MIDL 2025

109 papers

4D-VQ-GAN: A World Model for Synthesizing Medical Scans at Any Time Point for Personalized Disease Progression Modeling of Idiopathic Pulmonary Fibrosis An Zhao, Moucheng Xu, Ahmed H. Shahin, Wim Wuyts, Mark G. Jones, Joseph Jacob, Daniel C. Alexander

A Balancing Act: Optimizing Classification and Retrieval in Cross-Modal Vision Models Judith Lefkes, Clément Grisi, Geert Litjens

A Knowledge-Based Method for Detecting Network-Induced Shape Artifacts in Synthetic Images Rucha Deshpande, Miguel Lago, Adarsh Subbaswamy, Seyed Kahaki, Jana G Delfino, Aldo Badano, Ghada Zamzmi

A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders Weifeng Yu, Gang Qu, Young-geun Kim, Lei Xu, Aiying Zhang

A Vision Foundation Model for Cataract Surgery Using Joint-Embedding Predictive Architecture Nisarg A Shah, Mingze Xia, Subhasri Vijay, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel

Advancing Medical Image Segmentation with Self-Supervised Learning: A 3D Student-Teacher Approach for Cardiac and Neurological Imaging Moona Mazher, Daniel C. Alexander, Abdul Qayyum, Steven A Niederer

Adversarial Perturbations Improve Generalization of Confidence Prediction in Medical Image Segmentation Jonathan Lennartz, Thomas Schultz

An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images Savannah Hays, Lianrui Zuo, Blake E. Dewey, Samuel Remedios, Jinwei Zhang, Ellen M. Mowry, Scott D. Newsome, Aaron Carass, Jerry L Prince

Anatomy-Guided Multi-Path CycleGAN for Lung CT Kernel Harmonization Aravind Krishnan, Thomas Li, Lucas Walker Remedios, Kaiwen Xu, Lianrui Zuo, Kim L. Sandler, Fabien Maldonado, Bennett Allan Landman

Anatomy-Guided Surface Diffusion Model for Alzheimer’s Disease Normative Modeling Jianwei Zhang, Yonggang Shi

Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-Ray Populations Louisa Fay, Jean-Benoit Delbrouck, Thomas Küstner, Bin Yang, Noel C Codella, Matthew P. Lungren, Curtis Langlotz, Sergios Gatidis

BinaryFormer: 1-Bit Self-Attention for Long-Range Transformers in Medical Image Segmentation and 3D Diffusion Models Mattias P Heinrich

Biologically-Constrained Multi-Label Classification with Learnable Domain Knowledge Nabil Mouadden, Véronique Vergé, Ahmadreza Arbab, Jean-Baptiste Micol, Elsa Bernard, Aline Renneville, Stergios Christodoulidis, Maria Vakalopoulou

Can Diffusion Models Generalize? Privacy and Fairness Trade-Offs for Medical Data Sharing. Mischa Dombrowski, Bernhard Kainz

Capturing Longitudinal Changes in Brain Morphology Using Temporally Parameterized Neural Displacement Fields. Aisha L. Shuaibu, Kieran A. Gibb, Peter A. Wijeratne, Ivor J A Simpson

Cardiac Computed Tomography Angiography Plane Prediction and Comprehensive LV Segmentation Davis Marc Vigneault, Ashish Manohar, Abraham Hernandez, Krista Tin Chi Wong, Fanwei Kong, Tea Gegenava, Koen Nieman, Dominik Fleischmann

CASC-AI: Consensus-Aware Self-Corrective Learning for Cell Segmentation with Noisy Labels Ruining Deng, Yihe Yang, David J Pisapia, Benjamin L Liechty, Junchao Zhu, Juming Xiong, Junlin Guo, Zhengyi Lu, Jiacheng Wang, Xing Yao, Runxuan Yu, Rendong Zhang, Gaurav Rudravaram, Mengmeng Yin, Pinaki Sarder, Haichun Yang, Yuankai Huo, Mert R. Sabuncu

Causal PETS: Causality-Informed PET Synthesis from Multi-Modal Data Yujia Li, Han Li, S Kevin Zhou

Chest-OMDL: Organ-Specific Multidisease Detection and Localization in Chest Computed Tomography Using Weakly Supervised Deep Learning from Free-Text Radiology Report Xuguang Bai, Mingxuan Liu, Yifei Chen, Hongjia Yang, Qiyuan Tian

Clinical Measurements with Calibrated Instance-Dependent Confidence Interval Rotem Nizhar, Lior Frenkel, Jacob Goldberger

