MIDL 2026

221 papers

Exploring Entropy-based Active Learning for Fair Brain Segmentation

Ghazal Danaee, Mélanie Gaillochet, Christian Desrosiers, Herve Lombaert, Sylvain Bouix

Heterogeneous Aligned Fusion for Survival Classification with Missing Modalities

Zheng Zheng, Yuzhi Guo, Xiao Hu, Yuwei Miao, Hehuan Ma

On the Feasibility of Fréchet Radiomic Distance–Constrained Adversarial Examples in Medical Imaging: Methods and Trade-offs

Mohamed Mahmoud, Shehab Khaled, Mohamed Elkhayat, Jamil Fayyad

Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement

Zhicheng He, Yibing Fu, Yueming Jin

RNCA: Self-Repairing Segmentation Masks

Malte Silbernagel, Albert Alonso, Jens Petersen, Bulat Ibragimov, Marleen de Bruijne

INFORM-CT: INtegrating LLMs and VLMs FOR Incidental Findings Management in Abdominal CT

Idan Tankel, Nir Mazor, Rafi Brada, Christina Lebedis, Guy Ben-Yosef

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation

Yousef Sadegheih, Dorit Merhof, Pratibha Kumari

ResDCE-diff : Dynamic contrast enhanced MRI translation in prostate cancer using residual denoising diffusion models

Kishore Kumar, Sriprabha Ramanarayanan, Keerthi Ram, Harsh Agarwal, Ramesh Venkatesan

Aloe-Vision: Robust Vision-Language Models for Healthcare

Jaume Guasch-Martí, Enrique Lopez-Cuena, Martín Suárez-Fernández, Jordi Bayarri-Planas, Anna Arias-Duart

Sparse Subspace Diffusion Model for Physically Consistent Accelerated MRI Reconstruction

Xiangyao Deng, Zhiqiang Shen, Sanuwani Dayarathna, Juan P. Meneses, Sergio Uribe

Breaking the Memory Barrier: Efficient Multi-Class 3D Segmentation for Hundreds of Classes

Olivier Jaubert, William Traynor, Shadia Mikhael, John H. Hipwell, Sonia Dahdouh

A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis

Yuli Wu, Fucheng Liu, Rüveyda Yilmaz, Henning Konermann, Peter Walter

UnEBOLT: A Unified Model for EEG-to-BOLD Translation and Functional Connectivity Reconstruction

Yamin Li, Ange Lou, Chang Li, Shiyu Wang, Haatef Pourmotabbed

Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection

Shiwan DI, Jupeng Li, Yuxuan Yang, Qian JIN, Guorui AN

Ultra-ECP: Ellipse-Constrained and Point-Robust Foundation Model Adaptation for Fetal Cardiac Ultrasound Segmentation

Minh H. N. Le, Khanh T. Q. Le, Tuan Vinh, Thanh-Huy Nguyen, Han H. Huynh

Clinical Risk-Aware Multi-Level Grading for Coronary Artery Stenosis through Curved Feature Reconstruction

Shishuang Zhao, Hongtai Li, Junjie Hou, Yuhang Liu

Real-Time Novel-View Freehand Ultrasound Imaging via Point-Cloud Rendering and Diffusion-Bridge Completion

Hanrui Shi, Boris Mailhé, Zheyuan Zhang, Yikang Liu, Xiao Chen

GenVOG-DiT: A Transformer-Based Diffusion Model for Pose-Driven, Patient-Agnostic Nystagmus VOG Video Generation

Aimon Rahman, Kemar E. Green, Vishal M. Patel

EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors

Pengwei Wang, José Morano, Qian Wan, Hrvoje Bogunović

What Fine-Tuning Changes: A Radiomic Lens on Prostate Foundation Model Representations

Yipei Wang, Yaxi Chen, Wen Yan, Natasha Thorley, Alexander Ng

Evidential Retriever: Uncertainty-Aware Medical Image Retrieval

Sai Susmitha Arvapalli, Vinay P. Namboodiri

CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images

Matias Cosarinsky, Nicolas Gaggion, Rodrigo Echeveste, Enzo Ferrante

Adaptive Inference for Medical Vision Transformers: Token Reduction or Early Exit?

