Table of Contents

• Preface1-4 [doi]
• Explainability Guided COVID-19 Detection in CT ScansAmeen Ali, Tal Shaharabany, Lior Wolf. 5-21 [doi]
• Learning Shape Reconstruction from Sparse Measurements with Neural Implicit FunctionsTamaz Amiranashvili, David Lüdke, Hongwei Bran Li, Bjoern H. Menze, Stefan Zachow. 22-34 [doi]
• ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive SegmentationMuhammad Asad 0001, Lucas Fidon, Tom Vercauteren. 35-47 [doi]
• SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalitiesReza Azad, Nika Khosravi, Dorit Merhof. 48-62 [doi]
• On learning adaptive acquisition policies for undersampled multi-coil MRI reconstructionTim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis-Pineda. 63-85 [doi]
• Learning to Automatically Generate Accurate ECG CaptionsMathieu G. G. Bartels, Ivona Najdenkoska, Rutger R. van de Leur, Arjan Sammani, Karim Taha, David M. Knigge, Pieter A. F. M. Doevendans, Marcel Worring, René van Es. 86-102 [doi]
• Negative Evidence Matters in Interpretable Histology Image ClassificationSoufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luck McCaffrey, Eric Granger. 103-129 [doi]
• Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-raysBenjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert. 130-149 [doi]
• Bridging the Gap: Point Clouds for Merging Neurons in ConnectomicsJules Berman, Dmitri B. Chklovskii, Jingpeng Wu. 150-159 [doi]
• Position Regression for Unsupervised Anomaly DetectionFlorentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin. 160-172 [doi]
• Domain adaptation through anatomical constraints for 3d human pose estimation under the coverAlexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich. 173-187 [doi]
• Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object SegmentationRobin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne. 188-198 [doi]
• Holistic Modeling In Medical Image Segmentation Using Spatial RecurrenceJoão BS Carvalho, João A. Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M. Buhmann. 199-218 [doi]
• Automatic planning of liver tumor thermal ablation using deep reinforcement learningKrishna Chaitanya, Chloé Audigier, Laura Elena Balascuta, Tommaso Mansi. 219-230 [doi]
• TorchXRayVision: A library of chest X-ray datasets and modelsJoseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P. Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand. 231-249 [doi]
• Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and TransformationPedro Costa 0005, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso 0001. 250-260 [doi]
• SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEGJeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman. 261-281 [doi]
• Surface Vision Transformers: Attention-Based Modelling applied to Cortical AnalysisSimon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson. 282-303 [doi]
• Single Dynamic Network for Multi-label Renal Pathology Image SegmentationRuining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo. 304-314 [doi]
• CAD-RADS Scoring using Deep Learning and Task-Specific Centerline LabelingFelix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier. 315-324 [doi]
• VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI ReconstructionArjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari. 325-352 [doi]
• Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategiesAndrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni. 353-369 [doi]
• Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging dataAndrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni. 370-386 [doi]
• Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRIJoshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Arnold L. Douglas, Tal Arbel. 387-406 [doi]
• Practical uncertainty quantification for brain tumor segmentationMoritz Fuchs, Camila González, Anirban Mukhopadhyay 0003. 407-422 [doi]
• Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroupsLucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya. 423-440 [doi]
• i3Deep: Efficient 3D interactive segmentation with the nnU-NetKarol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay 0003. 441-456 [doi]
• Transformer-based out-of-distribution detection for clinically safe segmentationMark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso. 457-476 [doi]
• JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea DetectionHuaqing He, Li Lin 0006, Zhiyuan Cai, Xiaoying Tang 0001. 477-492 [doi]
• Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh ScansXiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng, Gaoang Wang, Zuozhu Liu. 493-507 [doi]
• TopoFit: Rapid Reconstruction of Topologically-Correct Cortical SurfacesAndrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas N. Greve, Adrian V. Dalca. 508-520 [doi]
• Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses NetworksTimo Horstmann, Oliver Zettinig, Wolfgang Wein, Raphael Prevost. 521-534 [doi]
• CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical ImagingMohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway, Jianming Liang. 535-551 [doi]
• Domain Generalization for Retinal Vessel Segmentation with Vector Field TransformerDewei Hu, Hao Li, Han Liu, Ipek Oguz. 552-564 [doi]
• Breathing Freely: Self-supervised Liver T1rho Mapping from A Single T1rho-weighted ImageChaoxing Huang, Yurui Qian, Jian Hou 0014, Baiyan Jiang, Queenie Chan, Vincent Wai-Sun Wong, Winne Chu, Weitian Chen. 565-575 [doi]
• AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture SearchZiyan Huang, Zehua Wang, Zhikai Yang, Lixu Gu. 576-589 [doi]
• Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum BiomarkersJustin Huynh, Samira Masoudi, Abraham Noorbakhsh, Kyle Hasenstab, Michael J. Pazzani, Albert Hsiao. 590-604 [doi]
• Diffeomorphic Image Registration Using Lipschitz Continuous Residual NetworksAnkita Joshi, Yi Hong. 605-617 [doi]
• FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network GenerationXuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang. 618-637 [doi]
• A Flexible Meta Learning Model for Image RegistrationFrederic Kanter, Jan Lellmann. 638-652 [doi]
• Denoising Autoencoders for Unsupervised Anomaly Detection in Brain MRIAntanas Kascenas, Nicolas Pugeault, Alison Q. O'Neil. 653-664 [doi]
• Deep Learning for Model Correction in Cardiac Electrophysiological ImagingVictoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant. 665-675 [doi]
• PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia LocalizationHyunwoo Kim, Hanbin Ko, Jungjun Kim. 676-688 [doi]
• Improving Explainability of Disentangled Representations using Multipath-Attribution MappingsLukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger. 689-712 [doi]
• Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic TomographyTobias Knopp 0001, Mirco Grosser. 713-725 [doi]
• Hidden in Plain Sight: Subgroup Shifts Escape OOD DetectionLisa M. Koch, Christian M. Schürch, Arthur Gretton, Philipp Berens. 726-740 [doi]
• Confidence Histograms for Model Reliability Analysis and Temperature CalibrationFarina Kock, Felix Thielke, Grzegorz Chlebus, Hans Meine. 741-759 [doi]
• A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of CardiomyocytesLars Leyendecker, Julius Haas, Tobias Piotrowski, Maik Frye, Cora Becker, Bernd K. Fleischmann, Michael Hesse, Robert H. Schmitt. 760-773 [doi]
• Vision Transformers Enable Fast and Robust Accelerated MRIKang Lin, Reinhard Heckel. 774-795 [doi]
• Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer DiagnosisJingya Liu, Bin Lou, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm 0002, Yingli Tian, Dorin Comaniciu, Ali Kamen. 796-807 [doi]
• Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image SegmentationHaozhe Luo, Changdong Yu, Raghavendra Selvan. 808-819 [doi]
• Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and TransformerXiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang. 820-833 [doi]
• Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional AutoencoderMatthew Lyon, Paul A. Armitage, Mauricio A. Álvarez. 834-846 [doi]
• Label conditioned segmentationTianyu Ma, Benjamin C. Lee, Mert R. Sabuncu. 847-857 [doi]
• MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision TransformersDwarikanath Mahapatra, ZongYuan Ge. 858-878 [doi]
• LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology ArchivesDanial Maleki, Hamid R. Tizhoosh. 879-894 [doi]
• Self-Supervised Transformers for fMRI representationItzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler. 895-913 [doi]
• On the Pitfalls of Using the Residual Error as Anomaly ScoreFelix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert. 914-928 [doi]
• Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-NetValentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior, Adrien Depeursinge. 929-943 [doi]
• Structural Networks for Brain Age PredictionOscar Pina, Irene Cumplido-Mayoral, Raffaele Cacciaglia, José María González-de-Echávarri, Juan Domingo Gispert, Verónica Vilaplana. 944-960 [doi]
• Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain AdaptationNavid Rabbani, Callyane Sève-d'Erceville, Nicolas Bourdel, Adrien Bartoli. 961-974 [doi]
• Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance LearningEkaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold. 975-987 [doi]
• Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?Saikat Roy, David Kügler, Martin Reuter 0001. 988-1004 [doi]
• Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub. 1005-1018 [doi]
• YAMU: Yet Another Modified U-Net Architecture for Semantic SegmentationPranab Samanta, Nitin Singhal. 1019-1033 [doi]
• Segmentation-Consistent Probabilistic Lesion CountingJulien Schroeter, Chelsea Myers-Colet, Douglas L. Arnold, Tal Arbel. 1034-1056 [doi]
• Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical DataAhmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber. 1057-1074 [doi]
