MIDL 2025

109 papers

MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics

Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu

Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model

Shen Zhu, Yinzhu Jin, Ifrah Zawar, Tom Fletcher

SurgicalSemiSeg: A Semi-Supervised Framework for Laparoscopic Image Segmentation

Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine E Davey

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

Anatomy-Guided Surface Diffusion Model for Alzheimer’s Disease Normative Modeling

Jianwei Zhang, Yonggang Shi

MedCL: Learn Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation

Ke ZHANG, Vishal M. Patel

SSDD-GAN: Single-Step Denoising Diffusion GAN for Cochlear Implant Surgical Scene Completion

Yike Zhang, Eduardo Davalos, Jack Noble

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

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

Joint Supervised and Self-supervised Learning for MRI Reconstruction

George Yiasemis, Nikita Moriakov, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

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

Improving brain disorder diagnosis with advanced brain function representation and Kolmogorov-Arnold Networks

Tyler Ward, Abdullah Al Zubaer Imran

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

STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC

Jiyao Wang, Nicha C Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola

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

Evaluating Shortcut Utilization in Deep Learning Disease Classification through Counterfactual Analysis

Vibujithan Vigneshwaran, Emma A.M. Stanley, Raissa Souza, Erik Ohara, Matthias Wilms

Cardiac Computed Tomography Angiography Plane Prediction and Comprehensive LV Segmentation

Davis Marc Vigneault, Ashish Manohar, Abraham Hernandez, Krista Tin Chi Wong, Fanwei Kong

Enhancing Wrist Fracture Detection through LLM-Powered Data Extraction and Knowledge-Based Ensemble Learning

Serge Didenko Vasylechko, Andy Tsai, Onur Afacan, Sila Kurugol

MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders

Maya Varma, Ashwin Kumar, Rogier Van der Sluijs, Sophie Ostmeier, Louis Blankemeier

Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation

Mei Vaish, Felix Meister, Tobias Heimann, Christoph Brune, Jelmer M. Wolterink

Effective Disjoint Representational Learning for Anatomical Segmentation

Priya Tomar, Aditya Parikh, Philipp Feodorovici, Jan Arensmeyer, Hanno Matthaei

Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging

Carolin Teuber, Anwai Archit, Constantin Pape

DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention

Xiaoya Tang, Bodong Zhang, Man M. Ho, Beatrice Knudsen, Tolga Tasdizen

Mesh-Prompted Anatomy Segmentation

Dingjie Su, Yihao Liu, Lianrui Zuo, Benoit Dawant

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

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

A Vision Foundation Model for Cataract Surgery Using Joint-Embedding Predictive Architecture

Nisarg A Shah, Mingze Xia, Subhasri Vijay, Shameema Sikder, S. Swaroop Vedula

Federated Class-Heterogeneous Report Labeling with Surgical Aggregation

Nikhil Shah, Pranav Kulkarni, Florence Doo, Ang Li, Michael A. Jacobs

Learning from a Few Shots: Data-efficient Cervical Vertebral Maturation Assessment

Helen Schneider, Aditya Parikh, Priya Priya, Maximilian Broß, Tom Verhofstadt

Training-Free Dataset Pruning for Polyp Segmentation via Community Detection in Similarity Networks

Md Mostafijur Rahman, Radu Marculescu

Real-time Breast Lesion Detection in Videos via Spatial-temporal Feature Aggregation

Chao Qin, Jiale Cao, Fahad Shahbaz Khan, Salman Khan, Huazhu Fu

Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology

Qiuyi Qi, Xin Li, Ming Kong, Zikang Xu, Bingdi Chen

Intelligent Lesion Selection: A Novel Method for Longitudinal Assessment of Breast Cancer Lung Metastases

Melika Qahqaie, Veronika A Zimmer, Eduardo Castaneda, Katariina Peltonen, Joonas Laaksolilj

SRMRI: A Diffusion-Based Super-resolution Framework and Open Dataset for Blind MRI Super-Resolution

Arpan Poudel, Mamata Shrestha, Nian Wang, Ukash Nakarmi

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

RaDialog: Large Vision-Language Models for X-Ray Reporting and Dialog-Driven Assistance

