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

Authors: Jianxu Chen, Florian Jug, Susanne Rafelski, and Shanghang Zhang

Published in: Dagstuhl Reports, Volume 14, Issue 1 (2024)


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.

Cite as

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)


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@Article{chen_et_al:DagRep.14.1.90,
  author =	{Chen, Jianxu and Jug, Florian and Rafelski, Susanne and Zhang, Shanghang},
  title =	{{The Emerging Issues in Bioimaging AI Publications and Research (Dagstuhl Seminar 24042)}},
  pages =	{90--107},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{1},
  editor =	{Chen, Jianxu and Jug, Florian and Rafelski, Susanne and Zhang, Shanghang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.1.90},
  URN =		{urn:nbn:de:0030-drops-204928},
  doi =		{10.4230/DagRep.14.1.90},
  annote =	{Keywords: artificial intelligence, bioimaging, open source, publication ethics, trustworthy ai}
}
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