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Proceedings of Machine Learning Research

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Proceedings of Machine Learning Research

PMLR · 2026-05-29 · via Proceedings of Machine Learning Research

Volume 250: Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France

Editors: Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupe, Hervé Delingette, Carole Lartizien, Diana Mateus

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Preface for International Conference on Medical Imaging with Deep Learning 2024

Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupe, Hervé Delingette, Carole Lartizien, Diana Mateus; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:i-xviii

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A Comprehensive Benchmark of Supervised and Self-supervised Pre-training on Multi-view Chest X-ray Classification

; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1-16

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Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Nouman Ahmad, Johan Öfverstedt, Sambit Tarai, Göran Bergström, Håkan Ahlström, Joel Kullberg; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:17-32

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Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation

Julia Alekseenko, Alexandros Karargyris, Nicolas Padoy; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:33-47

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FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids

Julia Andresen, Jan Ehrhardt, Claus von der Burchard, Ayse Tatli, Johann Roider, Heinz Handels, Hristina Uzunova; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:48-60

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HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology

Elias Baumann, Bastian Dislich, Josef Lorenz Rumberger, Iris D. Nagtegaal, Maria Rodriguez Martinez, Inti Zlobec; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:61-86

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Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs

Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:87-102

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GazeDiff: A radiologist visual attention guided diffusion model for zero-shot disease classification

Moinak Bhattacharya, Prateek Prasanna; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:103-118

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Network conditioning for synergistic learning on partial annotations

Benjamin Billot, Neel Dey, Esra Abaci Turk, Ellen Grant, Polina Golland; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:119-130

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There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis

Christopher Boland, Keith A Goatman, Sotirios A. Tsaftaris, Sonia Dahdouh; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:131-150

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Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis

Lukas Buess, Marijn F. Stollenga, David Schinz, Benedikt Wiestler, Jan Kirschke, Andreas Maier, Nassir Navab, Matthias Keicher; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:151-167

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Evaluating ChatGPT’s Performance in Generating and Assessing Dutch Radiology Report Impressions

Luc Builtjes, Monique Brink, Souraya Belkhir, Bram van Ginneken, Alessa Hering; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:168-183

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Predicting Age-related Macular Degeneration Progression from Retinal Optical Coherence Tomography with Intra-Subject Temporal Consistency

Arunava Chakravarty, Taha Emre, Dmitrii Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunović; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:184-198

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Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation

Alexander Chebykin, Peter Bosman, Tanja Alderliesten; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:199-219

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Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics

Eduard Chelebian, Christophe Avenel, Julio Leon, Chung-Chau Hon, Carolina Wahlby; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:220-233

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FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising

Xuhang Chen, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:234-249

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MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst

Yi Cheng, Tingting Chen, Yaojun Hu, Xiangqian Meng, Zuozhu Liu, Danny Chen, Jian Wu, Haochao Ying; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:250-262

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Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays

Yeongjae Cho, Taehee Kim, Heejun Shin, Sungzoon Cho, Dongmyung Shin; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:263-275

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Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation

Raoul Sallé de Chou, Matthew Sinclair, Sabrina Lynch, Nan Xiao, Laurent Najman, Irene Vignon-Clementel, Hugues Talbot; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:276-288

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The Multiscale Surface Vision Transformer

Simon Dahan, Logan Zane John Williams, Daniel Rueckert, Emma Claire Robinson; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:289-305

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Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders

Simon Dahan, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Emma Claire Robinson; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:306-325

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Video Polyp Segmentation using Implicit Networks

Aviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:326-337

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An unexpected confounder: how brain shape can be used to classify MRI scans ?

Valentine Wargnier Dauchelle, Thomas Grenier, Michaël Sdika; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:338-351

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Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation

Meghane Decroocq, Binbin Xu, Katherine L Thompson-Peer, Adrian Moore, Henrik Skibbe; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:352-366

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Multimodal Image Registration Guided by Few Segmentations from One Modality

Basar Demir, Marc Niethammer; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:367-390

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Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation

Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:391-405

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Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity

Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy Hospedales; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:406-425

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Predicting DNA Content Abnormalities in Barrett’s Esophagus: A Weakly Supervised Learning Paradigm

Caner Ercan, Xiaoxi Pan, Thomas G. Paulson, Matthew D. Stachler, Carlo C. Maley, William M. Grady, Yinyin Yuan; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:426-438

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DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations

Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:439-451

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Improving CNN-Based Mitosis Detection through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping

Rutger RH Fick, Christof Bertram, Marc Aubreville; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:452-464

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HARP: Unsupervised Histopathology Artifact Restoration

Moritz Fuchs, Ssharvien Kumar R Sivakumar, Mirko Schöber, Niklas Woltering, Marie-Lisa Eich, Leonille Schweizer, Anirban Mukhopadhyay; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:465-479

