MIDL 2026

221 papers

Harmonizing MR Images Across 100+ Scanners: Multi-site Validation with Traveling Subjects and Real-world Protocols

Savannah P. Hays, Lianrui Zuo, Muhammad Faizyab Ali Chaudhary, Kathleen M. Bartz, Samuel W. Remedios

Detection versus Instance Segmentation for Multi-Species Malaria Diagnosis: A Head-to-Head Comparison and Multi-Dataset Validation of YOLOv12 Architectures with Small Object Optimization

Ahmed Tahiru Issah, Idaya Seidu, Carine Mukamakuza

Multi-site Benchmarking of Deep Learning Models for Intraparenchymal Hemorrhage Segmentation on NCCT

Kauê T N Duarte, Abhijot S Sidhu, Murilo C Barros, Taha Aslan, Donghao Zhang

Virtual-Eyes: Quantitative Validation of a Lung CT Quality-Control Pipeline for Foundation-Model Cancer Risk Prediction

Md. Enamul Hoq, Linda Larson-Prior, Fred Prior

Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance

Matteo Wohlrapp, Niklas Bubeck, Daniel Rueckert, William Lotter

Scalable Detection of Undiagnosed ILD in Population Screening: A Multi-Cohort Study using 3D Foundation Models

Niccolò McConnell, Mehran Azimbagirad, Daryl O. Cheng, Daisuke Yamada, Ryoko Egashira

UMamba-ProSSL: Self-Supervised Large-Scale Pretraining with Multi-Task UMamba Advances Prostate Cancer Detection in Biparametric MRI

Syed Farhan Abbas, Michael S. Larsen, Arild Strømsvåg, Tone F. Bathen, Frank Lindseth

On the Stability and Robustness of Vision Transformers for Neurodegenerative Disease Classification

Eloi Navet, Rémi Giraud, Boris Mansencal, Pierrick Coupe

Can Vision Language Models Track a Heartbeat? A Benchmark on Frame-Level Echocardiogram Understanding

Dingming Liu, Nabil Jabareen, Soeren Lukassen

A comprehensive benchmark of graph neural networks, graph kernels, and classical machine learning approaches on rs-fMRI brain graphs

Razan Mhanna, Sophie Achard, Alexander Petersen, Jonas Richiardi

Evaluation of 3D Ultrasound Reconstruction and 2D/3D Segmentation for Neonatal Hip Dysplasia Screening

Wiebke Heyer, Katharina Ott, Christian Weihsbach, Reza Sorbi, Lisa Lange

Impact of uncertainty maps on manual editing of rectal cancer segmentation in radiotherapy

Federica Carmen Maruccio, Rita Simões, Fokie Cnossen, Christian Jamtheim Gustafsson, Sanne Conijn

Deep Learning for Liver Disease Stratification: Findings from UKBB MRI

Rami Al-Belmpeisi, Josefine Vilsb ll Sundgaard, Peter Hj rringgaard Larsen, Anders Bjorholm Dahl

Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data

Satrajit Chakrabarty, Ravi Soni

A Comprehensive Benchmarking and Systematic Analysis of Deep Learning Models for Sonomammogram Segmentation

Malitha Gunawardhana, Norbert Zolek

Multicenter Morphometric Analysis of Stratum Corneum Nanotexture for Skin Barrier Assessment

Jen-Hung Wang, Chia-Yu Chu, Felipe Colombelli, Ching-Wen Du, Maria Oberländer Christensen

ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges

Roshan Kenia, Xiaoman Zhang, Pranav Rajpurkar

Deep Learning Based Emboli Detection Using Ultrasound Doppler Imaging

Raghava Vinaykanth Mushunuri, Cecilie Le Duc Dahl, Elisabeth Krogstad Iversen, Sigrid Dannheim Vik, Martin Leth-Olsen

Benchmarking the Reproducibility of Brain Tissue Segmentation Across MRI Scanners

Ekaterina Kondrateva, Abdalla Z Mohamed, Sandzhi Barg, Florian Kofler

Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty

Giuseppina Carannante, Nidhal C. Bouaynaya, Dimah Dera, Hassan M. Fathallah-Shaykh, Ghulam Rasool

CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization

Linkai Peng, Cuiling Sun, Zheyuan Zhang, Wanying Dou, Halil Ertugrul Aktas

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types

Chi-Yu Chen, Rawan Abulibdeh, Arash Asgari, Sebastián Andrés Cajas Ordóñez, Leo Anthony Celi

