BraTS-GoAT 2026

Deadlines
AI/CORE Unranked

BraTS-GoAT 2026

BraTS-GoAT: Segmentation Generalizability of Brain Tumor Sub-regions Across Tumors in Pre-operative MRI 2026

1777629600000Strasbourg, FranceOfficial conference site Site reachable

The BraTS-GoAT 2026 Challenge is part of the 15th Brain Tumor Segmentation (BraTS) cluster at MICCAI 2026, organized in collaboration with leading clinical and research organizations. It focuses on advancing algorithmic solutions for clinically relevant brain tumor analysis through five distinct tasks, including segmentation, inpainting, and pathology-based classification, using high-quality annotated datasets and standardized evaluation pipelines.

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Docker submission

Containerized algorithm submission for automated evaluation on challenge datasets, required for all tasks.

Short paper

Manuscript describing methods and results, submitted via OpenReview for peer review and workshop consideration.

Copyright form

Mandatory signed form provided by organizers to confirm rights and permissions for published results.

Research areas in scope

01

BraTS 2026 Tasks

Brain Tumor Segmentation (Task 1)Pediatric Brain Tumor Segmentation (Task 2)Multi-modal Tumor Segmentation and Classification (Task 3)Tumor Inpainting (Task 4)Glioblastoma Classification from H&E Images (Task 5)

Policies worth checking twice

  • Submissions must include a Docker image, a short paper, and a signed copyright form to be valid.
  • Participants may only submit to either the Early Track or Standard Track, not both.
  • Docker submissions are limited to one validation queue quota per team, but manual reopens may be granted before the deadline.
  • No further deadline extensions will be granted after the final hard deadline of July 30th, 2026.
  • Author lists must be finalized before submission; corrections require organizer approval.
  • Use of pre-trained weights or external datasets must comply with challenge data use policies.