DeepAI AI Chat
Log In Sign Up

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

by   Fabian Balsiger, et al.
Universität Bern
Insel Gruppe

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.


page 1

page 2

page 3

page 4


A Survey on the Geographic Diversity of Usable Privacy and Security Research

In human factor fields such as human-computer interaction (HCI), psychol...

A Collaborative Approach to Computational Reproducibility

Although a standard in natural science, reproducibility has been only ep...

Reproducibility Challenges and Their Impacts on Technical Q A Websites: The Practitioners' Perspectives

Software developers often look for solutions to their code-level problem...

Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective

Reproducibility is a key aspect for scientific advancement across discip...

Who are CUIs Really For? Representation and Accessibility in the Conversational User Interface Literature

The theme for CUI 2023 is 'designing for inclusive conversation', but wh...

Quality Guidelines for Research Artifacts in Model-Driven Engineering

Sharing research artifacts is known to help people to build upon existin...