Ji Young Byun, HyunSeo Lee, Jordan Shuff, Rengaraj Venkatesh, Nakul S. Shekhawat

CardAIc-Agents: A Multimodal Framework with Hierarchical Adaptation for Cardiac Care Support

Yuting Zhang, Karina V. Bunting, Asgher Champsi, Xiaoxia Wang, Wenqi Lu

Test-Time Scaling in Clinical Decision Making

Ji Young Byun, Young-Jin Park, Navid Azizan, Rama Chellappa

Quantum-Inspired Orthonormal CNN for Energy-Efficient Medical Image Denoising

Sayantan Dutta

MultiPersistence Topological Fusion with Vision Transformers for Skin Cancer Detection

Fulya Tastan, Sayoni Chakraborty, Sangyeon Lee, Baris Coskunuzer

ECT-3DMedSAM: Efficient Cross Teaching Using Segment Anything Model for Semi-Supervised 3D Medical Image Segmentation

Zhewen Huang, Sara R. Guariglia, Jiaqi Yang, Chia-Ling Tsai

Decoupling Vision and Reasoning: A Data-Efficient Pipeline for Surgical VQA

Mohamed Hamdy, Fatmaelzahraa Ali Ahmed, Muraam Abdel-Ghani, Muhammad Arsalan, Ponnuthurai Nagaratnam Suganthan

Beyond Diffusion: Consistency Models for One-Step, High-Fidelity MRI Reconstruction

Mary-Brenda Akoda, Chen Qin

Tagged-Informed Prior for Motion Quantification in Cine CMR Using Implicit Neural Representations

Laura Alvarez-Florez, Soufiane Ben Haddou, Fleur V. Y. Tjong, Ivana Igum

SEG4SEG: Identifying Systematic Failure Modes in Segmentation by Subgroup Discovery Methods

Nina Weng, Eike Petersen, Alceu Bissoto, Susu Sun, Lisa M. Koch

T1-PILOT: Physics-Informed Learned Optimized Trajectories for T1 Mapping Acceleration

Tamir Shor, Moti Freiman, Chaim Baskin, Alex Bronstein

RadVLM-GRPO: Enhancing Chest X-ray Report Generation and Visual Grounding via Reinforcement Learning

Benjamin Gundersen, Nicolas Deperrois, Samuel Ruiperez-Campillo, Thomas M. Sutter, Julia E. Vogt

Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections

Max Kirchner, Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Oliver L. Saldanha

MedKamba: A Novel Approach Integrating State-Space Models and Fractional Kolmogorov–Arnold Networks for Medical Image Segmentation

Amit Shakya, Akanksha Yadav, Rupesh Kumar, Lalit Sharma

REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction

Seowung Leem, Lin Gu, Chenyu You, Kuang Gong, Ruogu Fang

Unpaired Multimodal Learning for Biological Datasets

Zongliang Ji, Cian Eastwood, Anna Goldenberg, Paul Pu Liang, Jason Hartford

CyclePhase: Robust phase detection in cardiovascular imaging through cyclic motion estimation

Soufiane Ben Haddou, Rudolf L. M. van Herten, Connie R. Bezzina, R. Nils Planken, Joost Daemen

FutureMorph: Toward Predicting Future Deformation Fields in Longitudinal Imaging

Samah Khawaled, Mert R. Sabuncu

HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis

Fengbei Liu, Sunwoo Kwak, Hao Phung, Nusrat Binta Nizam, Ilan Richter

X-Cardia: Phenotype-Guided Cross-Modal Alignment for Opportunistic Cardiac Screening on Routine Chest CT

Nusrat Binta Nizam, Fengbei Liu, Sunwoo Kwak, Ilan Richter, Jayant K Raikhelkar

Landmark Detection Uncertainty as a Reliability Weight for Robust Landmark-based 2D/3D Pelvic Pose Estimation

Yehyun Suh, Brayden Schott, Chou Mo, J. Ryan Martin, Daniel Moyer

EndoStreamDepth: Temporally Consistent Monocular Depth Estimation for Endoscopic Video Streams

Hao Li, Daiwei Lu, Jiacheng Wang, Robert J. Webster, Ipek Oguz

Endo-SemiS: Towards Robust Semi-Supervised Image Segmentation for Endoscopic Video

Hao Li, Daiwei Lu, Xing Yao, Nicholas Kavoussi, Ipek Oguz

MILCA: Malaria Parasite Detection from Sample-Level Weak Labels

Petru Manescu, Delmiro Fernandez-Reyes

Rendering with a Gut Feeling: Depth-Guided Triangle Splatting for Physically Consistent Colonoscopic Reconstruction

Romain Hardy, Andrea Dunn Beltran, Todd A. Brenner, Tyler M. Berzin, Pranav Rajpurkar

