Table of Contents

• Preface [doi]
• Sparse Activations for Interpretable Disease GradingKerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch. 1-17 [doi]
• Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak LabelsAdam Casson, Siqi Liu, Ran A. Godrich, Hamed Aghdam, Brandon Rothrock, Kasper Malfroid, Christopher Kanan, Thomas J. Fuchs. 18-38 [doi]
• Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology ScreeningCosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel. 39-52 [doi]
• Vision-Language Modelling For Radiological Imaging and Reports In The Low Data RegimeRhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman. 53-73 [doi]
• Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry ImagesShahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen 0012. 74-94 [doi]
• Reproducibility of the Methods in Medical Imaging with Deep LearningAttila Simkó, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt. 95-106 [doi]
• Decoding natural image stimuli from fMRI data with a surface-based convolutional networkZijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu. 107-118 [doi]
• SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIsHanxue Gu, Hongyu He, Roy J. Colglazier, Jordan Axelrod, Robert French, Maciej A. Mazurowski. 119-133 [doi]
• DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the TongueZhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu 0003, Aaron Carass, Jonghye Woo, Jerry L. Prince. 134-150 [doi]
• Simple and Efficient Confidence Score for Grading Whole Slide ImagesMélanie Lubrano, Yaëlle Bellahsen-Harrar, Rutger R. H. Fick, Cécile Badoual, Thomas Walter. 151-169 [doi]
• Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface AnalysesJiacheng Wang 0007, Kathleen E. Larson, Ipek Oguz. 170-189 [doi]
• Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD DetectorsVivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan. 190-211 [doi]
• Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRIGony Rosenman, Itzik Malkiel, Ayam Greental, Talma Hendler, Lior Wolf. 212-234 [doi]
• Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer PatientsLinda Studer, JM Bokhorst, I Nagtegaal, Inti Zlobec, Heather Dawson, Andreas Fischer 0002. 235-259 [doi]
• Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available AnnotationsMonika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten. 260-273 [doi]
• CP2Image: Generating high-quality single-cell images using CellProfiler representationsYanni Ji, Marie Cutiongco, Bjørn Sand Jensen, Ke Yuan. 274-285 [doi]
• Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss FunctionFebrian Febrian Rachmadi, Charissa Poon, Henrik Skibbe. 286-300 [doi]
• E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRIAxel Elaldi, Guido Gerig, Neel Dey. 301-319 [doi]
• Vesselformer: Towards Complete 3D Vessel Graph Generation from ImagesChinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Ivan Ezhov, Rajat Koner, Hongwei Li 0004, Florian Sebastian Kofler, Bjoern H. Menze. 320-331 [doi]
• Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty QuantificationRafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann. 332-349 [doi]
• Learning to Compare Longitudinal ImagesHeejong Kim, Mert R. Sabuncu. 350-367 [doi]
• Data Consistent Deep Rigid MRI Motion CorrectionNalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland. 368-381 [doi]
• Ultra-NeRF: Neural Radiance Fields for Ultrasound ImagingMagdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab. 382-401 [doi]
• Frozen Language Model Helps ECG Zero-Shot LearningJun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong. 402-415 [doi]
• An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlationYiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin. 416-425 [doi]
• A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as GraphsSoodeh Kalaie, Andrew J. Bulpitt, Alejandro F. Frangi, Ali Gooya. 426-443 [doi]
• Exploring Image Augmentations for Siamese Representation Learning with Chest X-RaysRogier van der Sluijs, Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay S. Chaudhari. 444-467 [doi]
• GeoLS: Geodesic Label Smoothing for Image SegmentationSukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert. 468-478 [doi]
• Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learningRicardo Mokhtari, Azam Hamidinekoo, Daniel James Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pål Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy. 479-495 [doi]
