MIDL 2024

117 papers

[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

A Comprehensive Benchmark of Supervised and Self-Supervised Pre-Training on Multi-View Chest X-Ray Classification Muhammad Muneeb Afzal, Muhammad Osama Khan, Yi Fang

A Patch-Based Student-Teacher Pyramid Matching Approach to Anomaly Detection in 3D Magnetic Resonance Imaging Johannes Schwarz, Lena Will, Jörg Wellmer, Axel Mosig

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

Accelerating Physics-Informed Neural Fields for Fast CT Perfusion Analysis in Acute Ischemic Stroke Lucas Vries, Rudolf Leonardus Mirjam Van Herten, Jan W. Hoving, Ivana Isgum, Bart Emmer, Charles B. Majoie, Henk Marquering, Stratis Gavves

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

ADAPT: Multimodal Learning for Detecting Physiological Changes Under Missing Modalities Julie Mordacq, Leo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton

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

An Unexpected Confounder: How Brain Shape Can Be Used to Classify MRI Scans ? Valentine Wargnier Dauchelle, Thomas Grenier, Michaël Sdika

Analysis of Transformers for Medical Image Retrieval Arvapalli Sai Susmitha, Vinay P. Namboodiri

Annotation-Efficient Strategy for Segmentation of 3D Body Composition Lena Philipp, Maarten Rooij, John Hermans, Matthieu Rutten, Horst Karl Hahn, Bram Ginneken, Alessa Hering

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

Anomaly-Focused Single Image Super-Resolution with Artifact Removal for Chest X-Rays Using Distribution-Aware Diffusion Model Dattatreyo Roy, Angshuman Paul

ASMR: Angular Support for Malfunctioning Client Resilience in Federated Learning Mirko Konstantin, Moritz Fuchs, Anirban Mukhopadhyay

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

Automated Ranking of Chest X-Ray Radiological Finding Severity in a Binary Label Setting Matthew Macpherson, Keerthini Muthuswamy, Ashik Amlani, Vicky Goh, Giovanni Montana

Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification Katharina V Hoebel, Jesseba Fernando, William Lotter

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

Cell-DETR: Efficient Cell Detection and Classification in WSIs with Transformers Oscar Pina, Eduard Dorca, Veronica Vilaplana

Combining Reconstruction-Based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer

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 Maur, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Nicolaus Andratschke, Mauricio Reyes

Conditional Generation of 3D Brain Tumor Regions via VQGAN and Temporal-Agnostic Masked Transformer Meng Zhou, Farzad Khalvati

DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine Davey

DeCoDEx: Confounder Detector Guidance for Improved Diffusion-Based Counterfactual Explanations Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel

Deep Blind Arterial Input Function: Signal Correction in Perfusion Cardiac Magnetic Resonance Habib Rebbah, Magalie Viallon, Pierre Croisille, Timothé Boutelier

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

Dense Self-Supervised Learning for Medical Image Segmentation Maxime Seince, Loı̈c Le Folgoc, Luiz Facury De Souza, Elsa Angelini

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

Diffusion X-Ray Image Denoising Daniel Sanderson, Pablo M. Olmos, Carlos Fernández Del Cerro, Manuel Desco, Mónica Abella

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

Distance-Aware Non-IID Federated Learning for Generalization and Personalization in Medical Imaging Segmentation Julia Alekseenko, Alexandros Karargyris, Nicolas Padoy

Efficient Anatomy Segmentation in Laparoscopic Surgery Using Multi-Teacher Knowledge Distillation Lennart Maack, Finn Behrendt, Debayan Bhattacharya, Sarah Latus, Alexander Schlaefer

Efficiently Correcting Patch-Based Segmentation Errors to Control Image-Level Performance in Retinal Images Patrick Köhler, Jeremiah Fadugba, Philipp Berens, Lisa M. Koch

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction Yuyang Xue, Jingshuai Liu, Steven McDonagh, Sotirios A. Tsaftaris