Co-Distilled Attention Guided Masked Image Modeling with Noisy Teacher for Self-Supervised Learning on Medical Images Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan

Conditional Diffusion Models Are Medical Image Classifiers That Provide Explainability and Uncertainty for Free Gian Mario Favero, Parham Saremi, Emily Kaczmarek, Brennan Nichyporuk, Tal Arbel

Contrastive Patient-Level Pretraining Enables Longitudinal and Multimodal Fusion for Lung Cancer Risk Prediction Thomas Li, Lianrui Zuo, Yihao Liu, Aravind Krishnan, Kim L. Sandler, Thomas A Lasko, Fabien Maldonado, Bennett Allan Landman

CountXplain: Interpretable Cell Counting with Prototype-Based Density mAP Estimation Abdurahman Ali Mohammed, Wallapak Tavanapong, Catherine Fonder, Donald Sakaguchi

Curriculum Learning for Language-Guided, Multi-Modal Detection of Various Pathologies Laurenz Adrian Heidrich, Aditya Rastogi, Priyank Upadhya, Gianluca Brugnara, Martha Foltyn-Dumitru, Benedikt Wiestler, Philipp Vollmuth

DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis Jérémie Stym-Popper, Nathan Painchaud, Pierre-Yves Courand, Clément Rambour, Nicolas Thome, Olivier Bernard

Data Augmentation for Medical Imaging: Counterfactual Simulation of Acquisition Parameters via Conditional Diffusion Model Pedro A. Morão, Yasna Forghani, Nuno Loução, Pedro Gouveia, Mario A. T. Figueiredo, Joao Santinha

Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation Mei Vaish, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink

DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction Xueqiang Ouyang, Jia Wei, Wenjie Huo, Xiaocong Wang, Rui Li, Jianlong Zhou

DiffRGenNet: Difference-Aware Medical Report Generation Minghao Bian, Kun Zhang, Dexin Zhao, S Kevin Zhou

DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention Xiaoya Tang, Bodong Zhang, Man M. Ho, Beatrice Knudsen, Tolga Tasdizen

Effective Disjoint Representational Learning for Anatomical Segmentation Priya Tomar, Aditya Parikh, Philipp Feodorovici, Jan Arensmeyer, Hanno Matthaei, Christian Bauckhage, Helen Schneider, Rafet Sifa

Empirical Analysis of Scaling Vision Foundation Models for Chest X-Rays Ahmed Al Mahrooqi, Prateek Munjal, Ronnie Rajan, Marco AF Pimentel, Praveenkumar Kanithi

Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales Zijie Cheng, Boxuan Li, Andre Altmann, Pearse Keane, Yukun Zhou

Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation Maria Monzon, Thomas Iff, Ender Konukoglu, Catherine R Jutzeler

Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-Scale Clinical and OCT Datasets Matthew Anderson, Veronica Corona, Agnieszka Stankiewicz, Maged Habib, David H. Steel, Boguslaw Obara

Enhancing Wrist Fracture Detection Through LLM-Powered Data Extraction and Knowledge-Based Ensemble Learning Serge Didenko Vasylechko, Andy Tsai, Onur Afacan, Sila Kurugol

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Fuyao Chen, Yuexi Du, Tal Zeevi, Nicha C Dvornek, John A Onofrey

Evaluating Shortcut Utilization in Deep Learning Disease Classification Through Counterfactual Analysis Vibujithan Vigneshwaran, Emma A.M. Stanley, Raissa Souza, Erik Ohara, Matthias Wilms, Nils Forkert

Evaluation of Virtual Stain Multiplexed CD68 for Macrophage Detection in NSCLC PD-L1 Slides Elad Arbel, Oded Ben-David, Itay Remer, Amir Ben-Dor, Daniela Rabkin, Sarit Aviel-Ronen, Frederik Aidt, Tine Hagedorn-Olsen, Lars Jacobsen, Kristopher Kersch, Jim Christian, Quyen Nguyen, Anya Tsalenko

Family of Deep Image Prior Networks for Accelerated 3D LGE-MRI Acquisition with Enhanced Reconstruction Md Hasibul Husain Hisham, Shireen Elhabian, Ganesh Adluru, Andrew Arai, Eugene Kholmovski, Ravi Ranjan, Edward Dibella

Fast Forward: Rephrasing 3D Deformable Image Registration Through Density Alignment and Splatting Mattias P Heinrich, Alexander Bigalke, Lasse Hansen

Feature Attribution for Deep Learning Models Through Total Variance Decomposition Yinzhu Jin, Shen Zhu, Tom Fletcher

