DagRep.14.1.90.pdf
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The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042)
Authors and all authors of the abstracts in this report
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Issue:
Dagstuhl Reports, Volume 14, Issue 1
Volume: Dagstuhl Reports, Volume 14
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-07-30
Cite AsGet BibTex
Jianxu Chen, Florian Jug, Susanne Rafelski, and Shanghang Zhang. The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042). In Dagstuhl Reports, Volume 14, Issue 1, pp. 90-107, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/DagRep.14.1.90
https://doi.org/10.4230/DagRep.14.1.90
Abstract
This report documents the program and outcomes of Dagstuhl Seminar "The Emerging Issues in Bioimaging AI Publications and Research" (24042) held on January 21-24, 2024. The fast advancement of computational techniques, particularly those based on artificial intelligence (AI), has significantly propelled the field of computational biology. With the rapid development, new issues are emerging in bioimaging AI publications and research. For example, how can we properly validate the AI methods used in quantitative biological analysis? Also, the ethical aspects of these developments remain underexplored, lacking clear definitions and recognition within the community. The goal of this interdisciplinary seminar was to bring together experts from various fields, including experimental biology, computational biology, bioimage analysis, computer vision, and AI research, to identify, discuss and address the emerging issues in current bioimaging AI research and publications.
Subject Classification
ACM Subject Classification
- Applied computing → Imaging
- Computing methodologies → Artificial intelligence
Keywords
- artificial intelligence
- bioimaging
- open source
- publication ethics
- trustworthy ai
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