// Publications
Accepted papers will be published in a Springer Lecture Notes in Computer Science (LNCS) volume. A valid paper submission is required for test-set evaluation, leaderboard inclusion, and award eligibility. Teams that do not submit a paper will not appear in the final ranking.
The detailed technical layout of the challenge, including comprehensive dataset statistics,
annotation workflows, and baseline model protocols, is available on arXiv:
EchoRisk: A
Multicentre Echocardiography Dataset and Benchmark for Cardio-Oncology.
Teams wishing to reference the official challenge setup, evaluation parameters, or baseline reference benchmarks in their methodology papers may use the following citation:
@misc{kalliatakis2026echorisk,
title={EchoRisk: A Multicentre Echocardiography Dataset and Benchmark for Cardio-Oncology},
author={Grigorios Kalliatakis and Georgia Karanasiou and Georgios Manikis and Manolis Tsiknakis and Dimitrios Fotiadis and Dorothea Tsekoura and Kalliopi Keramida and Vasileios Bouratzis and Lampros Lakkas and Katerina Naka and Andri Papakonstantinou and Anastasia Constantinidou and Kostas Marias},
year={2026},
eprint={2607.01039},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2607.01039},
}
Papers submitted by 7 July should describe the method and validation-set results.
// Content Guidelines
Each paper must clearly describe the following. Keep sections on task motivation and dataset description concise — reviewers are familiar with the challenge setup.
Questions? echorisk.miccai@gmail.com