Temporal Memory Enhancement for Semantic Segmentation in Surgical Video

Zheyao Gao, Qian Wu, Yueyao CHEN, Cheng Chen, Hon Chi Yip

LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays

Mingze Jiang, Xueyang Li, John Kheir, Alec Girten, Yiyu Shi

NeuroLangSeg: Language-Guided Subcortical Segmentation with Pseudo-Supervision and Anatomical–Linguistic Validation

Ruiying Liu, Jialu Liu, Xuzhe Zhang, Chuang Huang, Yun Wang

One-by-One Stainer: A Fast and Hallucination Resilient Domain Adaptation Method for Histopathology

Karel Moens, Jonas De Vylder, Tinne Tuytelaars, Matthew B. Blaschko

A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation

Yiyou Sun, Zheyao Gao, Xiaogen Zhou, Qi Dou, Winnie Chiu Wing Chu

A-ADAPT: Adaptive Intracranial Artery Segmentation with Morphology-Guided Prompts and Difficulty-Aware Learning

Zhiwei Tan, Xin Wang, Meng Wang, Zixuan Liu, Yin Guo

SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Disease Detection and Segmentation

Aswathi Varma, Jonas Weidner, Laurin Lux, Cosmin Bercea, Mark Mühlau

Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling

Maik Dannecker, Steven Jia, Nil Stolt-Ansó, Nadine Girard, Guillaume Auzias

BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features

Juampablo E. Heras Rivera, Dickson T. Chen, Tianyi Ren, Daniel K. Low, Jacob Ruzevick

NISF$++$: Geometrically-grounded implicit representations of 3D$+$time cardiac function from 2D short- and long-axis MR views

Nil Stolt-Ansó, Maik Dannecker, Steven Jia, Julian McGinnis, Daniel Rueckert

Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations

Tianyi Ren, Daniel Low, Rachel Xiang, Pittra Jaengprajak, Juampablo Heras Rivera

Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI

Hadas Ben Atya, Nicole Abramenkov, Noa Mashiah, Luise Brock, Daphna Link Sourani

Does Grounding Improve Radiology Report Generation? An Empirical Study on PadChest-GR

Mohamed Aas-Alas, Alberto Albiol, Roberto Paredes

BETA: Resting-state fMRI Biotypes for tDCS Efficacy in Anxiety Among Older Adults At Risk For Alzheimer’s Disease

Skylar E. Stolte, Junfu Cheng, Chintan Acharya, Lin Gu, Andrew O’Shea

Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis

Umar Marikkar, Muhammad Awais, Sara Atito

End-to-End Co-Optimization of Adaptive k-space Sampling and Reconstruction for Dynamic MRI

George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen

Vesselpose: Vessel Graph Reconstruction from Learned Voxel-wise Direction Vectors in 3D Vascular Images

Rajalakshmi Palaniappan, Christoph Karg, Nemesio Navarro-Arambula, Peter Hirsch, Dagmar Kainmueller

Hyperbolic U-Net for Robust Medical Image Segmentation

Swasti S. Mishra, Max van Spengler, Erwin Berkhout, Pascal Mettes

A Deep Learning-Enabled Digital Twin Framework for Fast Online Adaptive Proton Therapy: A Validation Study in A Prostate SBRT Clinical Application

Chih-Wei Chang, Mojtaba Safari, Sri Sai Akkineni, Mingzhe Hu, Keyur D. Shah

MCMA-Net++: Topology-Aware and Graph-Driven Glioma Segmentation in 3D MRI

Jihan Alameddin, Céline Thomarat, Rémy Guillevin, Christine Fernandez-Maloigne, Carole Guillevin

From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis

Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert

Discriminative Self-Supervised Pre-Training for Esophagitis Detection in Upper GI Endoscopy Images

Tobias Friedetzki, Naveen Chandraiah, Emil Svoboda, Pavel Pecina, Frank Puppe

Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation

Wesam Moustafa, Hossam Elsafty, Helen Schneider, Lorenz Sparrenberg, Rafet Sifa

MID-POSE: Multi-Instrument Detection and Pose Estimation in Endoscopic Surgery

Wenhua Wei, Laurent Mennillo, Zhehua Mao, Anjana Wijekoon, Kendall Feeny

Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaptation of Medical Image Segmentation

Thomas Pinetz, Veit Hucke, Hrvoje Bogunović

Towards Effective Surgical Representation Learning with DINO Models

Ronald L.P.D. de Jong, Yiping Li, Tim J.M. Jaspers, Romy C. van Jaarsveld, Gino M. Kuiper