Federated Class-Heterogeneous Report Labeling with Surgical Aggregation Nikhil Shah, Pranav Kulkarni, Florence Doo, Ang Li, Michael A. Jacobs, Vishwa Sanjay Parekh

FERN: A Fetal Echocardiography Registration Network for 2D-to-3D Alignment Paula Ramirez Gilliland, David F A Lloyd, Jacqueline Matthew, Reza Razavi, Milou PM Van Poppel, Andrew P. King, Maria Deprez

FLAIRBrainSeg: Fine-Grained Brain Segmentation Using FLAIR MRI Only Le Bot Edern, Rémi Giraud, Boris Mansencal, Thomas Tourdias, Jose V Manjon, Pierrick Coupe

Foundation Model Ensemble for Out-of-Distribution Generalization: Predicting Lymph Node Metastasis in Early Gastric Cancer Using Whole-Slide Imaging Woojin Chung, Yujun Park, Yoonho Nam

GAMBAS: Generalised-Hilbert Mamba for Super-Resolution of Paediatric Ultra-Low-Field MRI Levente Baljer, Ula Briski, Robert Leech, Niall J Bourke, Kirsten A Donald, Layla E Bradford, Simone R Williams, Sadia Parkar, Sidra Kaleem, Salman Osmani, Sean CL Deoni, Steven CR Williams, Rosalyn J Moran, Emma C. Robinson, František Váša

Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models Felix Nützel, Mischa Dombrowski, Bernhard Kainz

HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification Niklas Kormann, Masoud Ramuz, Zeeshan Nisar, Nadine S. Schaadt, Hendrik Annuth, Benjamin Doerr, Friedrich Feuerhake, Thomas Lampert, Johannes F. Lutzeyer

Histopathology Image Report Generation by Vision Language Model with Multimodal In-Context Learning Shih-Wen Liu, Hsuan-Yu Fan, Wei-Ta Chu, Fu-En Yang, Yu-Chiang Frank Wang

How to Select Slices for Annotation to Train Best-Performing Deep Learning Segmentation Models for Cross-Sectional Medical Images? Yixin Zhang, Kevin Kramer, Maciej A Mazurowski

I2I-Galip: Unsupervised Medical Image Translation Using Generative Adversarial CLIP Yilmaz Korkmaz, Vishal M. Patel

Imitating Radiological Scrolling: A Glocal-Lobal Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification Théo Di Piazza, Carole Lazarus, Olivier Nempont, Loic Boussel

Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks Tyler Ward, Abdullah Al Zubaer Imran

Intelligent Lesion Selection: A Novel Method for Longitudinal Assessment of Breast Cancer Lung Metastases Melika Qahqaie, Veronika A Zimmer, Eduardo Castaneda, Katariina Peltonen, Joonas Laaksolilja, Juho Lähteenmaa, Tobias Heimann, Andreas Maier, Dominik Neumann

Joint Supervised and Self-Supervised Learning for MRI Reconstruction George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

Learning from a Few Shots: Data-Efficient Cervical Vertebral Maturation Assessment Helen Schneider, Aditya Parikh, Priya Priya, Maximilian Broß, Tom Verhofstadt, Anna Konermann, Rafet Sifa

LiFE-Net: Longitudinal Information Fusion for Enhanced Lesion Detection in Unsupervised Learning Contexts Walid Yassine, Martin Charachon, Celine Hudelot, Roberto Ardon

LOTUS: Latent Outpainting Diffusion Model for Three-Dimensional Ultrasound Stitching Xing Yao, Runxuan Yu, Nick DiSanto, Ehsan Khodapanah Aghdam, Kanyifeechukwu Jane Oguine, Daiwei Lu, Ange Lou, Jiacheng Wang, Dewei Hu, Gabriel A Arenas, Baris Oguz, Alison Marie Pouch, Nadav Schwartz, Brett Byram, Ipek Oguz

LUV-Net: Multi-Pattern Lung Ultrasound Video Classification Through Pattern-Specific Attention with Efficient Temporal Feature Extraction Jung Hoon Lee, ChanGi Kim, Jinwoo Lee, Si Mong Yoon, Kyung-Eui Lee, Hyun-Jun Park, Kwonhyung Hyung, Chang Min Park

Machine Learning with Scarce Data: Ejection Fraction Prediction Using PLAX View Zhiyuan Gao, Dominic Yurk, Yaser S. Abu-Mostafa

MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Yucheng Tang, Daguang Xu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yaohong Wang, Haichun Yang, Yuankai Huo

