Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection.

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Bibliographic Details
Title: Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection.
Authors: Kovacs B; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany; DKFZ Heidelberg, Division of Radiology, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany; HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany., Zhang KS; DKFZ Heidelberg, Division of Radiology, Heidelberg, Germany., Baumgartner M; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany; DKFZ Heidelberg, Helmholtz Imaging, Heidelberg, Germany., Hielscher T; DKFZ Heidelberg, Division of Statistics, Heidelberg, Germany., Bounias D; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany., Netzer N; DKFZ Heidelberg, Division of Radiology, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany., Floca R; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany., Eith C; DKFZ Heidelberg, Division of Radiology, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany., Jäger PF; DKFZ Heidelberg, Helmholtz Imaging, Heidelberg, Germany; DKFZ Heidelberg, Interactive Machine Learning Group, Heidelberg, Germany., Meinzer C; DKFZ Heidelberg, Division of Radiology, Heidelberg, Germany., Isensee F; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany; DKFZ Heidelberg, Helmholtz Imaging, Heidelberg, Germany., Gnirs R; DKFZ Heidelberg, Division of Radiology, Heidelberg, Germany., Görtz M; DKFZ Heidelberg, Junior Clinical Cooperation Unit 'Multiparametric methods for early detection of prostate cancer', Heidelberg, Germany; Department of Urology, University of Heidelberg Medical Center, Germany., Hohenfellner M; Department of Urology, University of Heidelberg Medical Center, Germany., Stenzinger A; Institute of Pathology, University of Heidelberg Medical Center, Germany., Schlemmer HP; DKFZ Heidelberg, Division of Radiology, Heidelberg, Germany; German Cancer Consortium (DKTK), DKFZ, core center Heidelberg, Germany., Wolf I; Technical University of Applied Sciences Mannheim, Germany., Maier-Hein KH; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany; HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany; DKFZ Heidelberg, Helmholtz Imaging, Heidelberg, Germany; German Cancer Consortium (DKTK), DKFZ, core center Heidelberg, Germany; Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany., Bonekamp D; DKFZ Heidelberg, Division of Radiology, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany; German Cancer Consortium (DKTK), DKFZ, core center Heidelberg, Germany; National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany. Electronic address: d.bonekamp@dkfz-heidelberg.de.
Source: Magnetic resonance imaging [Magn Reson Imaging] 2026 Sep; Vol. 131, pp. 110698. Date of Electronic Publication: 2026 May 05.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8214883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5894 (Electronic) Linking ISSN: 0730725X NLM ISO Abbreviation: Magn Reson Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-5894
DOI:10.1016/j.mri.2026.110698