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Advances in IPMN imaging: deep learning-enhanced HASTE improves lesion assessment.

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Bibliographic Details
Title:	Advances in IPMN imaging: deep learning-enhanced HASTE improves lesion assessment.
Authors:	Kolck J; Charité-Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany. Johannes.kolck@charite.de., Pivetta F; Charité-Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany., Hosse C; Charité-Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany., Cao H; Charité-Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany., Fehrenbach U; Charité-Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany., Malinka T; Charité-Universitätsmedizin Berlin, Department of Surgery CCM/CVK, Berlin, Germany., Wagner M; Charité-Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany., Walter-Rittel T; Charité-Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany., Geisel D; Charité-Universitätsmedizin Berlin, Department of Radiology, Berlin, Germany.
Source:	European radiology [Eur Radiol] 2026 Jan; Vol. 36 (1), pp. 618-626. Date of Electronic Publication: 2025 Jul 21.
Publication Type:	Journal Article
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/s00330-025-11857-x