The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042)

Chen, Jianxu; Jug, Florian; Rafelski, Susanne; Zhang, Shanghang

doi:10.4230/DagRep.14.1.90

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The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042)

Authors Jianxu Chen, Florian Jug, Susanne Rafelski, Shanghang Zhang and all authors of the abstracts in this report

Part of: Issue: Dagstuhl Reports, Volume 14, Issue 1
Part of: Volume: Dagstuhl Reports, Volume 14
Part of: Journal: Dagstuhl Reports (DagRep)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2024-07-30

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DagRep.14.1.90.pdf

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Document Identifiers

DOI: 10.4230/DagRep.14.1.90
URN: urn:nbn:de:0030-drops-204928

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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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.

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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

Author Details

Jianxu Chen

ISAS - Dortmund, DE

Florian Jug

Human Technopole - Milano, IT

Susanne Rafelski

Allen Insitute for Cell Science - Seattle, US

Shanghang Zhang

Peking University, CN

and all authors of the abstracts in this report

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