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

Evaluating ChatGPT’s Performance in Generating and Assessing Dutch Radiology Report Impressions Luc Builtjes, Monique Brink, Souraya Belkhir, Bram Ginneken, Alessa Hering

Exploring Transfer Learning in Medical Image Segmentation Using Vision-Language Models Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal

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

FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising Xuhang Chen, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin

Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation Raoul Sallé Chou, Matthew Sinclair, Sabrina Lynch, Nan Xiao, Laurent Najman, Irene Vignon-Clementel, Hugues Talbot

FluidRegNet: Longitudinal Registration of Retinal OCT Images with New Pathological Fluids Julia Andresen, Jan Ehrhardt, Claus Burchard, Ayse Tatli, Johann Roider, Heinz Handels, Hristina Uzunova

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

GazeDiff: A Radiologist Visual Attention Guided Diffusion Model for Zero-Shot Disease Classification Moinak Bhattacharya, Prateek Prasanna

Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients Using Conditional Set-Diffusion Thijs P. Kuipers, Praneeta R. Konduri, Henk Marquering, Erik J Bekkers

HARP: Unsupervised Histopathology Artifact Restoration Moritz Fuchs, Ssharvien Kumar R Sivakumar, Mirko Schöber, Niklas Woltering, Marie-Lisa Eich, Leonille Schweizer, Anirban Mukhopadhyay

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

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

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

Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation Alexander Chebykin, Peter Bosman, Tanja Alderliesten

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

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

Imbalance-Aware Loss Functions Improve Medical Image Classification Daniel Scholz, Ayhan Can Erdur, Josef A Buchner, Jan C Peeken, Daniel Rueckert, Benedikt Wiestler

Implicit Neural Obfuscation for Privacy Preserving Medical Image Sharing Mattias P Heinrich, Lasse Hansen

Improving CNN-Based Mitosis Detection Through Rescanning Annotated Glass Slides and Atypical Mitosis Subtyping Rutger RH Fick, Christof Bertram, Marc Aubreville

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

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

IST-Editing: Infinite Spatial Transcriptomic Editing in a Generated Gigapixel Mouse Pup Jiqing Wu, Ingrid Berg, Viktor Koelzer

Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images via Deep Learning Jian Wang, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour

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

Learned Morphological Features Guide Cell Type Assignment of Deconvolved Spatial Transcriptomics Eduard Chelebian, Christophe Avenel, Julio Leon, Chung-Chau Hon, Carolina Wahlby

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

Lupus Nephritis Subtype Classification with Only Slide Level Labels Amit Sharma, Ekansh Chauhan, Megha S Uppin, Liza Rajasekhar, C.V. Jawahar, P K Vinod

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

Medical Diffusion on a Budget: Textual Inversion for Medical Image Generation Bram Wilde, Anindo Saha, Maarten Rooij, Henkjan Huisman, Geert Litjens

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

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

Multi-Objective Learning for Deformable Image Registration Monika Grewal, Henrike Westerveld, Peter Bosman, Tanja Alderliesten

Multi-Scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation Meghane Decroocq, Binbin Xu, Katherine L Thompson-Peer, Adrian Moore, Henrik Skibbe

MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models Corentin Royer, Bjoern Menze, Anjany Sekuboyina

Multimodal Image Registration Guided by Few Segmentations from One Modality Basar Demir, Marc Niethammer

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

Network Conditioning for Synergistic Learning on Partial Annotations Benjamin Billot, Neel Dey, Esra Abaci Turk, Ellen Grant, Polina Golland

Nuclei Segmentation in Histopathological Images with Enhanced U-Net3+ Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko

OFELIA: Optical Flow-Based Electrode LocalIzAtion Xinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S Kevin Zhou

PAAN: Pyramid Attention Augmented Network for Polyp Segmentation Sida Yi, Yuesheng Zhu, Guibo Luo

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy Hospedales

Parameter-Efficient Generation of Natural Language Explanations for Chest X-Ray Classification Isabel Rio-Torto, Jaime S Cardoso, Luis Filipe Teixeira