MAIS: Memory-Attention for Interactive Segmentation Mauricio Orbes, Oeslle Lucena, Sebastien Ourselin, M. Jorge Cardoso

Mapping Functional Language Areas with Non-Functional Brain MRI Omri Leshem, Atira Sara Bick, Nahum Kiryati, Netta Levin, Arnaldo Mayer

MedCL: Learn Consistent Anatomy Distribution for Scribble-Supervised Medical Image Segmentation Ke Zhang, Vishal M. Patel

MedDelinea: Scalable and Efficient Medical Image Segmentation via Controllable Diffusion Transformers Gayatri Deshmukh, Onkar Kishor Susladkar, Debesh Jha, Elif Keles, Halil Ertugrul Aktas, Alpay Medetalibeyoglu, Daniela P. Ladner, Amir A. Borhani, Gorkem Durak, Ulas Bagci

MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders Maya Varma, Ashwin Kumar, Rogier Van der Sluijs, Sophie Ostmeier, Louis Blankemeier, Pierre Joseph Marcel Chambon, Christian Bluethgen, Jip Prince, Curtis Langlotz, Akshay S Chaudhari

Mesh-Prompted Anatomy Segmentation Dingjie Su, Yihao Liu, Lianrui Zuo, Benoit Dawant

Mitigating Analytical Variability in fMRI with Style Transfer Elodie Germani, Camille Maumet, Elisa Fromont

MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration Mokshagna Sai Teja Karanam, Krithika Iyer, Sarang Joshi, Shireen Elhabian

Multi-Centric Comparison of Deep Learning Models for Lesion Detection in Breast MRI Kai Geißler, Markus Wenzel, Susanne Diekmann, Heinrich von Busch, Robert Grimm, Hans Meine

Neural Fields for Tissue Attenuation Curve Reconstruction in Sparsely Sampled Time-Resolved CT Lucas de Vries, Rudolf Leonardus Mirjam Van Herten, P. Matthijs van der Sluijs, Ivana Isgum, Bart J. Emmer, Charles B.L.M. Majoie, Henk Marquering, Efstratios Gavves

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging Carolin Teuber, Anwai Archit, Constantin Pape

PCA-YOLO: A Small Liver Tumor Detection Model with Patch-Contrastive Attention Xueyang Li, Han Xiao, Zongpeng Weng, Xinrong Hu, Danny Chen, Yiyu Shi

PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization Alexis Guichemerre, Soufiane Belharbi, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger

Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model Shen Zhu, Yinzhu Jin, Ifrah Zawar, Tom Fletcher

Predicting Prostate Cancer Progression During Active Surveillance Using Longitudinal bpMRI Scans and a Multi-Scale Foundation Model Yifan Wang, Bin Lou, Heinrich von Busch, Robert Grimm, Sanoj Punnen, Dorin Comaniciu, Ali Kamen, Henkjan Huisman, Angela Tong, David Winkel, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar, Steven Shea, Fergus Coakley, Mukesh Harisinghani

Predicting the Year of Total Knee Replacement: A Transformer-Based Multimodal Approach Ozkan Cigdem, Refik Soyak, Kyunghyun Cho, Cem M Deniz

PRISM: High-Resolution & Precise Counterfactual Medical Image Generation Using Language-Guided Stable Diffusion Amar Kumar, Anita Kriz, Mohammad Havaei, Tal Arbel

Prostate Cancer Detection in Bi-Parametric MRI Using Zonal Anatomy-Guided U-Mamba with Multi-Task Learning Michael S. Larsen, Syed Farhan Abbas, Gabriel Kiss, Mattijs Elschot, Tone F. Bathen, Frank Lindseth

RaDialog: Large Vision-Language Models for X-Ray Reporting and Dialog-Driven Assistance Chantal Pellegrini, Ege Özsoy, Benjamin Busam, Benedikt Wiestler, Nassir Navab, Matthias Keicher

RCSegNeXt: Efficient Multi-Scale ConvNeXt for Rectal Cancer Segmentation from Sagittal MRI Scans Wang Bo, Ting Xue, Leyang Pan, Dingfu Huang, Yi Xiao, Li Fan, Zaiyi Liu, Shiyuan Liu, S Kevin Zhou

Real-Time Breast Lesion Detection in Videos via Spatial-Temporal Feature Aggregation Chao Qin, Jiale Cao, Fahad Shahbaz Khan, Salman Khan, Huazhu Fu, Ehud Ahissar, Rao Muhammad Anwer

SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation Jacqueline Isabel Bereska, Hamed Karimi, Reza Samavi

