HEADLINE 2026

Deadlines
NLP/CORE Unranked

HEADLINE 2026

HEADLINE: A Benchmark for Vision–Language Models in Head CT Reporting Challenge at MICCAI 2026

Sep 27 2026Strasbourg, FranceOfficial conference site Site reachable

The HEADLINE 2026 Challenge is a MICCAI satellite event focused on automated radiology report generation from 3D head CT scans using Vision-Language Models. It provides a large-scale, clinically validated dataset of over 16,000 cases to develop AI systems that produce accurate, structured, and safe clinical reports, evaluated through a hybrid framework combining automated metrics and expert radiologist review.

Key deadlines

Verified September 9, 2026

Full paper

July 26, 2026

AoE

Conference timeline

Submission and decisions

Full paperKey deadline

July 26, 2026 · AoE

Paper fit

Contribution paths

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

Short paper

A 6-8 page paper in Springer LNCS format describing the method, submitted via OpenReview, including Title, Authors, Abstract, Introduction, Methods, Results, and Conclusion.

Research areas in scope

01

Challenge Task

Automated radiology report generationVision-Language Models for medical imaging3D head CT analysisClinical NLP in emergency neuroradiologyFinding identification (hemorrhage, infarction, fractures, tumors)Anatomical localization and clinical significance reporting

Policies worth checking twice

  • Submissions must be provided as Docker containers executed on Grand Challenge infrastructure.
  • Participants must comply with computational constraints: 16 or 32 GB DRAM, NVIDIA T4 (16 GB VRAM) or A10G (24 GB VRAM), 20 minutes per batch of up to 5 studies.
  • Submissions must generate a report for every test case; failure results in a score of 0 for that case.
  • Participants may use publicly available external datasets and pre-trained models, as long as they are accessible to all at challenge start.
  • The dataset is not publicly available; access requires signing a Data Transfer and Usage Agreement (DUA) and is restricted to challenge use only.
  • No commercial use of the dataset is permitted.
  • Registration and method submissions are closed; only short papers via OpenReview are accepted.
  • All accepted short papers will be publicly released on the MICCAI website one week before the conference; authors must file patents prior to this release.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026