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Spatial transcriptomics expression prediction from histopathology based on cross-modal mask reconstruction and contrastive learning.

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Bibliographic Details
Title:	Spatial transcriptomics expression prediction from histopathology based on cross-modal mask reconstruction and contrastive learning.
Authors:	Liu J; Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany., Eckstein M; Institute of Pathology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany; Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany; Comprehensive Cancer Center Alliance WERA (CCC WERA), Erlangen, Germany; Bavarian Cancer Research Center (BZKF), Erlangen, Germany., Wang Z; Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Feuerhake F; Institute for Pathology, Hanover Medical School, Hannover, Germany; Institute for Neuropathology, University Clinic Freiburg, Freiburg im Breisgau, Germany., Merhof D; Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany. Electronic address: Dorit.Merhof@informatik.uni-regensburg.de.
Source:	Medical image analysis [Med Image Anal] 2026 Feb; Vol. 108, pp. 103889. Date of Electronic Publication: 2025 Nov 25.
Publication Type:	Journal Article
Journal Info:	Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1361-8423
DOI:	10.1016/j.media.2025.103889