Workshop
Workshop on Explainable AI in Biomedical Signal and Image Diagnosis -
XBD
2027
19 - 21 February, 2027 - Valletta, Malta
In conjunction with the 20th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2027
CHAIR
|
Malaya Kumar Nath
Independent Researcher
India
|
|
|
|
Short Bio
I am serving as an Assistant Professor in the Department of Electronics and Communication Engineering at NIT Puducherry and holding the post of Associate Dean of International Relations, Alumni, & Publicity. I served as the Head of the Department of Electronics and Communication Engineering from February 5, 2024, to January 23, 2025.
|
SCOPE
The workshop would bring together researchers, clinicians, engineers, and industry experts to discuss methods that improve the interpretability, reliability, and clinical acceptance of AI models for biomedical signals and medical images. It welcomes theoretical, methodological, and application-oriented contributions.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
IMPORTANT DATES
Paper Submission:
December 3, 2026
Authors Notification:
December 21, 2026
Camera Ready and Registration:
January 8, 2027
WORKSHOP PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.
After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).