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

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

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

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

Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-Rays Yeongjae Cho, Taehee Kim, Heejun Shin, Sungzoon Cho, Dongmyung Shin

RADR: A Robust Domain-Adversarial-Based Framework for Automated Diabetic Retinopathy Severity Classification Sara Mı́nguez Monedero, Fabian Westhaeusser, Ehsan Yaghoubi, Simone Frintrop, Marina Zimmermann

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

Real-Time MR-Based 3D Motion Monitoring Using Raw K-Space Data Marius Krusen, Floris Ernst

Reducing Uncertainty in 3D Medical Image Segmentation Under Limited Annotations Through Contrastive Learning Sanaz Jarimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Dorit Merhof

Registration Quality Evaluation Metric with Self-Supervised Siamese Networks Tanvi Kulkarni, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam

REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration Louis Harten, Rudolf Leonardus Mirjam Van Herten, Ivana Isgum

Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models Ashay Patel, Mark S Graham, Vicky Goh, Sebastien Ourselin, M. Jorge Cardoso

Self-Supervised Pretraining in the Wild Imparts Image Acquisition Robustness to Medical Image Transformers: An Application to Lung Cancer Segmentation Jue Jiang, Harini Veeraraghavan

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

Semi-Supervised Segmentation via Embedding Matching Weiyi Xie, Nathalie Willems, Nikolas Lessmann, Tom Gibbons, Daniele De Massari

SepVAE: A Contrastive VAE to Separate Pathological Patterns from Healthy Ones Robin Louiset, Edouard Duchesnay, Grigis Antoine, Benoit Dufumier, Pietro Gori

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

SINR: Spline-Enhanced Implicit Neural Representation for Multi-Modal Registration Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert

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

Slide-SAM: Medical SAM Meets Sliding Window Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S Kevin Zhou

Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders Simon Dahan, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Emma Claire Robinson

Structure Size as Confounder in Uncertainty Based Segmentation Quality Prediction Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Hans Meine

Style Randomization Improves the Robustness of Breast Density Estimation in MR Images Goksenin Yuksel, Koen Eppenhof, Jaap Kroes, Marcel Worring

Target and Task Specific Source-Free Domain Adaptive Image Segmentation Vibashan Vs, Jeya Maria Jose Valanarasu, Vishal M. Patel

The Multiscale Surface Vision Transformer Simon Dahan, Logan Zane John Williams, Daniel Rueckert, Emma Claire Robinson

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

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

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

Train Once, Deploy Anywhere: Edge-Guided Single-Source Domain Generalization for Medical Image Segmentation Jun Jiang, Shi Gu

Training-Free Prompt Placement by Propagation for SAM Predictions in Bone CT Scans Caroline Magg, Lukas P.E. Verweij, Maaike A. Wee, George S. Buijs, Johannes G.G. Dobbe, Geert J. Streekstra, Leendert Blankevoort, Clara I. Sánchez

UltraMAE: Multi-Modal Masked Autoencoder for Ultrasound Pre-Training Aimon Rahman, Vishal M. Patel

Uncertainty-Aware Retinal Layer Segmentation in OCT Through Probabilistic Signed Distance Functions Mohammad Mohaiminul Islam, Coen Vente, Bart Liefers, Caroline Klaver, Erik J Bekkers, Clara I. Sánchez

UnCLe SAM: Unleashing SAM’s Potential for Continual Prostate MRI Segmentation Amin Ranem, Mohamed Afham Mohamed Aflal, Moritz Fuchs, Anirban Mukhopadhyay

Unsupervised Deep Learning Method for Bias Correction Maria Perez-Caballero, Sergio Morell-Ortega, Marina Ruiz Perez, Pierrick Coupe, Jose V Manjon

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

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

Video Polyp Segmentation Using Implicit Networks Aviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf

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

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

Zero-Shot Medical Image Segmentation Based on Sparse Prompt Using Finetuned SAM Tal Shaharabany, Lior Wolf