Conference paper
Participants must submit a 6-8 page paper on their algorithms and results, due July 23rd, 2026, as part of MICCAI 2026.
AI/CORE Unranked
AIMS-TBI 2026
Automated Identification of Moderate-Severe Traumatic Brain Injury Lesions Challenge 2026
The AIMS-TBI 2026 challenge, part of MICCAI 2026, focuses on automating the detection and segmentation of moderate-to-severe traumatic brain injury (msTBI) lesions using T1-weighted MRI data. It aims to address the limitations of current manual and automated methods by leveraging multi-cohort MRI datasets from the ENIGMA Consortium to develop robust, scalable algorithms that handle the heterogeneous nature of msTBI lesions.
Key deadlines
Verified September 9, 2026Full paper
July 23, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
July 23, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Tasks
Detect lesions in T1-weighted MRI data from moderate-severe TBISegment lesions in T1-weighted MRI data from moderate-severe TBI
Policies worth checking twice
- Participants must submit a 6-8 page paper for MICCAI 2026.
- Submission limit is 2 per team per phase (validation and test).
- Validation phase is for functional testing of containers, not preliminary performance evaluation.
- Final ranking is determined by the ranking scheme in the challenge PDF on GitHub, not the preliminary Grand Challenge leaderboard.
- Multimodal MRI data is available for training, but tasks focus on T1-weighted MRI outputs.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026