Scaling Supervision for Free: Leveraging Universal Segmentation Models for Enhanced Medical Image Diagnosis Yingtai Li, Shuai Ming, Haoran Lai, Fenghe Tang, Wei Wei, S Kevin Zhou

Segment Anything for Histopathology Titus Griebel, Anwai Archit, Constantin Pape

SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation Badhan Kumar Das, Ajay Singh, Saahil Islam, Gengyan Zhao, Andreas Maier

Self-Supervised Synthetic Cerebral Vessel Tree Generation Using Semantic Signed Distance Fields Thijs P. Kuipers, Praneeta R. Konduri, Erik J Bekkers, Henk Marquering

Semi-Supervised Skin Lesion Segmentation Under Dual Mask Ensemble with Feature Discrepancy Co-Training Thanh-Huy Nguyen, Thien Nguyen, Xuan Bach Nguyen, Nguyen Lan Vi Vu, Vinh Quang Dinh, Fabrice Meriaudeau

Sequence Models for Continuous Cell Cycle Stage Prediction from Brightfield Images Louis-Alexandre Leger, Maxine Leonardi, Andrea Salati, Felix Naef, Martin Weigert

SRMRI: A Diffusion-Based Super-Resolution Framework and Open Dataset for Blind MRI Super-Resolution Arpan Poudel, Mamata Shrestha, Nian Wang, Ukash Nakarmi

SSDD-GAN: Single-Step Denoising Diffusion GAN for Cochlear Implant Surgical Scene Completion Yike Zhang, Eduardo Davalos, Jack Noble

Staging Liver Fibrosis with Hepatic Perivascular Adipose Tissue as a CT Biomarker Skylar Chan, Tejas Sudharshan Mathai, Praveen T.S. Balamuralikrishna, Vivek Batheja, Jianfei Liu, Meghan G Lubner, Perry J Pickhardt, Ronald Summers

STNAGNN: Data-Driven Spatio-Temporal Brain Connectivity Beyond FC Jiyao Wang, Nicha C Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James s Duncan

Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology Qiuyi Qi, Xin Li, Ming Kong, Zikang Xu, Bingdi Chen, Qiang Zhu, S Kevin Zhou

Surgical Flow Masked Autoencoder for Event Recognition Mayar Lotfy Mostafa, Anna Alperovich, Dmitrii Fedotov, Ghazal Ghazaei, Stefan Saur, Azade Farshad, Nassir Navab

SurgicalSemiSeg: A Semi-Supervised Framework for Laparoscopic Image Segmentation Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine E Davey

Symmetric Multi-Level Gradient-Inverse Consistency Network for Brain Image Registration with Large Deformation HaoyingBai, Tongtong Che, JichangZhang, Shuyu Li

Synthetic Data Generated from CT Scans for Patient Pose Assessment Manuel Laufer, Dominik Mairhöfer, Malte Sieren, Hauke Gerdes, Fabio Leal dos Reis, Arpad Bischof, Thomas Käster, Erhardt Barth, Jörg Barkhausen, Thomas Martinetz

Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning Pranav Kulkarni, Adway Kanhere, Eliot Siegel, Paul Yi, Vishwa Sanjay Parekh

Training-Free Dataset Pruning for Polyp Segmentation via Community Detection in Similarity Networks Md Mostafijur Rahman, Radu Marculescu

Two Heads Are Enough: DualU-Net, a Fast and Efficient Architecture for Nuclei Instance Segmentation David Anglada-Rotger, Berta Jansat, Ferran Marques, Montse Pardàs

Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis Valentina Corbetta, Regina Beets-Tan, Jaime S Cardoso, Wilson Silva

Unsupervised Cellular Anomaly Detection in Toxicological Histopathology Saketh Juturu, Geetank Raipuria, Raghav Amaravadi, Aman Srivastava, Malini Roy, Nitin Singhal

Unveiling Differences: A Vision Encoder-Decoder Model for Difference Medical Visual Question Answering Luis-Jesus Marhuenda, Miquel Obrador-Reina, Mohamed Aas-Alas, Alberto Albiol, Roberto Paredes

Vector Representations of Vessel Trees James Batten, Michiel Schaap, Matthew Sinclair, Ying Bai, Ben Glocker

Visual Prompt Engineering for Vision Language Models in Radiology Stefan Denner, Markus Ralf Bujotzek, Dimitrios Bounias, David Zimmerer, Raphael Stock, Klaus Maier-Hein

Zero-Shot Capability of 2D SAM-Family Models for Bone Segmentation in CT Scans Caroline Magg, Clara I. Sánchez, Hoel Kervadec