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Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure

Bernhard Föllmer, Kenrick Schulze, Christian Wald, Sebastian Stober, Wojciech Samek, Marc Dewey; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:480-503

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Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction

Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Hans Meine; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:504-519

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Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation

Robert Graf, Hendrik Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch, Matan Atad, Suprosanna Shit, Bjoern Menze, Mark Mühlau, Johannes C. Paetzold, Daniel Rueckert, Jan Kirschke; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:520-537

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Multi-Objective Learning for Deformable Image Registration

Monika Grewal, Henrike Westerveld, Peter Bosman, Tanja Alderliesten; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:538-553

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Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation

Hanxue Gu, Roy Colglazier, Jikai Zhang, Robert Lark, Benjamin Alman, Maciej A Mazurowski; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:554-576

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REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration

Louis van Harten, Rudolf Leonardus Mirjam Van Herten, Ivana Isgum; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:577-595

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Implicit neural obfuscation for privacy preserving medical image sharing

Mattias P Heinrich, Lasse Hansen; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:596-609

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Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification

Katharina V Hoebel, Jesseba Fernando, William Lotter; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:610-640

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ICL-SAM: Synergizing In-context Learning Model and SAM in Medical Image Segmentation

Jiesi Hu, Yang Shang, Yanwu Yang, Xutao Guo, Hanyang Peng, Ting Ma; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:641-656

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A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic stroke

Sofia Vargas Ibarra, Vincent Martin VIGNERON, Sonia Garcia Salicetti, Hichem Maaref, Jonathan Kobold, Nicolas Chausson, Yann Lhermitte, Didier Smadja; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:657-671

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Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions

Mohammad Mohaiminul Islam, Coen de Vente, Bart Liefers, Caroline Klaver, Erik J Bekkers, Clara I. Sánchez; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:672-693

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Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning

Sanaz Jarimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:694-707

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Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation

Jue Jiang, Harini Veeraraghavan; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:708-721

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Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation

Jun Jiang, Shi Gu; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:722-741

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Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy

Amith Jagannath Kamath, Zahira Mercado Auf der Maur, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Nicolaus Andratschke, Mauricio Reyes; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:742-753

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ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning

Mirko Konstantin, Moritz Fuchs, Anirban Mukhopadhyay; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:754-767

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Real-time MR-based 3D motion monitoring using raw k-space data

Marius Krusen, Floris Ernst; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:768-781

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Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion

Thijs P. Kuipers, Praneeta R. Konduri, Henk Marquering, Erik J Bekkers; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:782-792

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Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations

Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul Yi, Vishwa Sanjay Parekh; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:793-821

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Registration Quality Evaluation Metric with Self-Supervised Siamese Networks

Tanvi Kulkarni, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:822-840

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Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images

Patrick Köhler, Jeremiah Fadugba, Philipp Berens, Lisa M. Koch; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:841-856

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Heterogeneous Medical Data Integration with Multi-Source StyleGAN

Wei-Cheng Lai, Matthias Kirchler, Hadya Yassin, Jana Fehr, Alexander Rakowski, Hampus Olsson, Ludger Starke, Jason M. Millward, Sonia Waiczies, Christoph Lippert; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:857-887

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From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data

Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl, Igor Yakushev, Dennis M. Hedderich, Christian Wachinger; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:888-902

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Detecting Brain Anomalies in Clinical Routine with the $β$-VAE: Feasibility Study on Age-Related White Matter Hyperintensities

Sophie Loizillon, Yannick Jacob, Maire Aurélien, Didier Dormont, Olivier Colliot, Ninon Burgos, Apprimage Study Group; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:903-917

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SepVAE: a contrastive VAE to separate pathological patterns from healthy ones

Robin Louiset, Edouard Duchesnay, Grigis Antoine, Benoit Dufumier, Pietro Gori; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:918-936

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Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation

Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:937-948

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Automated ranking of chest x-ray radiological finding severity in a binary label setting

Matthew Macpherson, Keerthini Muthuswamy, Ashik Amlani, Vicky Goh, Giovanni Montana; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:949-963

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Training-free Prompt Placement by Propagation for SAM Predictions in Bone CT Scans

Caroline Magg, Lukas P.E. Verweij, Maaike A. ter Wee, George S. Buijs, Johannes G.G. Dobbe, Geert J. Streekstra, Leendert Blankevoort, Clara I. Sánchez; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:964-985

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Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video

Karel Moens, Jonas De Vylder, Matthew B. Blaschko, Tinne Tuytelaars; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:986-1010

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IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis

Carl Molnar, Thomas E. Tavolara, Christopher A. Garcia, David S. McClintock, Mark D. Zarella, Wenchao Han; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1011-1025