The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge

Rohit Jena, Pratik Chaudhari, James Gee

Endo-4DTS: Monocular 4D Scene Synthesis for Endoscopy via Deformable Triangle Splatting

Laura Salort-Benejam, Antonio Agudo

MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images

Felicia Bader, Philipp Seeböck, Anastasia Bartashova, Ulrike Attenberger, Georg Langs

Heteroscedastic Heatmap Regression for Reliable Pectoral Muscle Segmentation in Mammography

Paul Zech, Christian Hümmer, Benjamin El-Zein, Christopher Syben, Ludwig Ritschl

A Multi-Scale Inception-UNet with Structure-Aware Evaluation for Branch-Preserving Segmentation of Organoids

Sandra H. Andrusca, Christopher D. Kießling, Andreas R. Bausch

Bridging Classical and Learned Priors: A Hybrid Framework for Medical Image Enhancement

Peeyush Kumar Singh, Sneha Singh

LLaMA32-Med: Parameter-Efficient Adaptation of Multimodal LLMs for Medical Visual Question Answering

Wanqi Dong, Jingze Ge, Wanyue Dong, Mehul Motani

Revealing and Reducing Morphological Biases Using Implicit Neural Representations for Medical Image Registration

Sofija Engelson, Bennet Kahrs, Timo Kepp, Julia Andresen, Heinz Handels

HiPro-CT: A Hierarchical Probabilistic Framework for 3D Medical Vision-Language Alignment

Lin Lu, Zihan Liu, Chaoxiang Tang, Hui Zhang

A Diffusion-Driven Fine-Grained Nodule Synthesis Framework for Enhanced Lung Nodule Detection from Chest Radiographs

Shreshtha Singh, Aryan Goyal, Ashish Mittal, Manoj Tadepalli, Piyush Kumar

Expert Branches: Module Diversity for Stronger Feature Learning in Laparoscopic Segmentation

Lin Guo, Chiara Camerota, Mohammad Mahmoud, Flavio Esposito

BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation

Yiran Huang, Amirhossein Nouranizadeh, Christine Ahrends, Mengjia Xu

GraphULM: A Multi-Resolution CNN and GCN Framework for Ultrasound Localization Microscopy

Mohammad Sabih, Mohamed Khaled Almekkawy

ResGAT: A Residual Graph Attention Network for Cancer Subtype Classification in Whole Slide Images

Zhenhan Lin, Hao Tong, Yunfei Hu, Xianyong Gui, Jeanne Shen

Generating Post-Acetazolamide Cerebral Blood Flow MRI for High-Risk Stroke Patients

Rydham Goyal, Camila Gonzalez, Sasha Alexander, Aja Zou, Michael E Moseley

MGMT Promoter Methylation Prediction in Glioblastoma Using 3D CNNs with Advanced MRI Sequences

Tran Nguyen Tuan Minh, Quang Hien Kha, Viet Huan Le, Matthew Chin Heng Chua, Nguyen Quoc Khanh Le

Quantifying and Mitigating Hospital Domain Bias in Pathology Foundation Models using Adversarial Feature Disentanglement

Mengliang Zhang

DTC-WSI: Dynamic Token Compression for Whole-Slide Images

Tawsifur Rahman, Aliasghar Tarkhan, Rama Chellappa, Alexander S. Baras

Orientation-Aware Diffusion Super-Resolution for 3T-Like Fetal MRI from Routine 1.5T Scans

Xinliu Zhong, Ruiying Liu, Guohao Lin, Chuan Huang, Adam Ezra Goldman-Yassen

Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?

Ayush Roy, Samin Enam, Jun Xia, Won Hwa Kim, Vishnu Suresh Lokhande

WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis

Yalcin Tur, Mihajlo Stojkovic, Ulas Bagci

Unlocking 2D Promptable Foundation Models for 3D Vessel Segmentation by Automatic Prompt Generation

Ziyu Zhang, Yi Yu, Yuan Xue

Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization

Huayu Wang, Bahaa Alattar, Cheng-Yen Yang, Hsiang-Wei Huang, Jung Heon Kim

SAC-Diff: A Scan-Aware Consistency-Enhanced Diffusion Framework for Unsupervised Chest CT Anomaly Detection

Xinyuan Zheng, Yoshihisa Shinagawa, Sepehr Farhand, Chi Liu, Gerardo Hermosillo Valadez

AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics

Stella Su, Marc Harary, Scott J. Rodig, William Lotter

TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation

Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang

Validating the Benefit of Combining Imaging and Clinical Data for Ischemic Stroke Outcome Prediction

