Table of Contents

• Preface for International Conference on Medical Imaging with Deep Learning 2024Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus. [doi]
• A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray ClassificationMuhammad Muneeb Afzal, Muhammad Osama Khan, Yi Fang 0006. 1-16 [doi]
• Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging StudiesNouman Ahmad, Johan Öfverstedt, Sambit Tarai, Göran Bergström, Håkan Ahlström, Joel Kullberg. 17-32 [doi]
• Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging SegmentationJulia Alekseenko, Alexandros Karargyris, Nicolas Padoy. 33-47 [doi]
• FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluidsJulia Andresen, Jan Ehrhardt, Claus von der Burchard, Ayse Tatli, Johann Roider, Heinz Handels, Hristina Uzunova. 48-60 [doi]
• HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation HistopathologyElias Baumann, Bastian Dislich, Josef Lorenz Rumberger, Iris D. Nagtegaal, María Rodríguez Martínez, Inti Zlobec. 61-86 [doi]
• Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIsFinn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer. 87-102 [doi]
• GazeDiff: A radiologist visual attention guided diffusion model for zero-shot disease classificationMoinak Bhattacharya, Prateek Prasanna. 103-118 [doi]
• Network conditioning for synergistic learning on partial annotationsBenjamin Billot, Neel Dey, Esra Abaci Turk, Ellen Grant, Polina Golland. 119-130 [doi]
• There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image AnalysisChristopher Boland, Keith A. Goatman, Sotirios A. Tsaftaris, Sonia Dahdouh. 131-150 [doi]
• Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture DiagnosisLukas Buess, Marijn F. Stollenga, David Schinz, Benedikt Wiestler, Jan Kirschke, Andreas K. Maier, Nassir Navab, Matthias Keicher. 151-167 [doi]
• Evaluating ChatGPT's Performance in Generating and Assessing Dutch Radiology Report ImpressionsLuc Builtjes, Monique Brink, Souraya Belkhir, Bram van Ginneken, Alessa Hering. 168-183 [doi]
• Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal ConsistencyArunava Chakravarty, Taha Emre, Dmitrii A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic. 184-198 [doi]
• Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific SegmentationAlexander Chebykin, Peter A. N. Bosman, Tanja Alderliesten. 199-219 [doi]
• Learned morphological features guide cell type assignment of deconvolved spatial transcriptomicsEduard Chelebian, Christophe Avenel, Julio León, Chung-Chau Hon, Carolina Wählby. 220-233 [doi]
• FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT DenoisingXuhang Chen 0003, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin. 234-249 [doi]
• MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of BlastocystYi Cheng, Tingting Chen 0002, Yaojun Hu, Xiangqian Meng, Zuozhu Liu, Danny Chen 0001, Jian Wu 0001, Haochao Ying. 250-262 [doi]
• Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-raysYeongjae Cho, Taehee Kim, Heejun Shin, Sungzoon Cho, Dongmyung Shin. 263-275 [doi]
• Finite Volume Informed Graph Neural Network for Myocardial Perfusion SimulationRaoul Sallé de Chou, Matthew Sinclair, Sabrina R. Lynch, Nan Xiao, Laurent Najman, Irene E. Vignon-Clementel, Hugues Talbot. 276-288 [doi]
• The Multiscale Surface Vision TransformerSimon Dahan, Logan Zane John Williams, Daniel Rueckert, Emma Claire Robinson. 289-305 [doi]
• Spatio-Temporal Encoding of Brain Dynamics with Surface Masked AutoencodersSimon Dahan, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Emma Claire Robinson. 306-325 [doi]
• Video Polyp Segmentation using Implicit NetworksAviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf. 326-337 [doi]
• An unexpected confounder: how brain shape can be used to classify MRI scans ?Valentine Wargnier-Dauchelle, Thomas Grenier, Michaël Sdika. 338-351 [doi]
• Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron SegmentationMéghane Decroocq, Binbin Xu 0002, Katherine L. Thompson-Peer, Adrian Moore 0003, Henrik Skibbe. 352-366 [doi]
