Special Interest Group on Explainable AI for Medical Image Analysis

Mission:

The primary mission of SIG-xMedIA is to strengthen the exchange between research groups focused on explainable AI for real-world medical image analysis. By organizing satellite events at MICCAI conferences and biennial international workshops, SIG-xMedIA aims to:

• Facilitate Collaboration: Provide platforms for researchers to collaborate, share insights, and collectively drive advancements in XAI.
• Curate Datasets: Organize challenges like CARE (http://zmic.org.cn/care_2024/), curating standard and public real-world medical image datasets for model development and evaluation.
• Financial Support for Education: Support tutorials, workshops, and educational initiatives to encourage diverse participation and foster best practices in the field.

Through these initiatives, SIG-xMedIA aspires to make significant contributions to the development of XAI, promoting openness, transparency, and community-driven progress in real-world medical image analysis.

Goals:

1. Establish a Specialized Community:

- Create a global community of researchers and clinicians dedicated to advancing XAI in medical image analysis.

- Connect diverse perspectives and disciplines to collectively address challenges and opportunities in the field.

2. Promote XAI in MedIA:

- Facilitate collaboration among research groups to advance the development of explainable AI in real-world medical image analysis, which also sustains high consensus with clinicians.

- Encourage consensus-building on principles guiding model design and evaluation.

3. Provide a Platform for Collaboration and Education:

- Create a platform for the exchange of ideas of explaining AI, methodologies of understanding decision-making process, and clinical practices of interpreting disease causes.

- Foster collaboration through satellite events, workshops, and challenges, ensuring an open and reliable stage for evaluations and training.

- Promote educational initiatives and opportunities in xMedIA to student communities by Student Board

Board members:

President: Dr. Shangqi Gao, University of Cambridge

Secretary: Dr. Nannan Shi, Shanghai Public Health Clinical Center, shinannan@shaphc.org

Treasurer: Dr. Fuping Wu, University of Oxford, fuping.wu@ndph.ox.ac.uk

Clinical Chair: Prof. Freddy Odille, University of Lorraine, freddy.odille@inserm.fr

Education Chair: Prof. Yufei Chen, Tongji University, yufeichen@tongji.edu.cn

Education Chair: Miss Hangqi Zhou, Fudan University, hqzhou21@m.fudan.edu.cn

Education Chair: Miss Sihan Wang, Fudan University, shwang21@m.fudan.edu.cn

Advisor: Prof. Alex Frangi, University of Manchester, a.frangi@manchester.ac.uk

Activities:

• Ongoing: In conjunction with MICCAI 2024 CARE Challenge: Towards real-world medical image analysis (10 May-10 October 2024)
• Upcoming: xMedIA Offline Forum in XIAMEN, CHINA (12 July-13 July 2024)
• Upcoming: xMedIA Online Seminar for career advice:  towards students and early career researchers (TBD)
• Upcoming: xMedIA Online Tutorial Lecture: Bayesian modelling for medical image segmentation (TBD)