ECCV 2026 Workshop · Afternoon · In-Person

Medical Foundation Models
and Benchmarks

Advancing the co-evolution of medical foundation models and benchmarking — from pretraining objectives and multimodal alignment to evaluation protocols that diagnose robustness, generalization, and evidence consistency.

Sep 8, 2026 Afternoon In conjunction with ECCV 2026
May 20, 2026 GMT−7
Submission portal is now open on OpenReview New

Submissions are accepted for both Regular and Nectar tracks.

Submit now

Why Medical Foundation Models & Benchmarks?

Medical foundation models are rapidly reshaping medical image understanding, enabling stronger generalization and more unified learning across modalities (X-ray, CT, MRI, ultrasound) and tasks such as classification, detection, segmentation, report generation, and multimodal reasoning. A key differentiator of this workshop is the explicit focus on the co-evolution of foundation models and benchmarking — not only building stronger models, but also establishing evaluation protocols that diagnose robustness, cross-site generalization, and evidence consistency.

Pillar I

Foundation Model Design & Learning

Model architectures, large-scale pretraining and self-supervised learning, multimodal learning, alignment, cross-modality reasoning, and efficient fine-tuning and adaptation strategies.

ArchitecturesSelf-supervised learningMultimodal alignmentEfficient fine-tuning
Pillar II

Data, Scaling & Generalization

Global-scale multi-institution datasets, collaboration frameworks and governance, privacy-preserving learning (federated learning), data curation, domain generalization under distribution shift, robustness, safety, and trustworthiness.

Data scalingFederated learningDomain shiftSafety & Trust
Pillar III

Benchmarking & Deployment

Evaluation standards, benchmark design, reproducible protocols, and clinical deployment — developing emerging benchmarks that diagnose robustness, generalization, and evidence consistency for high-stakes clinical settings.

BenchmarksReproducibilityClinical deploymentEvaluation protocols

Important Dates

All deadlines are at 23:59 Anywhere on Earth (AoE).

Paper Submission
Jul 1'26 11:59 PM (AoE)
Regular track and Nectar track submissions via OpenReview.
Final Decision
Jul 15'26 11:59 PM (AoE)
Authors notified of acceptance decisions.
Camera-Ready
Aug 15'26 11:59 PM (AoE)
Latest camera-ready deadline; workshop organizers may set an earlier deadline.
Workshop Day
Sep 8'26 Afternoon
Afternoon in-person workshop at ECCV 2026.

Invited Speakers

Leading researchers sharing complementary perspectives on medical foundation models, multimodal reasoning, and clinical AI.

Shekoofeh Azizi

Shekoofeh Azizi

Google DeepMind

Weidi Xie

Weidi Xie

Shanghai Jiao Tong University

Xiaoxiao Li

Xiaoxiao Li

UBC

Michael Moor

Michael Moor

ETH Zürich

Workshop Schedule

An afternoon program with four invited talks, a poster session with coffee break, best-paper oral spotlight, and a closing panel discussion.

TimeEventType
2:00 PM10 minOpening Remarks
Welcome and workshop overview from the organizers
2:10 PM30 minInvited Talk 1
Speaker to be announced
Keynote
2:40 PM30 minInvited Talk 2
Speaker to be announced
Keynote
3:10 PM60 min☕ Poster Session & Coffee Break
Interactive poster session — up to 30 posters on display
Poster
4:10 PM20 minBest Paper Oral Spotlight
Oral presentations from top-scoring submissions
Oral
4:30 PM30 minInvited Talk 3
Speaker to be announced
Keynote
5:00 PM30 minInvited Talk 4
Speaker to be announced
Keynote
5:30 PM30 minPanel Discussion
Open discussion on the future of medical foundation models & benchmarks
Panel

Submit Your Work

We invite submissions on all topics related to medical foundation models and benchmarking. The workshop features two submission tracks to broaden participation:

Regular Track

Peer-Reviewed Papers

Full papers in ECCV format. All papers will be reviewed via a standard double-blind OpenReview workflow by a dedicated program committee. Conflicts of interest handled per ECCV workshop policies. Accepted papers included in the workshop program for poster presentation.

Submission deadline: Jul 1'26 11:59 PM (AoE)

Nectar Track

Already Published Work

Papers already published and peer-reviewed at major CV/ML conferences or journals. Submissions will not be re-reviewed — the main criteria are topical fit and poster-board availability. Authors submit the paper via the workshop's OpenReview page.