Flow Matching for 3D Craniofacial Skeletal Data Generation

Giacomo Melacini, Stefano Mazzocchetti, Giuseppe Lisanti, Luigi Di Stefano, Samuele Salti

Uncertainty-aware Cycle Diffusion Model for Fair Glaucoma Diagnosis

Ziheng Wang, Shuran Yang, Yan Lin, Wenrui Zang, Yanda Meng

Guideline-Informed MLLM Reasoning for Pathology-Aware Postoperative Prostate CTV Segmentation

Yinhao Wu, Hengrui Zhao, Haiqing Li, Wenliang Zhong, Hehuan Ma

SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation

Bo Shi, Wei-Ping Zhu, M.N.S Swamy

Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT

Matan Atad, Alexander W. Marka, Lisa Steinhelfer, Anna Curto-Vilalta, Yannik Leonhardt

CatVLM: Enhancing Temporal Understanding in Cataract Surgery Videos with Boundary-Aware VLM

Jay N. Paranjape, Nisarg Shah, Nanthini Narayanan, Shameema Sikder, S. Swaroop Vedula

UltraG-Ray: Physics-Based Gaussian Ray Casting for Novel Ultrasound View Synthesis

Felix Duelmer, Jakob Klaushofer, Magdalena Wysocki, Nassir Navab, Mohammad Farid Azampour

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection

Alexandra Ertl, Stefan Denner, Robin Peretzke, Shuhan Xiao, David Zimmerer

CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation

Shantam Srivastava, Mahesh Bhosale, DAVID DOERMANN, Mingchen Gao

RandP: Effective and Efficient Medical Visual In-Context Learning via a Retrieve-and-Propagate Module for Prompt-Query Fusion

Rongge Mao, Han Li, Chengqi Dong, Nassir Navab, S Kevin Zhou

WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning

Mert Sonmezer, Serge Vasylechko, Duygu Atasoy, Seyda Ertekin, Sila Kurugol

ICL-NoiseUNet - A Novel In-Context Learning Based Framework For Ultrasound Segmentation With Adaptive Noise Modulation

Ioannis Charisiadis, Ilyass el Allali, Richard G. P. Lopata, Clara I. Sánchez, Navchetan Awasthi

Brain Tumor Growth Inversion via Differentiable Neural Surrogates

Jonas Weidner, Lucas Zimmer, Ivan Ezhov, Michal Balcerak, Björn Menze

Conditional Learned Reconstruction for Medical Imaging

Nikita Moriakov, George Yiasemis, Jan-Jakob Sonke, Jonas Teuwen

TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models

Tim Veenboer, George Yiasemis, Eric Marcus, Vivien van Veldhuizen, Cees G. M. Snoek

Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning

Chenjun Li, Cheng Wan, Laurin Lux, Alexander H. Berger, Richard B. Rosen

FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning

Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim, Kundan Thind, Dongxiao Zhu

Quantitative Pose-Based Analysis of Movement Disorders in Pediatric NGLY1 and SLC13A5 Patients

Chengliang Dai, Phil Scordis, Prathyusha Teeyagura, Rayann M. Solidum, Jeff Broderick

UM–ProtoShare: UNet-Guided, Multi-scale Shared Prototypes for Interpretable Brain Tumour Classification Using Multi-sequence 3D MRI

Ali Golbaf, Vivek Singh, Swen Gaudl, Emmanuel Ifeachor

Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation

Feiyang Xiao, Yichi Zhang, Xigui Li, Yuanye Zhou, Chen Jiang

Vector Quantization for Reversed Disease Progression: Further Investigations

Chih-Chieh Chen, Chang-Fu Kuo

OmniNet: A Multi-Modality Neural Network for Robust Remote Respiratory Rate Measurement from Facial Video

Tsai-Ni Lin, An-Sheng Liu, Li-Chen Fu

StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology

Jiawen Li, Jiali Hu, Xitong Ling, Yongqiang Lv, Yuxuan Chen

Context-Aware Patch Representations for Multiple Instance Learning

Andreas Lolos, Theofilos Christodoulou, Aris L. Moustakas, Stergios Christodoulidis, Maria Vakalopoulou

SCR$^2$-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning

Junchao Zhu, Ruining Deng, Junlin Guo, Tianyuan Yao, Chongyu Qu

MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata

Yihao Liu, Chenyu Gao, Lianrui Zuo, Michael E. Kim, Brian D. Boyd

SoftCAM: Making black box models self-explainable for medical image analysis

Kerol Djoumessi, Philipp Berens