Chantal Pellegrini, Ege Özsoy, Benjamin Busam, Benedikt Wiestler, Nassir Navab

DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction

Xueqiang Ouyang, Jia wei, Wenjie Huo, Xiaocong Wang, Rui Li

MAIS: Memory-Attention for Interactive Segmentation

Mauricio Orbes, Oeslle Lucena, Sébastien Ourselin, M. Jorge Cardoso

Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models

Felix Nützel, Mischa Dombrowski, Bernhard Kainz

Clinical Measurements with Calibrated Instance-Dependent Confidence Interval

Rotem Nizhar, Lior Frenkel, Jacob Goldberger

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

Biologically-Constrained Multi-Label Classification with Learnable Domain Knowledge

Nabil Mouadden, Véronique Vergé, Ahmadreza Arbab, Jean-Baptiste Micol, Elsa Bernard

Surgical Flow Masked Autoencoder for Event Recognition

Mayar Lotfy Mostafa, Anna Alperovich, Dmitrii Fedotov, Ghazal Ghazaei, Stefan Saur

Data Augmentation for Medical Imaging: Counterfactual Simulation of Acquisition Parameters via Conditional Diffusion Model

Pedro A. Morão, Yasna Forghani, Nuno Louçã, Pedro Gouveia, Mario A. T. Figueiredo

Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation

Maria Monzon, Thomas Iff, Ender Konukoglu, Catherine R Jutzeler

CountXplain: Interpretable Cell Counting with Prototype-Based Density Map Estimation

Abdurahman Ali Mohammed, Wallapak Tavanapong, Catherine Fonder, Donald Sakaguchi

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

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

Empirical Analysis of Scaling Vision Foundation Models for Chest X-rays

Ahmed Al Mahrooqi, Prateek Munjal, Ronnie Rajan, Marco AF Pimentel, Praveenkumar Kanithi

Zero-shot capability of 2D SAM-family models for bone segmentation in CT scans

Caroline Magg, Clara I. Sánchez, Hoel Kervadec

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

Scaling Supervision for Free: Leveraging Universal Segmentation Models for Enhanced Medical Image Diagnosis

Yingtai Li, Shuai Ming, Haoran Lai, Fenghe Tang, Wei Wei

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

PCA-YOLO: A Small Liver Tumor Detection Model with Patch-Contrastive Attention

Xueyang Li, Han Xiao, Zongpeng Weng, Xinrong Hu, Danny Chen

Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data

Yujia Li, Han Li, S Kevin Zhou

Mapping Functional Language Areas with non-Functional Brain MRI

Omri Leshem, Atira Sara Bick, Nahum Kiryati, Netta Levin, Arnaldo Mayer

Adversarial Perturbations Improve Generalization of Confidence Prediction in Medical Image Segmentation

Jonathan Lennartz, Thomas Schultz

Sequence models for continuous cell cycle stage prediction from brightfield images

Louis-Alexandre Leger, Maxine Leonardi, Andrea Salati, Felix Naef, Martin Weigert

A Balancing Act: Optimizing Classification and Retrieval in Cross-Modal Vision Models

Judith Lefkes, Clément Grisi, Geert Litjens

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

Synthetic Data Generated from CT Scans for Patient Pose Assessment

Manuel Laufer, Dominik Mairhöfer, Malte Sieren, Hauke Gerdes, Fabio Leal dos Reis

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

PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion

Amar Kumar, Anita Kriz, Mohammad Havaei, Tal Arbel

Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning

Pranav Kulkarni, Adway Kanhere, Eliot Siegel, Paul Yi, Vishwa Sanjay Parekh

Self-Supervised Synthetic Cerebral Vessel Tree Generation using Semantic Signed Distance Fields