• Making Your First Choice: To Address Cold Start Problem in Medical Active LearningLiangyu Chen, Yutong Bai, Siyu Huang, Yongyi Lu, Bihan Wen, Alan L. Yuille, Zongwei Zhou. 496-525 [doi]
• Diffusion Models for Contrast Harmonization of Magnetic Resonance ImagesAlicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin. 526-551 [doi]
• Denoising Diffusion Models for Memory-efficient Processing of 3D Medical ImagesFlorentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin. 552-567 [doi]
• Robust Detection Outcome: A Metric for Pathology Detection in Medical ImagesFelix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert. 568-585 [doi]
• On-the-Fly Test-time Adaptation for Medical Image SegmentationJeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel 0001. 586-598 [doi]
• Reference-based MRI Reconstruction Using Texture TransformerPengfei Guo, Vishal M. Patel 0001. 599-616 [doi]
• SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT ReconstructionMarco Nittscher, Michael Falk Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass. 617-642 [doi]
• A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology ImagesZiqi Wen, Chuyang Ye. 643-652 [doi]
• Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale DeploymentAmanda Dy, Ngoc-Nhu Jennifer Nguyen, Seyed Hossein Mirjahanmardir, Dimitrios Androutsos, Melanie Dawe, Anthony Fyles, Wei Shi, Fei-Fei Liu, Susan Done, April Khademi. 653-665 [doi]
• ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image RepresentationsChinmay Prabhakar, Hongwei Li 0004, Jiancheng Yang, Suprosanna Shit, Benedikt Wiestler, Bjoern H. Menze. 666-679 [doi]
• MS-Former: Multi-Scale Self-Guided Transformer for Medical Image SegmentationSanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof. 680-694 [doi]
• Rotation-Scale Equivariant Steerable FiltersYilong Yang 0003, Srinandan Dasmahapatra, Sasan Mahmoodi. 695-715 [doi]
• DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-IdentificationLemuel Puglisi, Arman Eshaghi, Geoff J. M. Parker, Frederik Barkhof, Daniel C. Alexander, Daniele Ravì. 716-729 [doi]
• Deformable Image Registration with Geometry-informed Implicit Neural RepresentationsLouis D. van Harten, Rudolf Leonardus Mirjam Van Herten, Jaap Stoker, Ivana Isgum. 730-742 [doi]
• MTSR-MRI: Combined Modality Translation and Super-Resolution of Magnetic Resonance ImagesAvirup Dey, Mehran Ebrahimi. 743-757 [doi]
• Video pretraining advances 3D deep learning on chest CT tasksAlexander Ke, Shih-Cheng Huang, Chloe P. O'Connell, Michal Klimont, Serena Yeung, Pranav Rajpurkar. 758-774 [doi]
• Model Adaptive Tooth SegmentationRuizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu. 775-798 [doi]
• 3D Medical Axial Transformer: A Lightweight Transformer Model for 3D Brain Tumor SegmentationCheng Liu, Hisanor Kiryu. 799-813 [doi]
• Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusionShaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean C. Barratt, Yipeng Hu. 814-828 [doi]
• Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from ImagesNicholas Konz, Maciej A. Mazurowski. 829-845 [doi]
• MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learningLéo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou. 846-861 [doi]
• Joint cortical registration of geometry and function using semi-supervised learningJian Li 0033, Greta Tuckute, Evelina Fedorenko, Brian L. Edlow, Bruce Fischl, Adrian V. Dalca. 862-876 [doi]
• Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous DataYinsheng He, Xingyu Li. 877-887 [doi]
• Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable MeshesJiaqi Guo, Emanuel A. Azcona, Santiago Lopez Tapia, Aggelos K. Katsaggelos. 888-904 [doi]
• Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis InitiativeBoyeong Woo, Marlon Bran Lorenzana, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra. 905-917 [doi]
• Metadata-guided Consistency Learning for High Content ImagesJohan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith 0001. 918-936 [doi]
• Inherently Interpretable Multi-Label Classification Using Class-Specific CounterfactualsSusu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner. 937-956 [doi]
• Whole brain radiomics for clustered federated personalization in brain tumor segmentationMatthis Manthe, Stefan Duffner, Carole Lartizien. 957-977 [doi]
• Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report GenerationJaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Pranav Rajpurkar. 978-990 [doi]
• MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple SclerosisDimitrios Karkalousos, Ivana Isgum, Henk A. Marquering, Matthan W. A. Caan. 991-1005 [doi]
• Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervisionYanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang 0003, Chenfei Ye, Heather Ting Ma. 1006-1018 [doi]
• Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRIFinn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer. 1019-1032 [doi]
• Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRITamir Shor, Tomer Weiss 0002, Dor Noti, Alexander M. Bronstein. 1033-1050 [doi]
• Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathologyZongliang Ji, Philip Rosenfield, Christina Eng, Sarah Bettigole, Danielle C. Gibson, Hamid Masoudi, Matthew Hanna, Nicolò Fusi, Kristen A. Severson. 1051-1066 [doi]
• Spatial Correspondence between Graph Neural Network-Segmented ImagesQian Li, Yunguan Fu, Qianye Yang, Zhijiang Du, Hongjian Yu, Yipeng Hu. 1067-1084 [doi]
• Few Shot Hematopoietic Cell ClassificationVu Nguyen 0004, Prantik Howlader, Le Hou, Dimitris Samaras, Rajarsi R. Gupta, Joel H. Saltz. 1085-1103 [doi]
• Automatic 3D/2D Deformable Registration in Minimally Invasive Liver Resection using a Mesh Recovery NetworkMathieu Labrunie, Daniel Pizarroi 0001, Christophe Tilmant, Adrien Bartoli. 1104-1123 [doi]
• Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical contextLeon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang 0004, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, Bennett A. Landman. 1124-1143 [doi]
• MMCFormer: Missing Modality Compensation Transformer for Brain Tumor SegmentationSanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Saeed Ebadollahi, Dorit Merhof. 1144-1162 [doi]
• Prior Guided 3D Medical Image Landmark LocalizationYijie Pang, Pujin Cheng, Junyan Lyu, Fan Lin, Xiaoying Tang 0001. 1163-1175 [doi]
• Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial TrainingKudaibergen Abutalip, Numan Saeed, Mustaqeem Khan, Abdulmotaleb El-Saddik. 1176-1198 [doi]
• Addressing Chest Radiograph Projection Bias in Deep Classification ModelsSofia Cardoso Pereira, Joana Rocha, Alex Gaudio, Asim Smailagic, Aurélio Campilho, Ana Maria Mendonça. 1199-1210 [doi]
• Calibration techniques for node classification using graph neural networks on medical image dataIris N. Vos, Ishaan Bhat, Birgitta K. Velthuis, Ynte Ruigrok, Hugo J. Kuijf. 1211-1224 [doi]
• Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical DataOleksii Bashkanov, Marko Rak, Lucas Engelage, Christianus Hansen. 1225-1238 [doi]
• Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement PredictionTianyu Hwang, Chih-Hung Wang, Holger R. Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang. 1239-1253 [doi]
• 2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating RoomIdris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav, Didier Mutter, Nicolas Padoy, Omid Mohareri. 1254-1268 [doi]
• Reproducibility of Training Deep Learning Models for Medical Image AnalysisJoeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman. 1269-1287 [doi]
• Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation ConstraintsRudolf Leonardus Mirjam Van Herten, Louis D. van Harten, Nils Planken, Ivana Isgum. 1288-1303 [doi]
• Improved multi-site Parkinson's disease classification using neuroimaging data with counterfactual inferenceVibujithan Vigneshwaran, Matthias Wilms, Milton Ivan Camacho, Raissa Souza, Nils D. Forkert. 1304-1317 [doi]
• DBGSL: Dynamic Brain Graph Structure LearningAlexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Lio. 1318-1345 [doi]
• DBGDGM: Dynamic Brain Graph Deep Generative ModelAlexander Campbell, Simeon Emilov Spasov, Nicola Toschi, Pietro Lio. 1346-1371 [doi]
• TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution TestingDebesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci. 1372-1384 [doi]
• Radiology Reports Improve Visual Representations Learned from RadiographsHaoxu Huang, Samyak Rawlekar, Sumit Chopra, Cem M. Deniz. 1385-1405 [doi]
• Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesisShunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui 0006, Leon Yichen Cai, Kaiwen Xu, Xin Yu 0002, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo. 1406-1422 [doi]
• SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image ReconstructionNagaGayathri Matcha, Sriprabha Ramanarayanan, Mohammad Al Fahim, Rahul G. S., Keerthi Ram, Mohanasankar Sivaprakasam. 1423-1440 [doi]
• Federated Cross Learning for Medical Image SegmentationXuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, James J. Xia, Pingkun Yan. 1441-1452 [doi]
• Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image AnalysisRaghav Mehta, Changjian Shui, Tal Arbel. 1453-1492 [doi]
• FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-raysMatthias Keicher, Kamilia Zaripova, Tobias Czempiel, Kristina Mach, Ashkan Khakzar, Nassir Navab. 1493-1508 [doi]
• A comparative evaluation of image-to-image translation methods for stain transfer in histopathologyIgor Zingman, Sergio Frayle, Ivan Tankoyeu, Sergey Sukhanov, Fabian Heinemann. 1509-1525 [doi]
• Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image SegmentationMd Mostafijur Rahman, Radu Marculescu. 1526-1544 [doi]
• Evaluating Adversarial Robustness of Low dose CT RecoveryKanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller 0001. 1545-1563 [doi]
• OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided SurgeryTrevor Seets, Wei Lin, Yizhou Lu, Christie Lin, Adam Uselmann, Andreas Velten. 1564-1580 [doi]
• Inherent Consistent Learning for Accurate Semi-supervised Medical Image SegmentationYe Zhu, Jie Yang, Siqi Liu, Ruimao Zhang. 1581-1601 [doi]
• Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic ConsistencyJie Yang, Ye Zhu, Chaoqun Wang, Zhen Li, Ruimao Zhang. 1602-1622 [doi]
• MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelJunDe Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu 0001. 1623-1639 [doi]
• TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancerBaoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema. 1640-1654 [doi]
• Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image ClassificationLitao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, ZongYuan Ge. 1655-1665 [doi]
• FUSQA: Fetal Ultrasound Segmentation Quality AssessmentSevim Cengiz, Ibrahim Almakky, Mohammad Yaqub. 1666-1679 [doi]
• SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone ClassificationWei Zhu 0015, Runtao Zhou, Yuan Yao, Timothy Douglas Campbell, Rajat Kumar Jain, Jiebo Luo. 1680-1690 [doi]
• Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale ConnectomicsHao Zhai, Jing Liu, Bei Hong, Jiazheng Liu, Qiwei Xie, Hua Han 0001. 1691-1712 [doi]
• Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent SpaceMolin Zhang, Junshen Xu, Yamin Arefeen, Elfar Adalsteinsson. 1713-1725 [doi]
• On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image DiagnosisDivyam Madaan, Daniel K. Sodickson, KyungHyun Cho, Sumit Chopra. 1726-1750 [doi]
• Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imagingGuangyao Zheng, Samson Zhou, Vladimir Braverman, Michael A. Jacobs, Vishwa Sanjay Parekh. 1751-1764 [doi]
• Domain adaptation using optimal transport for invariant learning using histopathology datasetsKianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh. 1765-1782 [doi]
• One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter HyperintensitiesNicolas Pinon, Robin Trombetta, Carole Lartizien. 1783-1797 [doi]
• MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance ImagingYuanyuan Wei 0001, Roger C. Tam, Xiaoying Tang 0001. 1798-1812 [doi]
• A deep learning method trained on synthetic data for digital breast tomosynthesis reconstructionArnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal. 1813-1825 [doi]
• A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph imagesYanru Chen, Michael T. Lu, Vineet K. Raghu. 1826-1858 [doi]
• nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkersJoey Spronck, Thijs Gelton, Leander van Eekelen, Joep Bogaerts, Leslie Tessier, Mart van Rijthoven, Lieke van der Woude, Michel van den Heuvel, Willemijn Theelen, Jeroen van der Laak, Francesco Ciompi. 1859-1874 [doi]
• Estimating Uncertainty in PET Image Reconstruction via Deep Posterior SamplingTin Vlasic, Tomislav Matulic, Damir Sersic. 1875-1894 [doi]
• Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRIOwen Crystal, April Khademi, Alan R. Moody, Pejman Jahbedar Maralani, Sandra E. Black. 1895-1909 [doi]
• Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from ImagesJanmesh Ukey, Shireen Y. Elhabian. 1910-1922 [doi]
• Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRIAbdollah Ghazvanchahi, Pejman Jahbedar Maralani, Alan R. Moody, April Khademi. 1923-1940 [doi]