• Multimodal Image Registration Guided by Few Segmentations from One ModalityBasar Demir, Marc Niethammer. 367-390 [doi]
• Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image SegmentationTanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis P. Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu. 391-405 [doi]
• Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed OpportunityRaman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales. 406-425 [doi]
• Predicting DNA Content Abnormalities in Barrett's Esophagus: A Weakly Supervised Learning ParadigmCaner Ercan, Xiaoxi Pan, Thomas G. Paulson, Matthew D. Stachler, Carlo C. Maley, William M. Grady, Yinyin Yuan. 426-438 [doi]
• DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual ExplanationsNima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel. 439-451 [doi]
• Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis SubtypingRutger R. H. Fick, Christof Bertram, Marc Aubreville. 452-464 [doi]
• HARP: Unsupervised Histopathology Artifact RestorationMoritz Fuchs, Ssharvien Kumar R. Sivakumar, Mirko Schöber, Niklas Woltering, Marie-Lisa Eich, Leonille Schweizer, Anirban Mukhopadhyay 0003. 465-479 [doi]
• Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information MeasureBernhard Föllmer, Kenrick Schulze, Christian Wald, Sebastian Stober, Wojciech Samek, Marc Dewey. 480-503 [doi]
• Structure Size as Confounder in Uncertainty Based Segmentation Quality PredictionKai Geißler, Jochen G. Hirsch, Stefan Heldmann, Hans Meine. 504-519 [doi]
• Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentationRobert Graf, Hendrik Kristian Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch, Matan Atad, Suprosanna Shit, Bjoern H. Menze, Mark Mühlau, Johannes C. Paetzold, Daniel Rueckert, Jan Kirschke. 520-537 [doi]
• Multi-Objective Learning for Deformable Image RegistrationMonika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten. 538-553 [doi]
• Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimationHanxue Gu, Roy J. Colglazier, Jikai Zhang, Robert Lark, Benjamin Alman, Maciej A. Mazurowski. 554-576 [doi]
• REINDIR: Repeated Embedding Infusion for Neural Deformable Image RegistrationLouis D. van Harten, Rudolf Leonardus Mirjam Van Herten, Ivana Isgum. 577-595 [doi]
• Implicit neural obfuscation for privacy preserving medical image sharingMattias P. Heinrich, Lasse Hansen. 596-609 [doi]
• Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray ClassificationKatharina V. Hoebel, Jesseba Fernando, William Lotter. 610-640 [doi]
• ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image SegmentationJiesi Hu, Yang Shang, Yanwu Yang, Xutao Guo, Hanyang Peng, Ting Ma. 641-656 [doi]
• A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic strokeSofia Vargas Ibarra, Vincent Vigneron, Sonia Garcia-Salicetti, Hichem Maaref, Jonathan Kobold, Nicolas Chausson, Yann L'Hermitte, Didier Smadja. 657-671 [doi]
• Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functionsMohammad Mohaiminul Islam, Coen de Vente, Bart Liefers, Caroline Klaver, Erik J. Bekkers, Clara I. Sánchez. 672-693 [doi]
• Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive LearningSanaz Jarimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof. 694-707 [doi]
• Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentationJue Jiang, Harini Veeraraghavan. 708-721 [doi]
• Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image SegmentationJun Jiang, Shi Gu. 722-741 [doi]
• Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for RadiotherapyAmith Kamath, Zahira Maur, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Nicolaus Andratschke, Mauricio Reyes 0001. 742-753 [doi]
• ASMR: Angular Support for Malfunctioning Client Resilience in Federated LearningMirko Konstantin, Moritz Fuchs, Anirban Mukhopadhyay 0003. 754-767 [doi]
• Real-time MR-based 3D motion monitoring using raw k-space dataMarius Krusen, Floris Ernst. 768-781 [doi]
• Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-DiffusionThijs P. Kuipers, Praneeta Konduri, Henk A. Marquering, Erik J. Bekkers. 782-792 [doi]
• Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient PopulationsPranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul H. Yi, Vishwa Sanjay Parekh. 793-821 [doi]
• Registration Quality Evaluation Metric with Self-Supervised Siamese NetworksTanvi Kulkarni, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam. 822-840 [doi]
• Efficiently correcting patch-based segmentation errors to control image-level performance in retinal imagesPatrick Köhler, Jeremiah Fadugba, Philipp Berens, Lisa M. Koch. 841-856 [doi]
• Heterogeneous Medical Data Integration with Multi-Source StyleGANWei-Cheng Lai, Matthias Kirchler, Hadya Yassin, Jana Fehr, Alexander Rakowski, Hampus Olsson, Ludger Starke, Jason Michael Millward, Sonia Waiczies, Christoph Lippert. 857-887 [doi]
• From Barlow Twins to Triplet Training: Differentiating Dementia with Limited DataYitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger. 888-902 [doi]
• Detecting Brain Anomalies in Clinical Routine with the β-VAE: Feasibility Study on Age-Related White Matter HyperintensitiesSophie Loizillon, Yannick Jacob, Aurélien Maire, Didier Dormont, Olivier Colliot, Ninon Burgos, Apprimage Study Group. 903-917 [doi]
• SepVAE: a contrastive VAE to separate pathological patterns from healthy onesRobin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori. 918-936 [doi]
• Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge DistillationLennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer. 937-948 [doi]
• Automated ranking of chest x-ray radiological finding severity in a binary label settingMatthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Vicky Goh, Giovanni Montana. 949-963 [doi]
• Training-free Prompt Placement by Propagation for SAM Predictions in Bone CT ScansCaroline Magg, Lukas P. E. Verweij, Maaike A. ter Wee, George S. Buijs, Johannes G. G. Dobbe, Geert J. Streekstra, Leendert Blankevoort, Clara I. Sánchez. 964-985 [doi]
• Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical VideoKarel G. M. Moens, Jonas De Vylder, Matthew B. Blaschko, Tinne Tuytelaars. 986-1010 [doi]
• IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosisCarl Molnar, Thomas E. Tavolara, Christopher A. Garcia, David S. McClintock, Mark D. Zarella, Wenchao Han. 1011-1025 [doi]
• RADR: A Robust Domain-Adversarial-based Framework for Automated Diabetic Retinopathy Severity ClassificationSara Mínguez Monedero, Fabian Westhaeusser, Ehsan Yaghoubi, Simone Frintrop, Marina Zimmermann. 1026-1039 [doi]
• ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing ModalitiesJulie Mordacq, Léo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton. 1040-1055 [doi]
• Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus imagesEugenia Moris, Ignacio Larrabide, José Ignacio Orlando. 1056-1072 [doi]
• Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant FeaturesAbbas Omidi, Amirmohammad Shamaei, Anouk Verschuu, Regan King, Lara Leijser, Roberto Souza 0001. 1073-1085 [doi]
• Resolution and Field of View Invariant Generative Modelling with Latent Diffusion ModelsAshay Patel, Mark S. Graham, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso. 1086-1097 [doi]
• Unsupervised Deep Learning Method for Bias CorrectionMaria Perez-Caballero, Sergio Morell-Ortega, Marina Ruiz-Perez, Pierrick Coupé, José V. Manjón. 1098-1106 [doi]
• Annotation-Efficient Strategy for Segmentation of 3D Body CompositionLena Philipp, Maarten de Rooij, John Hermans, Matthieu Rutten, Horst Karl Hahn, Bram van Ginneken, Alessa Hering. 1107-1127 [doi]
• Cell-DETR: Efficient cell detection and classification in WSIs with transformersOscar Pina, Eduard Dorca, Verónica Vilaplana. 1128-1141 [doi]
• Exploring Transfer Learning in Medical Image Segmentation using Vision-Language ModelsKanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal. 1142-1165 [doi]
• NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide ClassificationQiehe Sun, Doukou Jiang, Jiawen Li, Renao Yan, Yonghong He, Tian Guan, Zhiqiang Cheng. 1166-1178 [doi]