Zeyad Abouyoussef, Johanna Ospel, Roberto Souza

Geometry-Aware Cardiac MRI Representation Learning with Equivariant Neural Fields

Jesse L. Wiers, David R. Wessels, Lukas P.A. Arts, Samuel Ruiperez-Campillo, Maarten Z.H. Kolk

EPI Distortion Correction without Opposite Phase Encodings with Unsupervised INR-Based Deformable Registration

Tyler Spears, Myla Goldman, P. Thomas Fletcher

ASTIH: A collection of axon and myelin segmentation datasets from multiple histology studies

Armand Collin, Mathieu Boudreau, Julien Cohen-Adad

Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation

Nafis Fuad Shahid, Maroof Ahmed, Md Akib Haider, Saidur Rahman Sagor, Aashnan Rahman

PaSAL: A Deep Learning Pipeline for Pulmonary Artery-Vein Segmentation and Anatomical Labeling in Thoracic CT

Jasper Eppink, Hoel Kervadec, Julian van Capelleveen, Joost Verhoeff, Suresh Senan

Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation

Luca Hagen, Johanna P. Müller, Moritz Gmeiner, Bernhard Kainz

Domain-Constrained Distillation of DINOv3 into a Lightweight Foundation Model Toward Point-of-Care Ultrasound

Md Jaber Al Nahian, Shrimanti Ghosh, Jacob Jaremko, Abhilash Hareendranathan

RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows

Kai Zhang, Corey D Barrett, Jangwon Kim, Lichao Sun, Tara Taghavi

Revisiting foundation models for cell instance segmentation

Anwai Archit, Constantin Pape

GEMCONT: Genetics-based Multimodal Contrastive Learning Enhances Phenotypic embeddings and Boosts Genetic Discovery

Daniel Sens, Liubov Shilova, Adrian V. Dalca, Julia A. Schnabel, Francesco Paolo Casale

CSVR: Combined Surface and Volume Registration for Neonatal Brain MRI

Saga N.B. Masui, Yourong Guo, Mohamed A. Suliman, Mattias P. Heinrich, Nashira Baena

Beyond scalar losses: calibrating segmentation models via gradient vector field surgery

Laurin Lux, Alexander H. Berger, Moritz Knolle, Daniel Rückert, Johannes C. Paetzold

SuD-CoTAN: Sulcal Depth-guided Anatomically Consistent Fetal Cortical Surface Reconstruction

Irina Grigorescu, Jiaxin Xiao, Yourong Guo, Vanessa Kyriakopoulou, Alena Uus

Learning Robust Medical Image Segmentation with Inductive Bias

Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Anca-Ligia Grosu

Counterfactual Intervention in Attention Multiple Instance Learning For Digital Pathology

Imane Chraki, Pierre Marza, Stergios Christodoulidis, Maria Vakalopoulou

Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling

Sander Moonemans, Sebastiaan Ram, Frédérique Meeuwsen, Carlijn Lems, Jeroen van der Laak

Explainable HCC Diagnosis on Dynamic Contrast-Enhanced MRI with a Li-RADS Concept Bottleneck

Killian Monnin, Patrick Jeltsch, Lucia Fernandes-Mendes, Vasco Cazzagon, Murat Yüce

More is more: leveraging multi-rater information for whole slide images grading via virtual expert panel

Jan Grove, Michel Botros, Ylva A Weeda, Clara I. Sánchez, Erik Bekkers

Efficient Self-Supervised Adaptation of 3D Abdominal Vision-Language Model for Institution-Specific HCC Classification via Full Fine-Tuning and PEFT

Febryan Putra Kartika, Cheng-Yu Ma, Ying-Jia Lin, Chi-Tung Cheng, Kuan-Fu Chen

Geometry-Aware Depth-Guided Explainable Multimodal Polyp Size Estimation: A Fusion Model Beyond RGB

Krispian Lawrence, Usha Goparaju, Luis Lamb

No Evidence of Disease: Clinically-Risky Adversarial Chest CT Report Generation

Samra Irshad, Junho Kim, Seong Tae Kim

TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation

Ashim Dhor, Abhirup Banerjee, Tanmay Basu

Anatomical Longitudinal Cortical Surface Registration

Aakash Saboo, Ashleigh Davies, Nashira Baena, Kaili Liang, Jiaxin Xiao

Learning Structure-Aware Foundational Representation of Rat Testicular Tubules Using Multiple Instance Learning

