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

Authors

Cara E. Morin (ORCID: https://orcid.org/0000-0003-1953-4486)
Xiaodong Zhong (ORCID: https://orcid.org/0000-0001-8355-5279)
Zachary R. Abramson (ORCID: https://orcid.org/0000-0001-7875-1187)
Utsav Shrestha (ORCID: https://orcid.org/0000-0002-6380-4423)
Aaryani Tipirneni-Sajja
Stephan Kannengiesser

Institutions

Cincinnati Children's Hospital Medical Center (US)
St. Jude Children's Research Hospital (US)
Siemens (Germany) (DE)
University of California, Los Angeles (US)
Siemens Healthineers (Germany) (DE)
University of Houston (US)
University of Cincinnati Medical Center (US)
University of Memphis (US)

Publication Details

Journal: BMC Medical Imaging
Published: 2026-02-26
DOI: https://doi.org/10.1186/s12880-026-02227-0
Primary Topic: Hemoglobinopathies and Related Disorders
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Cara E. Morin, Xiaodong Zhong, Zachary R. Abramson, Utsav Shrestha et al.

Feb 26, 2026

BMC Medical Imaging

Hemoglobinopathies and Related Disorders

article

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

Cara E. Morin, Xiaodong Zhong, Zachary R. Abramson, Utsav Shrestha, Aaryani Tipirneni-Sajja, Stephan Kannengiesser

February 26, 2026article en

Abstract

No abstract available for this paper.

BMC Medical ImagingVol. 26(1)

Cincinnati Children's Hospital Medical Center (US), St. Jude Children's Research Hospital (US), Siemens (Germany) (DE), University of California, Los Angeles (US), Siemens Healthineers (Germany) (DE), University of Houston (US), University of Cincinnati Medical Center (US), University of Memphis (US)

Openalex Percentile: Top 44%

Hemoglobinopathies and Related Disorders

DOI Open Access PDF OpenAlex

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