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RADR: A Robust Domain-Adversarial-based Framework for Automated Diabetic Retinopathy Severity Classification

Sara Mı́nguez Monedero, Fabian Westhaeusser, Ehsan Yaghoubi, Simone Frintrop, Marina Zimmermann; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1026-1039

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ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities

Julie Mordacq, Leo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1040-1055

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Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images

Eugenia Moris, Ignacio Larrabide, José Ignacio Orlando; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1056-1072

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Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant Features

Abbas Omidi, Amirmohammad Shamaei, Anouk Verschuu, Regan King, Lara Leijser, Roberto Souza; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1073-1085

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Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models

Ashay Patel, Mark S Graham, Vicky Goh, Sebastien Ourselin, M. Jorge Cardoso; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1086-1097

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Unsupervised Deep Learning Method for Bias Correction

Maria Perez-Caballero, Sergio Morell-Ortega, Marina Ruiz Perez, Pierrick Coupe, Jose V Manjon; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1098-1106

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Annotation-Efficient Strategy for Segmentation of 3D Body Composition

Lena Philipp, Maarten de Rooij, John Hermans, Matthieu Rutten, Horst Karl Hahn, Bram van Ginneken, Alessa Hering; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1107-1127

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Cell-DETR: Efficient cell detection and classification in WSIs with transformers

Oscar Pina, Eduard Dorca, Veronica Vilaplana; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1128-1141

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Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models

Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1142-1165

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NcIEMIL: Rethinking Decoupled Multiple Instance Learning Framework for Histopathological Slide Classification

Sun Qiehe, Doukou Jiang, Jiawen Li, Renao Yan, Yonghong He, Tian Guan, Zhiqiang Cheng; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1166-1178

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Slide-SAM: Medical SAM Meets Sliding Window

Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S Kevin Zhou; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1179-1195

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UltraMAE: Multi-modal Masked Autoencoder for Ultrasound Pre-training

Aimon Rahman, Vishal M. Patel; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1196-1206

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UnCLe SAM: Unleashing SAM’s Potential for Continual Prostate MRI Segmentation

Amin Ranem, Mohamed Afham Mohamed Aflal, Moritz Fuchs, Anirban Mukhopadhyay; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1207-1220

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Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder

Kumari Rashmi, Ayantika Das, NagaGayathri Matcha, Keerthi Ram, Mohanasankar Sivaprakasam; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1221-1236

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Deep blind arterial input function: signal correction in perfusion cardiac magnetic resonance

Habib Rebbah, Magalie Viallon, Pierre Croisille, Timothé Boutelier; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1237-1256

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Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models

Tianyi Ren, Abhishek Sharma, Juampablo E Heras Rivera, Lakshmi Harshitha Rebala, Ethan Honey, Agamdeep Chopra, Mehmet Kurt; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1257-1266

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Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification

Isabel Rio-Torto, Jaime S Cardoso, Luis Filipe Teixeira; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1267-1281

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Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios

Mariia Rizhko, Lauren Erdman, Mandy Rickard, Kunj Sheth, Daniel Alvarez, Kyla N Velaer, Megan A. Bonnett, Christopher S. Cooper, Gregory E. Tasian, John Weaver, Alice Xiang, Armando J. Lorenzo, Anna Goldenberg; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1282-1296

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Anomaly-focused Single Image Super-resolution with Artifact Removal for Chest X-rays using Distribution-aware Diffusion Model

Dattatreyo Roy, Angshuman Paul; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1297-1309

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MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models

Corentin Royer, Bjoern Menze, Anjany Sekuboyina; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1310-1327

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Diffusion X-ray image denoising

Daniel Sanderson, Pablo M. Olmos, Carlos Fernández Del Cerro, Manuel Desco, Mónica Abella; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1328-1340

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Imbalance-aware loss functions improve medical image classification

Daniel Scholz, Ayhan Can Erdur, Josef A Buchner, Jan C Peeken, Daniel Rueckert, Benedikt Wiestler; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1341-1356

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A Patch-based Student-Teacher Pyramid Matching Approach to Anomaly Detection in 3D Magnetic Resonance Imaging

Johannes Schwarz, Lena Will, Jörg Wellmer, Axel Mosig; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1357-1370

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Dense Self-Supervised Learning for Medical Image Segmentation

Maxime Seince, Loı̈c Le Folgoc, Luiz Facury De Souza, Elsa Angelini; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1371-1386

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Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM

Tal Shaharabany, Lior Wolf; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1387-1400

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Lupus Nephritis Subtype Classification with only Slide Level Labels

Amit Sharma, Ekansh Chauhan, Megha S Uppin, Liza Rajasekhar, C.V. Jawahar, P K Vinod; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1401-1411

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Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation

