Deep learning reconstruction for liver DWI: impact on image quality and ADC quantification

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Publication Details

Journal
European Journal of Radiology
Published
2026-05-01
DOI
https://doi.org/10.1016/j.ejrad.2026.112925
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning reconstruction for liver DWI: impact on image quality and ADC quantification

Yukichi Tanahashi, Hanae Hasegawa, Syoya Haseyama, Satoshi Goshima et al.
European Journal of Radiology
Medical Imaging Techniques and Applications
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Deep learning reconstruction for liver DWI: impact on image quality and ADC quantification

Yukichi Tanahashi, Hanae Hasegawa, Syoya Haseyama, Satoshi Goshima, Kumi Ozaki, Shota Ishida
article en

Abstract

No abstract available for this paper.
European Journal of Radiology
Hamamatsu University School of Medicine (JP), Kyoto College of Medical Science (JP)
Openalex Percentile: Top 8%
Medical Imaging Techniques and Applications
DOIOpen Access PDFOpenAlex
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Deep learning reconstruction for liver DWI: impact on image quality and ADC quantification — Yukichi Tanahashi, Hanae Hasegawa, et al. · European Journal of Radiology (2026) | TGRS Research Map | TGRS