MIDL

Medical

829 papers · 2019–2026

MIDL (Medical Imaging with Deep Learning) focuses on deep learning methods for medical imaging.

Papers per year

112

118

109

221

'20

'25

Top authors

Daniel Rueckert 22 papers

Benedikt Wiestler 12 papers

Sébastien Ourselin 10 papers

Vishal M. Patel 10 papers

Tal Arbel 9 papers

Pranav Rajpurkar 9 papers

Bjoern Menze 9 papers

Nassir Navab 9 papers

S Kevin Zhou 8 papers

Yuankai Huo 8 papers

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their counts at this venue are combined. How identity is handled.

Newest papers

Harmonizing MR Images Across 100+ Scanners: Multi-site Validation with Traveling Subjects and Real-world Protocols 2026

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 2026

Multi-site Benchmarking of Deep Learning Models for Intraparenchymal Hemorrhage Segmentation on NCCT 2026

Virtual-Eyes: Quantitative Validation of a Lung CT Quality-Control Pipeline for Foundation-Model Cancer Risk Prediction 2026

Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance 2026

Scalable Detection of Undiagnosed ILD in Population Screening: A Multi-Cohort Study using 3D Foundation Models 2026

UMamba-ProSSL: Self-Supervised Large-Scale Pretraining with Multi-Task UMamba Advances Prostate Cancer Detection in Biparametric MRI 2026

On the Stability and Robustness of Vision Transformers for Neurodegenerative Disease Classification 2026

Can Vision Language Models Track a Heartbeat? A Benchmark on Frame-Level Echocardiogram Understanding 2026

A comprehensive benchmark of graph neural networks, graph kernels, and classical machine learning approaches on rs-fMRI brain graphs 2026

Evaluation of 3D Ultrasound Reconstruction and 2D/3D Segmentation for Neonatal Hip Dysplasia Screening 2026

Impact of uncertainty maps on manual editing of rectal cancer segmentation in radiotherapy 2026

Deep Learning for Liver Disease Stratification: Findings from UKBB MRI 2026

Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data 2026

A Comprehensive Benchmarking and Systematic Analysis of Deep Learning Models for Sonomammogram Segmentation 2026

Multicenter Morphometric Analysis of Stratum Corneum Nanotexture for Skin Barrier Assessment 2026

ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges 2026

Deep Learning Based Emboli Detection Using Ultrasound Doppler Imaging 2026

Benchmarking the Reproducibility of Brain Tissue Segmentation Across MRI Scanners 2026

Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty 2026

All MIDL 2026 papers →