MICCAI 2026 — Abu Dhabi, United Arab Emirates

Breast Imaging Group MRI Challenge

October 8, 2026ADNEC CenterDeepBreath Workshop
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01
BC_risk

Can machines learn to predict cancer risk?

The Breast Imaging Group Challenge.....

03Timeline

Important Dates

October82026
ADNEC Center
Abu-Dhabi
United Arab Emirates

April 10, 2026

Website Up

Friday, 9:00 AM

TBA, 2026

Dataset Documentation Release

...

TBA, 2026

Dataset Release

....

TBA, 2026

First Phase Submissions

....

All deadlines are CET (Central European Time (CET)).
04Call for Papers

Submit Your Work

Track I

Image-Based

Instructions will be announced.

Length
5–8 pages
Format
... Style
Review
Double-blind
Supplementary
Optional
Track II

Multimodal-Based

Instructions will be announced.

Length
5-8 pages
Format
... Style
Review
Double-blind
Supplementary
Optional
Submission Portal

Submit via OpenReview

There are two tracks — please submit to the appropriate track (Image-Based or Multimodal-Based) on the submission site.

⚠ Select the correct track when submitting

Submit on OpenReview ↗
05Grand Challenge

BIG MRI Challenge features two competitive tracks. Participants are invited to develop novel methods for analysing and predicting short term cancer risks.

Dataset

Dataset Introduction

We will release a dataset comprising of de-identified breast MRI exams from a very high-risk screening cohort at Radboudumc. The dataset will be distributed via Hugging Face in NIfTI format alongside a de-identified clinical table. More details about the data and relevant documentation will be released later. .....

....

Dataset & Baseline

Competition

Two Challenge Tracks

The challenge is organized in two parallel tracks via the Grand Challenge platform. Participants may choose to focus on one or both. Both tracks will predict absolute 2- and 5-year incident breast cancer risk per woman, evaluated on the blinded held-out test set.

Challenge Track 1

Image-Based Risk Prediction

Given ....

GrandChallenge: Track 1 competition →
Challenge Track 2

Multimodal-Based Risk Prediction

Given...

GrandChallenge: Track 2 competition →
Track 1

Image-Based Risk Prediction

Participate: Track 1 on GC

Introduction

Model Input and Output

More information will be released in due time.

Evaluation Metrics

Please refer to the official challenge documentation for detailed evaluation specifications.
Track 2

Multimodal Risk Prediction

Participate: Track 2 on GC

Introduction

Model Input and Output

Evaluation Metrics

Please refer to the official challenge documentation for detailed evaluation specifications.
08Organizers

Organizing Committee

Nika RasoolzadehLead Organizer

Nika Rasoolzadeh

PhD Candidate, Radboudumc/NKI

Tianyu ZhangOrganizer

Tianyu Zhang

AI Scientist, Radboudumc/NKI

Xin WangOrganizer

Xin Wang

Postdoc, NKI/Radboudumc

Jonas TeuwenOrganizer

Jonas Teuwen

AI for Oncology Group Leader, NKI/Radboudumc

Henkjan HuismanOrganizer

Henkjan Huisman

HealthyAI Director/DIAG, Radboudumc

Ritse MannOrganizer

Ritse Mann

BIG Group Leader, Radboudumc/NKI

Support

Sponsors


Get in Touch
Contact

Questions?

For inquiries, contact Nika Rasoolzadeh via this link.