CVMar 4, 2021

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference

arXiv:2103.05437v23 citations
Originality Synthesis-oriented
AI Analysis

This work targets the MICCAI community by offering incremental guidelines to enhance conference processes.

The paper addresses challenges in the MICCAI conference, such as reproducibility, diversity, and paper selection, by summarizing insights from a hackathon event that proposed measures to improve these aspects.

The MICCAI conference has encountered tremendous growth over the last years in terms of the size of the community, as well as the number of contributions and their technical success. With this growth, however, come new challenges for the community. Methods are more difficult to reproduce and the ever-increasing number of paper submissions to the MICCAI conference poses new questions regarding the selection process and the diversity of topics. To exchange, discuss, and find novel and creative solutions to these challenges, a new format of a hackathon was initiated as a satellite event at the MICCAI 2020 conference: The MICCAI Hackathon. The first edition of the MICCAI Hackathon covered the topics reproducibility, diversity, and selection of MICCAI papers. In the manner of a small think-tank, participants collaborated to find solutions to these challenges. In this report, we summarize the insights from the MICCAI Hackathon into immediate and long-term measures to address these challenges. The proposed measures can be seen as starting points and guidelines for discussions and actions to possibly improve the MICCAI conference with regards to reproducibility, diversity, and selection of papers.

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