%0 Conference Paper
%A Dada, Amin
%A Contreras, Amanda Butler
%A Seibold, Constantin
%A Koraş, Osman Alperen
%A Keyl, Julius
%A Chen, Aokun
%A Peng, Cheng
%A Brehmer, Alexander
%A Smith, Kaleb E.
%A Bian, Jiang
%A Wu, Yonghui
%A Kleesiek, Jens
%Y Jeong, Won-Ki
%Y Kim, Hyunwoo J.
%Y Deng, Zhongying
%Y Shen, Yiqing
%Y Aviles-Rivero, Angelica I
%Y Zhang, Shaoting
%T Improving Medical Visual Instruction Tuning with Labeled Datasets
%J Lecture Notes in Computer Science
%V 16112 LNCS
%C Cham
%I Springer Nature Switzerland
%M DKFZ-2025-02251
%@ 978-3-032-07844-5 (print)
%B Lecture Notes in Computer Science
%P 87 - 97
%D 2026
%Z Conference code 340609
%< Foundation Models for General Medical AI / Jeong, Won-Ki (Editor) [https://orcid.org/0000-0002-9393-6451] ; Cham : Springer Nature Switzerland, 2026, Chapter 9 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-032-07844-5=978-3-032-07845-2 ; doi:10.1007/978-3-032-07845-2
%B 3rd International Workshop on Foundation Models for Medical Artificial General Intelligence, MedAGI 2025, Held in Conjunction with the 28th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025
%C 27 Sep 2025 - 27 Sep 2025, Daejeon (South Korea)
Y2 27 Sep 2025 - 27 Sep 2025
M2 Daejeon, South Korea
%F PUB:(DE-HGF)16 ; PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Journal ArticleContribution to a conference proceedingsContribution to a book
%R DOI:10.1007/978-3-032-07845-2_9
%U https://inrepo02.dkfz.de/record/305601