Vedang Kshirsagar, Saketh Juturu, Geetank Raipuria, Nitin Singhal

Evidential DualU-Net: Single-Pass Uncertainty for Cell Instance Segmentation

David Anglada-Rotger, Ferran Marques, Montse Pardàs

Robust Multi-Scale Implicit Neural Representations for Large-Deformation Lung Registration

Johannes B. Gebauer, Maximilian Nielsen, Frederic Madesta, René Werner, Thilo Sentker

Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models

Tai Le Gia, Jaehyun Ahn

RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering

Léo Butsanets, Charles Corbière, Julien Khlaut, Pierre Manceron, Corentin Dancette

Enforcing 3D Coherence in Semi-Supervised Segmentation for Pancreatic Tumor Histopathology from Light Sheet Fluorescence Microscopy

Yousif Hashisho, Diana Pinkert-Leetsch, Jeannine Missbach-Guentner

ALO: Addressing Class Imbalance in Radiology Report Generation through Anatomy-Level Oversampling

Lukas Buess, Robert Kurin, Adarsh Bhandary Panambur, Tomás Arias-Vergara, Andreas Maier

Automated Quality Assessment of Blind Sweep Obstetric Ultrasound for Improved Diagnosis

Prasiddha Bhandari, Kanchan Poudel, Nishant Luitel, Bishram Acharya, Angelina Ghimire

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding

Christina Liu, Alan Q. Wang, Joy Hsu, Jiajun Wu, Ehsan Adeli

From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression

Luoting Zhuang, Linh M. Tran, Yunzheng Zhu, Ashley E. Prosper, William Hsu

PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage

Amar Kumar, Zahra TehraniNasab, Emily Kaczmarek, Tal Arbel

CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction

Rustin Soraki, Huayu Wang, Sitong Liu, Joann G. Elmore, Linda Shapiro

ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation

Khang Le, Ha Thach, Anh M. Vu, Trang T. K. Vo, Han H. Huynh

Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models

Konstantinos Vilouras, Ilias Stogiannidis, Junyu Yan, Alison Q. Smithard, Sotirios A. Tsaftaris

Semi-Synthetic Localization Datasets for Radiological Findings on Chest X-Rays

Andrea Posada, Johannes Brandt, Friederike Jungmann, Maria Posada, Daniel Rueckert

Non-invasive estimation of haemodynamic parameters in pulmonary hypertension — A deep learning approach integrating all B-mode cine loops in an echocardiographic exam

Li-Hsin Cheng, Samer Alabed, Athanasios Charalampopoulos, Ze Ming Goh, Abdul Hameed

Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases

Clemens Watzenböck, Daniel Aletaha, Michaël Deman, Thomas Deimel, Jana Eder

Beyond Natural Images: A Dual-Stream DINOv3 Framework for PET/CT Segmentation

Yu-Nong Scarlett Lin, Shansong Wang, Mojtaba Safari, Xiaofeng Yang

MoA: Mixture of Aggregators Improves Slide-Level Diagnosis in Computational Pathology

Fatih Ozlugedik, Muhammed Furkan Dasdelen, Rao Muhammad Umer, Carsten Marr

Calibration-Aware Semi-Supervised Fetal Head Segmentation with Boundary-Positive Contrast

Ufaq Khan, Umair Nawaz, Tajamul Ashraf, Tausifa Jan Saleem, Massimo Caputo

Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models

Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard

Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis

Samuel Halimi, Loic Themyr, Arnaud Abreu

From Surface to Viscera: 3D Estimation of Internal Anatomy from Body Surface Point Clouds

Salih Furkan Atici, Eytan Kats, Daniel Mensing, Mattias P Heinrich

Attention-to-Survival: Multimodal Fracture Risk Prediction Based on Pelvic Radiographs and Clinical Data from the Study of Osteoporotic Fractures

Niklas C. Koser, Marten J. Finck, Silja Janßen, Coenraad Mouton, Li-Y. Lui

VFMStitch: A Vision-Foundation-Model Empowered Framework for 3D Ultrasound Stitching via Geometric–Semantic Feature Fusion

Xing Yao, Nick DiSanto, Runxuan Yu, Jiacheng Wang, Daiwei Lu

MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI

Zhengyi Lu, Ming Lu, Chongyu Qu, Junchao Zhu, Junlin Guo

AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning

Chongyu Qu, Zhengyi Lu, Yuxiang Lai, Thomas Z. Li, Junchao Zhu

Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing

Yuechen Yang, Junlin Guo, Ruining Deng, Junchao Zhu, Zhengyi Lu