Patterns 4 (7), 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: Multimodal dance style transfer, Machine Vision and Applications 34 (4), 48, 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.
PJ Jennum, M Perslev, C Igel, S Darkner: U-Sleep: Automatic Clinical Sleep Staging, , 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.
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.
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.
T Alscher, K Erleben, S Darkner: Collision-constrained deformable image registration framework for discontinuity management, Plos one 18 (8), e0290243, 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.
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.
SN Ørting, HJT Stephensen, J Sporring: Morphology on categorical distributions, Journal of Mathematical Imaging and Vision 65 (6), 861-873, 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.
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.
W Yin, Q Yao, Y Yu, H Yin, D Kragic, M Björkman: Music-and Lyrics-driven Dance Synthesis, arXiv preprint arXiv:2310.00455, 2023.
E Ayvali, YE Menglong, B Ibragimov, DB Berman: Endoscopic anatomical feature tracking, US Patent App. 18/221,333, 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.
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.
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.
C Wang, L Østergaard, S Hasselholt, J Sporring: 3D mitochondrial ultrastructure using volume electron microscopy, , 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.
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.
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.
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.
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.
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 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.
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 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.
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.
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 Hasselholt, HJT Stephensen, D Janssen, A Hasselholt, A Dubois, ...: Structural and functional changes in a genetic model of amyotrophic lateral sclerosis, , 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.
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.
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.
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.
J Sporring, S Darkner: An algebra for local histograms, Frontiers in Computer Science 4, 939563, 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.
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.
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.
J Sporring, S Darkner: Reconstructing binary signals from local histograms, Entropy 24 (3), 433, 2022.
S Andrews, K Erleben, Z Ferguson: Contact and friction simulation for computer graphics, ACM SIGGRAPH 2022 Courses, 1-172, 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.
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, 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, 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.
K Stensbo-Smidt, KS Pedersen, C Igel: Recycling on a Cosmic Scale, , 2016.
J Rasmussen, J Nielsen, JC Streibig, SI Olsen, KS Pedersen, JE Jensen: Droner til monitering af flerårigt ukrudt i korn, Bekæmpelsesmiddelforskning, 2016.
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.
RR Paulsen, KS Pedersen: Image Analysis, 19th Scandinavian Conference, SCIA, 15-17, 2015.