• Slide-SAM: Medical SAM Meets Sliding WindowQuan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou. 1179-1195 [doi]
• UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-trainingAimon Rahman, Vishal M. Patel. 1196-1206 [doi]
• UnCLe SAM: Unleashing SAM's Potential for Continual Prostate MRI SegmentationAmin Ranem, Mohamed Afham Mohamed Aflal, Moritz Fuchs, Anirban Mukhopadhyay 0003. 1207-1220 [doi]
• Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto EncoderKumari Rashmi, Ayantika Das, NagaGayathri Matcha, Keerthi Ram, Mohanasankar Sivaprakasam. 1221-1236 [doi]
• Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonanceHabib Rebbah, Magalie Viallon, Pierre Croisille, Timothé Boutelier. 1237-1256 [doi]
• Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion modelsTianyi Ren, Abhishek Sharma, Juampablo Heras Rivera, Lakshmi Harshitha Rebala, Ethan Honey, Agamdeep Chopra, Mehmet Kurt. 1257-1266 [doi]
• Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray ClassificationIsabel Rio-Torto, Jaime S. Cardoso 0001, Luís Filipe Teixeira 0001. 1267-1281 [doi]
• Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset ScenariosMariia Rizhko, Lauren Erdman, Mandy Rickard, Kunj Sheth, Daniel Alvarez, Kyla N. Velear, Megan A. Bonnett, Christopher S. Cooper, Gregory E. Tasian, John Weaver, Alice X. Xiang, Armando J. Lorenzo, Anna Goldenberg. 1282-1296 [doi]
• Anomaly-focused Single Image Super-resolution with Artifact Removal for Chest X-rays using Distribution-aware Diffusion ModelDattatreyo Roy, Angshuman Paul. 1297-1309 [doi]
• MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language ModelsCorentin Royer, Bjoern H. Menze, Anjany Sekuboyina. 1310-1327 [doi]
• Diffusion X-ray image denoisingDaniel Sanderson, Pablo M. Olmos, Carlos Fernandez del Cerro, Manuel Desco, Mónica Abella. 1328-1340 [doi]
• Imbalance-aware loss functions improve medical image classificationDaniel Scholz 0005, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler. 1341-1356 [doi]
• A Patch-based Student-Teacher Pyramid Matching Approach to Anomaly Detection in 3D Magnetic Resonance ImagingJohannes Schwarz, Lena Will, Jörg Wellmer, Axel Mosig. 1357-1370 [doi]
• Dense Self-Supervised Learning for Medical Image SegmentationMaxime Seince, Loïc Le Folgoc, Luiz Augusto Facury de Souza, Elsa D. Angelini. 1371-1386 [doi]
• Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAMTal Shaharabany, Lior Wolf. 1387-1400 [doi]
• Lupus Nephritis Subtype Classification with only Slide Level LabelsAmit Sharma, Ekansh Chauhan, Megha S. Uppin, Liza Rajasekhar, C. V. Jawahar, P. K. Vinod. 1401-1411 [doi]
• Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric SegmentationJiachen Shen, Wenxuan Wang 0002, Chen Chen 0001, Jianbo Jiao, Jing Liu 0001, Yan Zhang, Shanshan Song, Jiangyun Li. 1412-1433 [doi]
• ThickV-Stain: Unprocessed Thick Tissues Virtual Staining for Rapid Intraoperative HistologyLulin Shi, Xingzhong Hou, Ivy H. M. Wong, Simon C. K. Chan, Zhenghui Chen, Claudia T. K. Lo, Terence T. W. Wong. 1434-1447 [doi]
• Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-LabelingYasin Shokrollahi, Karina Pinao Gonzales, Maria Esther Salvatierra, Simon P. Castillo, Tanishq Gautam, Pingjun Chen, Leticia Rodriguez, Sara Ranjbar, Patient Mosaic Team, Luisa Solis-Soto, Yinyin Yuan, Xiaoxi Pan. 1448-1461 [doi]
• SINR: Spline-enhanced implicit neural representation for multi-modal registrationVasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert. 1462-1474 [doi]
• [Citation needed] Data usage and citation practices in medical imaging conferencesThéo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina. 1475-1496 [doi]
• Analysis of Transformers for Medical Image RetrievalArvapalli Sai Susmitha, Vinay P. Namboodiri. 1497-1512 [doi]
• Nuclei Segmentation in Histopathological Images with Enhanced U-Net3+Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko. 1513-1530 [doi]
• Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domainsRobin Trombetta, Olivier Rouvière, Carole Lartizien. 1531-1552 [doi]
• Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-trainingJeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang 0005, Ziyue Xu 0001, Can Zhao 0001, Wenqi Li 0001, Vishal M. Patel, Bennett Allan Landman, Daguang Xu, Yufan He, Vishwesh Nath. 1553-1570 [doi]
• VariViT: A Vision Transformer for Variable Image SizesAswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz 0005, Hongwei Bran Li, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler. 1571-1583 [doi]
• Shape of my heart: Cardiac models through learned signed distance functionsJan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland. 1584-1605 [doi]
• Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic strokeLucas de Vries, Rudolf Leonardus Mirjam Van Herten, Jan W. Hoving, Ivana Isgum, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Stratis Gavves. 1606-1626 [doi]
• Target and task specific source-free domain adaptive image segmentationVibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel. 1627-1639 [doi]
• Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep LearningJian Wang 0075, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour. 1640-1651 [doi]
• OFELIA: Optical Flow-based Electrode LocalIzAtionXinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou. 1652-1669 [doi]
• Skin Malignancy Classification Using Patients' Skin Images and Meta-data: Multimodal Fusion for Improving FairnessKe Wang, Ningyuan Shan, Henry Gouk, Iris Szu-Szu Ho. 1670-1686 [doi]
• Medical diffusion on a budget: Textual Inversion for medical image generationBram De Wilde, Anindo Saha, Maarten de Rooij, Henkjan Huisman, Geert Litjens 0001. 1687-1706 [doi]
• IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pupJiqing Wu, Ingrid Berg, Viktor H. Koelzer. 1707-1724 [doi]
• Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline ApproachAnna M. Wundram, Paul Fischer, Stephan Wunderlich, Hanna Faber, Lisa M. Koch, Philipp Berens, Christian F. Baumgartner. 1725-1740 [doi]
• Semi-Supervised Segmentation via Embedding MatchingWeiyi Xie, Nathalie Willems, Nikolas Lessmann, Tom Gibbons, Daniele De Massari. 1741-1753 [doi]
• Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned PairsBowen Xin, Tony Young, Claire E. Wainwright, Tamara Blake, Léo Lebrat, Thomas Gaass, Thomas Benkert, Alto Stemmer, David Coman, Jason Dowling. 1754-1770 [doi]
• Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentationWentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner 0001, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas. 1771-1784 [doi]
• Erase to Enhance: Data-Efficient Machine Unlearning in MRI ReconstructionYuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris. 1785-1800 [doi]
• Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer's Disease DataHadya Yassin, Jana Fehr, Wei-Cheng Lai, Alina Krichevsky, Alexander Rakowski, Christoph Lippert. 1801-1822 [doi]
• PAAN: Pyramid Attention Augmented Network for polyp segmentationSida Yi, Yuesheng Zhu, Guibo Luo. 1823-1840 [doi]
• Style Randomization Improves the Robustness of Breast Density Estimation in MR ImagesGoksenin Yuksel, Koen Eppenhof, Jaap Kroes, Marcel Worring. 1841-1850 [doi]
• Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationYe Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang. 1851-1861 [doi]
• Towards a Collective Medical Imaging AI: Enabling Continual Learning from PeersGuangyao Zheng, Vladimir Braverman, Jeffrey Leal, Steven Rowe, Doris G. Leung, Michael A. Jacobs, Vishwa Sanjay Parekh. 1862-1877 [doi]
• Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked TransformerMeng Zhou, Farzad Khalvati. 1878-1897 [doi]
• DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic SurgeryYuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine E. Davey. 1898-1926 [doi]
• Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital TwinsAlexander M. Zolotarev, Abbas Khan Rayabat Khan, Gregory G. Slabaugh, Caroline H. Roney. 1927-1938 [doi]