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.
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A Reichlin, M Vasco, H Yin, D Kragic: Goal-Conditioned Offline Reinforcement Learning via Metric Learning, arXiv preprint arXiv:2402.10820, 2024.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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K Arnavaz, K Erleben: Differentiable Rendering as a Way to Program Cable-Driven Soft Robots, arXiv preprint arXiv:2404.07590, 2024.
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J Sporring: Multiscale and multiresolution analysis, Medical Image Analysis, 177-197, 2024.
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PA Yushkevich, M Zhang, J Sporring: Parametric volumetric registration, Medical Image Analysis, 331-354, 2024.
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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.
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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.
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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.
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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.
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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.
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W Yin, Q Yao, Y Yu, H Yin, D Kragic, M Björkman: Music-and Lyrics-driven Dance Synthesis, arXiv preprint arXiv:2310.00455, 2023.
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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.
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E Ayvali, B Ibragimov, S Plewe, JZ Bone, M Drahos, Y Malinin: Alignment techniques for percutaneous access, US Patent App. 18/321,571, 2023.
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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.
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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.
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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.
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SN Ørting, HJT Stephensen, J Sporring: Morphology on categorical distributions, Journal of Mathematical Imaging and Vision 65 (6), 861-873, 2023.
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G Tegnér, A Reichlin, H Yin, M Björkman, D Kragic: Variance-Reduced Meta-Learning via Laplace Approximation, , 2023.
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E Ayvali, YE Menglong, B Ibragimov, DB Berman: Target anatomical feature localization, US Patent 11,737,663, 2023.
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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.
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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.
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E Petersen, E Ferrante, M Ganz, A Feragen: Are demographically invariant models and representations in medical imaging fair?, arXiv preprint arXiv:2305.01397, 2023.
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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.
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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.
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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.
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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.
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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.
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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.
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E Ayvali, B Ibragimov: Phase segmentation of a percutaneous medical procedure, US Patent App. 18/186,124, 2023.
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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.
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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.
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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.
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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.
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C Wang, L Østergaard, S Hasselholt, J Sporring: Ultrastructure of mitochondria in 3D from volume electron microscopy, Euromit: International meeting on mitochondrial pathology, 2023.
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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.
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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.
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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.
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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.
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T Dascalu, B Ibragimov: Assignment Theory-Augmented Neural Network for Dental Arch Labeling, International Conference on Medical Image Computing and Computer-Assisted …, 2023.
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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.
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W Yin, H Yin, K Baraka, D Kragic, M Björkman: Multimodal dance style transfer, Machine Vision and Applications 34 (4), 48, 2023.
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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.
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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.
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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.
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P Schreiner, K Erleben, S Darkner: Method and system of global position prediction for imu motion capture, US Patent App. 17/892,009, 2023.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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C Wang, L Østergaard, S Hasselholt, J Sporring: 3D mitochondrial ultrastructure using volume electron microscopy, , 2023.
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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.
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E Ayvali, YE Menglong, B Ibragimov, DB Berman: Endoscopic anatomical feature tracking, US Patent App. 18/221,333, 2023.
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T Alscher, K Erleben, S Darkner: Collision-constrained deformable image registration framework for discontinuity management, Plos one 18 (8), e0290243, 2023.
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B Ibragimov, J Zhen, E Ayvali: Deep learning for detection of clinical operations in robot-assisted percutaneous renal access, IEEE Access, 2023.
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E Ayvali, B Ibragimov: Two-dimensional image registration, US Patent App. 18/067,691, 2023.
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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.
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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.
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M Ganz, RA Poldrack: Data sharing in neuroimaging: experiences from the BIDS project, Nature Reviews Neuroscience 24 (12), 729-730, 2023.
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PJ Jennum, M Perslev, C Igel, S Darkner: U-Sleep: Automatic Clinical Sleep Staging, , 2023.
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E Petersen, S Holm, M Ganz, A Feragen: The path toward equal performance in medical machine learning, Patterns 4 (7), 2023.
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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.
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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.
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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.
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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.
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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.
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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.
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J Sporring, S Darkner: An algebra for local histograms, Frontiers in Computer Science 4, 939563, 2022.
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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.
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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.
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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.
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S Hasselholt, HJT Stephensen, D Janssen, A Hasselholt, A Dubois, ...: Structural and functional changes in a genetic model of amyotrophic lateral sclerosis, , 2022.
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G Tegnér, A Reichlin, H Yin, H Kjellstrom, M Björkman, D Kragic: Gradient-Based Transfer Learning, , 2022.
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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.
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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.
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J Sporring, S Darkner: Reconstructing binary signals from local histograms, Entropy 24 (3), 433, 2022.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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S Andrews, K Erleben, Z Ferguson: Contact and friction simulation for computer graphics, ACM SIGGRAPH 2022 Courses, 1-172, 2022.
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A Reichlin, GL Marchetti, H Yin, A Varava, D Kragic: Learning Geometric Representations of Interactive Objects, , 2022.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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K Steenstrup Pedersen, RR Paulsen: Special section on 19th Scandinavian conference on image analysis (SCIA 2015), Pattern Recognition Letters 80, 238-238, 2016.
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J Rasmussen, J Nielsen, JC Streibig, SI Olsen, KS Pedersen, JE Jensen: Droner til monitering af flerårigt ukrudt i korn, Bekæmpelsesmiddelforskning, 2016.
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K Stensbo-Smidt, KS Pedersen, C Igel: Recycling on a Cosmic Scale, , 2016.
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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.
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RR Paulsen, KS Pedersen: Image Analysis.: Proceedings. 19th Scandinavian Conference, SCIA 2015Copenhagen, Denmark, June 15–17, 2015, 19th Scandinavian Conference on Image Analysis, 2015.
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RR Paulsen, KS Pedersen: Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark, June 15-17, 2015. Proceedings, Springer, 2015.
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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.
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A Lygum, JS Nielsen, NB Bådum, A la Cour-Harbo, JP Hansen, ...: Civile Droner i Danmark: Kortlægning og teknologivurdering, Teknologi Rådet, 2014.
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