• Learning Strategies for Contrast-agnostic Segmentation via SynthSeg for Infant MRI dataZiyao Shang, Md Asadullah Turja, Eric Feczko, Audrey Houghton, Amanda Rueter, Lucille A Moore, Kathy Snider, Timothy Hendrickson, Paul Reiners, Sally Stoyell, Omid Kardan, Monica Rosenberg, Jed T. Elison, Damien A. Fair, Martin A. Styner. 1075-1084 [doi]
• Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI DataKuruparan Shanmugalingam, Arcot Sowmya, Daniel Aaron Moses, Erik Meijering. 1085-1095 [doi]
• Unsupervised Domain Adaptation for Medical Image Segmentation via Self-Training of Early FeaturesRasha Sheikh, Thomas Schultz 0001. 1096-1107 [doi]
• Self-Supervised Representation Learning for High-Content ScreeningDaniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele. 1108-1124 [doi]
• MRI bias field correction with an implicitly trained CNNAttila Simkó, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson. 1125-1138 [doi]
• Speckle and Shadows: Ultrasound-specific Physics-based Data Augmentation for Kidney SegmentationRohit Singla, Cailin Ringstrom, Ricky Hu, Victoria A. Lessoway, Janice Reid, Robert Rohling, Christophe Y. Nguan. 1139-1148 [doi]
• Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub. 1149-1161 [doi]
• MAF-Net: Multi-branch Anchor-Free Detector for Polyp Localization and Classification in ColonoscopyXinzi Sun, Dechun Wang, Qilei Chen, Jing Ni, Shuijiao Chen, Xiaowei Liu, Yu Cao 0002, Benyuan Liu. 1162-1172 [doi]
• Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View DataAnna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Perez-Cruz, Daniel Razansky. 1173-1191 [doi]
• OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain ShiftDevavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar. 1192-1217 [doi]
• Efficient tool segmentation for endoscopic videos in the wildClara Tomasini, Iñigo Alonso, Luis Riazuelo, Ana C. Murillo. 1218-1234 [doi]
• Inference of captions from histopathological patchesMasayuki Tsuneki, Fahdi Kanavati. 1235-1250 [doi]
• An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell SegmentationSerban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg. 1251-1267 [doi]
• SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fractionSerge Vasylechko Didenko, Simon K. Warfield, Sila Kurugol, Onur Afacan. 1268-1284 [doi]
• Cell Anomaly Localisation using Structured Uncertainty Prediction NetworksBoyko Vodenicharski, Samuel McDermott, Katherine M. Webber, Viola Introini, Pietro Cicuta, Richard W. Bowman, Ivor J. A. Simpson, Neill D. F. Campbell. 1285-1300 [doi]
• MedSelect: Selective Labeling for Medical Image Classification Using Meta-LearningDamir Vrabac, Akshay Smit, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar. 1301-1310 [doi]
• EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware PseudocoloringRoyden Wagner, Karl Rohr. 1311-1321 [doi]
• Memory-efficient Segmentation of High-resolution Volumetric MicroCT ImagesYuan Wang, Laura Blackie, Irene Miguel-Aliaga, Wenjia Bai. 1322-1335 [doi]
• Diffusion Models for Implicit Image Segmentation EnsemblesJulia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin. 1336-1348 [doi]
• Implicit Neural Representations for Deformable Image RegistrationJelmer M. Wolterink, Jesse C. Zwienenberg, Christoph Brune. 1349-1359 [doi]
• Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance ImagesBoyeong Woo, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra. 1360-1374 [doi]
• Towards IID representation learning and its application on biomedical dataJiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer. 1375-1402 [doi]
• Learned Half-Quadratic Splitting Network for MR Image ReconstructionBingyu Xin, Timothy S. Phan, Leon Axel, Dimitris N. Metaxas. 1403-1412 [doi]
• Learning Morphological Feature Perturbations for Calibrated Semi-Supervised SegmentationMou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob. 1413-1429 [doi]
• Regularizing Brain Age Prediction via Gated Knowledge DistillationYanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma. 1430-1443 [doi]
• Unsupervised Domain Adaptation through Shape Modeling for Medical Image SegmentationYuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen 0002, Alan L. Yuille, Yongyi Lu. 1444-1458 [doi]
• Hierarchical Optimal Transport for Comparing Histopathology DatasetsAnna Yeaton, Rahul G. Krishnan, Rebecca J. Mieloszyk, David Alvarez-Melis, Grace Huynh. 1459-1469 [doi]
• Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement LearningSixing Yin, Yameng Han, Judong Pan, Yining Wang, Shufang Li. 1470-1481 [doi]
• KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint DetectionEvan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu. 1482-1503 [doi]
• Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised LearningWeicheng Zhu, Carlos Fernandez-Granda, Narges Razavian. 1504-1522 [doi]
• Region Aware Transformer for Automatic Breast Ultrasound Tumor SegmentationXiner Zhu, Haoji Hu, Hualiang Wang, Jincao Yao, Wei Li, Di Ou, Dong Xu. 1523-1537 [doi]