Generalized U-Net for automatic liver segmentation and R2* estimation for assessment of iron overload using MRI.

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Bibliographic Details
Title: Generalized U-Net for automatic liver segmentation and R2* estimation for assessment of iron overload using MRI.
Authors: Shrestha U; Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA.; Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA., Abramson ZR; Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA., Kannengiesser S; Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany., Zhong X; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA., Morin CE; Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA.; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA.; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA., Tipirneni-Sajja A; Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA. asajja@uh.edu.; Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA. asajja@uh.edu.; Department of Biomedical Engineering, University of Houston, Houston, TX, USA. asajja@uh.edu.; Department of Biomedical Sciences, University of Houston, Houston, TX, USA. asajja@uh.edu.
Source: BMC medical imaging [BMC Med Imaging] 2026 Feb 26; Vol. 26 (1). Date of Electronic Publication: 2026 Feb 26.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2342
DOI:10.1186/s12880-026-02227-0