Optimizing MRI sequence classification performance: insights from domain shift analysis.

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Bibliographic Details
Title: Optimizing MRI sequence classification performance: insights from domain shift analysis.
Authors: Mahmutoglu MA; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Rastogi A; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Radiology and Clinical AI, University Hospital Bonn, Bonn, Germany., Brugnara G; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Radiology and Clinical AI, University Hospital Bonn, Bonn, Germany.; Division for Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany., Vollmuth P; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Radiology and Clinical AI, University Hospital Bonn, Bonn, Germany.; Division for Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany., Foltyn-Dumitru M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.; Department of Neuroradiology, Bonn University Hospital, Bonn, Germany.; Division for Computational Radiology and Clinical AI, University Hospital Bonn, Bonn, Germany., Sahm F; Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany.; Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany.; Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany., Pfister S; Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany.; Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany.; Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Department of Pediatric Oncology, Hematology & Immunology, Heidelberg University Hospital, Heidelberg, Germany., Sturm D; Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany.; Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Department of Pediatric Oncology, Hematology & Immunology, Heidelberg University Hospital, Heidelberg, Germany., Bendszus M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany., Schell M; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany. marianne.schell@med.uni-heidelberg.de.
Source: European radiology [Eur Radiol] 2025 Nov; Vol. 35 (11), pp. 6710-6718. Date of Electronic Publication: 2025 May 26.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1084
DOI:10.1007/s00330-025-11671-5