Submission deadline: Jul 1'26 11:59 PM (AoE)

Review Process & Formatting

All submissions undergo double-blind review by program-committee members from academia and industry. Unpublished Regular Track papers that comply with the official ECCV 2026 policies may be included in the ECCV 2026 Workshop Proceedings or presented in a non-archival format at the authors' choice. Nectar Track papers (already published or under review elsewhere) are presented non-archivally only and will not appear in the proceedings; these submissions do not need to be anonymized. Submissions must be in English, submitted as a single PDF, and follow the official ECCV 2026 author kit (LaTeX template provided). Papers should be 7–14 pages excluding references.

Topics of Interest

Model architectures for medical foundation models
Large-scale pretraining and self-supervised learning
Multimodal learning, alignment, and cross-modality reasoning
Efficient fine-tuning and adaptation strategies
Global-scale, multi-institution datasets and data curation
Privacy-preserving and federated learning
Domain generalization and adaptation under distribution shift
Robustness, safety, and trustworthiness
Benchmark design, evaluation standards, and reproducible protocols
Clinical deployment and integration

Organizers & Advisors

Organizers

Xiangteng He

Xiangteng He

University of British Columbia

Xiaoxiao Sun

Xiaoxiao Sun

Stanford University

Kun Yuan

Kun Yuan

TU Munich & U. of Strasbourg

Ming Hu

Ming Hu

Monash University & Shanghai AI Laboratory

Congyi Zhang

Congyi Zhang

UT Dallas

Yuhui Zhang

Yuhui Zhang

Stanford University

Benjamin D. Killeen

Benjamin D. Killeen

TU Munich

Yue Yao

Yue Yao

Shandong University

Advisory Board

Nassir Navab

Nassir Navab

TU Munich

Nicolas Padoy

Nicolas Padoy

University of Strasbourg

Serena Yeung-Levy

Serena Yeung-Levy

Stanford University

Zongyuan Ge

Zongyuan Ge

Monash University

Purang Abolmaesumi

Purang Abolmaesumi

University of British Columbia

Leonid Sigal

Leonid Sigal

University of British Columbia

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

PC Team

Wenzhuo Zhou

Wenzhuo Zhou

Shandong University

OpenReview system email checks and notification support.

Wenzhuo Zhou supports OpenReview system email checks and notifications. Additional PC reviewers listed below submitted at least one official review; affiliations marked as pending will be updated after final verification.
Allan Kazakov
Bahçeşehir University
Jia He
Microsoft
Zhiheng Zhang
Technical University of Munich
Liping Meng
Affiliation to be confirmed
Jingyi He
Technical University of Munich
Roshan Kenia
Columbia University
Aoife Gardiner
University College London
Muhammad Muneeb Afzal
New York University
Bruce Changlong Xu
MAI Superintelligence
Tim Elsner
RWTH Aachen University
Yonghao Li
ShanghaiTech University
Guoxun Zhang
Affiliation to be confirmed
Gurucharan Marthi Krishna Kumar
McGill University
Haoyu Li
Affiliation to be confirmed
Cunhao Zhu
Shandong University
Md Muntaqim Meherab
Daffodil International University
Muhammad Umair Ahmad Khan
Affiliation to be confirmed
Wang-Chi-Shiun
Affiliation to be confirmed
Ruinan Jin
Affiliation to be confirmed
Lingguo Zeng
Affiliation to be confirmed
Ferran Soler-Guiral
Universitat Jaume I
Ka Young Kim
Affiliation to be confirmed
Mei Vaish
Affiliation to be confirmed
Théo Danielou
Affiliation to be confirmed
Ruochen Li
Affiliation to be confirmed
Sebastian Rassmann
Affiliation to be confirmed
Charles Corbière
Affiliation to be confirmed
Mingyang Li
Affiliation to be confirmed
Max Van Puyvelde
Stanford University / Ghent University
Quoc-Huy Trinh
Affiliation to be confirmed
Ailar Mahdizadeh
Affiliation to be confirmed
Lyuyang Wang
Affiliation to be confirmed
Elena Gensch
Affiliation to be confirmed
Pranav Sunil
Affiliation to be confirmed
Mingkang Zhou
Affiliation to be confirmed
Jiayu Chang
Affiliation to be confirmed
Nishchal Sapkota
Affiliation to be confirmed