Thijs P. Kuipers, Praneeta R. Konduri, Erik J Bekkers, Henk Marquering

Anatomy-Guided Multi-Path CycleGAN for Lung CT Kernel Harmonization

Aravind Krishnan, Thomas Li, Lucas Walker Remedios, Kaiwen Xu, Lianrui Zuo

HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification

Niklas Kormann, Masoud Ramuz, Zeeshan Nisar, Nadine S. Schaadt, Hendrik Annuth

I2I-Galip: Unsupervised Medical Image Translation Using Generative Adversarial CLIP

Yilmaz Korkmaz, Vishal M. Patel

MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration

Mokshagna Sai Teja Karanam, Krithika Iyer, Sarang Joshi, Shireen Elhabian

Unsupervised Cellular Anomaly Detection in Toxicological Histopathology

Saketh Juturu, Geetank Raipuria, Raghav Amaravadi, Aman Srivastava, Malini Roy

Feature Attribution for Deep Learning Models through Total Variance Decomposition

Yinzhu Jin, Shen Zhu, Tom Fletcher

Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images

Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan

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

BinaryFormer: 1-bit self-attention for long-range transformers in medical image segmentation and 3D diffusion models

Mattias P Heinrich

Fast forward: Rephrasing 3D deformable image registration through density alignment and splatting

Mattias P Heinrich, Alexander Bigalke, Lasse Hansen

Curriculum Learning for Language-guided, Multi-modal Detection of Various Pathologies

Laurenz Adrian Heidrich, Aditya Rastogi, Priyank Upadhya, Gianluca Brugnara, Martha Foltyn-Dumitru

An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images

Savannah Hays, Lianrui Zuo, Blake E. Dewey, Samuel Remedios, Jinwei Zhang

Symmetric Multi-level Gradient-Inverse Consistency Network for Brain Image Registration with Large Deformation

Haoying Bai, Tongtong Che, Jichang Zhang, Shuyu Li

PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization

Alexis Guichemerre, Soufiane Belharbi, Mohammadhadi Shateri, Luke McCaffrey, Eric Granger

Segment Anything for Histopathology

Titus Griebel, Anwai Archit, Constantin Pape

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

Mitigating analytical variability in fMRI with style transfer

Elodie Germani, Camille Maumet, Elisa Fromont

Multi-centric Comparison of Deep Learning Models for Lesion Detection in Breast MRI

Kai Geißler, Markus Wenzel, Susanne Diekmann, Heinrich von Busch, Robert Grimm

Machine Learning with Scarce Data: Ejection Fraction Prediction Using PLAX View

Zhiyuan Gao, Dominic Yurk, Yaser S. Abu-Mostafa

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

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

FLAIRBrainSeg: Fine-Grained Brain Segmentation Using FLAIR MRI Only

Le Bot Edern, Rémi Giraud, Boris Mansencal, Thomas Tourdias, Jose V Manjon

Can Diffusion Models Generalize? Privacy and Fairness Trade-offs for Medical Data Sharing.

Mischa Dombrowski, Bernhard Kainz

A knowledge-based method for detecting network-induced shape artifacts in synthetic images

Rucha Deshpande, Miguel Lago, Adarsh Subbaswamy, Seyed Kahaki, Jana G Delfino

MedDelinea: Scalable and Efficient Medical Image Segmentation via Controllable Diffusion Transformers

Gayatri Deshmukh, Onkar Kishor Susladkar, Debesh Jha, Elif Keles, Halil Ertugrul Aktas

Visual Prompt Engineering for Vision Language Models in Radiology

Stefan Denner, Markus Ralf Bujotzek, Dimitrios Bounias, David Zimmerer, Raphael Stock

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

SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation

Badhan Kumar Das, Ajay Singh, Saahil Islam, Gengyan Zhao, Andreas Maier

Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis

Valentina Corbetta, Regina Beets-Tan, Jaime S Cardoso, Wilson Silva

Predicting the Year of Total Knee Replacement: A Transformer-Based Multimodal Approach

Ozkan Cigdem, Refik Soyak, Kyunghyun Cho, Cem M Deniz

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

Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales

Zijie Cheng, Boxuan Li, Andre Altmann, Pearse Keane, Yukun Zhou

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology

Fuyao Chen, Yuexi Du, Tal Zeevi, Nicha C Dvornek, John A Onofrey

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