Jiachen Shen, Wenxuan Wang, Chen Chen, Jianbo Jiao, Jing Liu, Yan Zhang, Shanshan Song, Jiangyun Li; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1412-1433

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ThickV-Stain: Unprocessed Thick Tissues Virtual Staining for Rapid Intraoperative Histology

Lulin Shi, Xingzhong Hou, Ivy H. M. Wong, Simon C. K. Chan, Zhenghui Chen, Claudia T. K. Lo, Terence T. W. Wong; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1434-1447

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Advancing Multiplex Immunofluorescence Imaging Cell Detection using Semi-Supervised Learning with Pseudo-Labeling

Yasin Shokrollahi, Karina Pinao Gonzales, Maria Esther Salvatierra, Simon P. Castillo, Tanishq Gautam, Pingjun Chen, B. Leticia Rodriguez, Sara Ranjbar, Patient Mosaic Team, Luisa Solis Soto, Yinyin Yuan, Xiaoxi Pan; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1448-1461

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SINR: Spline-enhanced implicit neural representation for multi-modal registration

Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1462-1474

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[Citation needed] Data usage and citation practices in medical imaging conferences

Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1475-1496

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Analysis of Transformers for Medical Image Retrieval

Arvapalli Sai Susmitha, Vinay P. Namboodiri; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1497-1512

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Nuclei Segmentation in Histopathological Images with Enhanced U-Net3+

Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1513-1530

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Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains

Robin Trombetta, Olivier Rouvière, Carole Lartizien; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1531-1552

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Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett Allan Landman, Daguang Xu, Yufan He, Vishwesh Nath; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1553-1570

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VariViT: A Vision Transformer for Variable Image Sizes

Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern Menze, Daniel Rueckert, Benedikt Wiestler; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1571-1583

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Shape of my heart: Cardiac models through learned signed distance functions

Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal, Thomas Pinetz, Rolf Krause, Angelo Auricchio, Gundolf Haase, Simone Pezzuto, Alexander Effland; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1584-1605

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Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke

Lucas de Vries, Rudolf Leonardus Mirjam Van Herten, Jan W. Hoving, Ivana Isgum, Bart Emmer, Charles B. Majoie, Henk Marquering, Stratis Gavves; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1606-1626

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Target and task specific source-free domain adaptive image segmentation

Vibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1627-1639

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Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning

Jian Wang, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1640-1651

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OFELIA: Optical Flow-based Electrode LocalIzAtion

Xinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S Kevin Zhou; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1652-1669

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Skin Malignancy Classification Using Patients’ Skin Images and Meta-data: Multimodal Fusion for Improving Fairness

Ke Wang, Ningyuan Shan, Henry Gouk, Iris Szu-Szu Ho; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1670-1686

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Medical diffusion on a budget: Textual Inversion for medical image generation

Bram de Wilde, Anindo Saha, Maarten de Rooij, Henkjan Huisman, Geert Litjens; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1687-1706

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IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup

Jiqing Wu, Ingrid Berg, Viktor Koelzer; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1707-1724

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Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach

Anna M. Wundram, Paul Fischer, Stephan Wunderlich, Hanna Faber, Lisa M. Koch, Philipp Berens, Christian F. Baumgartner; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1725-1740

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Semi-Supervised Segmentation via Embedding Matching

Weiyi Xie, Nathalie Willems, Nikolas Lessmann, Tom Gibbons, Daniele De Massari; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1741-1753

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Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs

Bowen Xin, Tony Young, Claire Wainwright, Tamara Blake, Leo Lebrat, Thomas Gaass, Thomas Benkert, Alto Stemmer, David Coman, Jason Dowling; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1754-1770

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Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation

Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner, Daniel Whitehouse, David Menon, Virginia Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1771-1784

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Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction

Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1785-1800

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Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer’s Disease Data.

Hadya Yassin, Jana Fehr, Wei-Cheng Lai, Alina Krichevsky, Alexander Rakowski, Christoph Lippert; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1801-1822

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PAAN: Pyramid Attention Augmented Network for polyp segmentation

Sida Yi, Yuesheng Zhu, Guibo Luo; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1823-1840

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Style Randomization Improves the Robustness of Breast Density Estimation in MR Images

Goksenin Yuksel, Koen Eppenhof, Jaap Kroes, Marcel Worring; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1841-1850

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Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation

Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1851-1861

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Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers

Guangyao Zheng, Vladimir Braverman, Jeffrey Leal, Steven Rowe, Doris Leung, Michael A. Jacobs, Vishwa Sanjay Parekh; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1862-1877

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Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer

Meng Zhou, Farzad Khalvati; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1878-1897

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DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery

Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine Davey; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1898-1926

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Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins

Alexander M. Zolotarev, Abbas Khan Rayabat Khan, Gregory Slabaugh, Caroline Roney; Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, PMLR 250:1927-1938

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