Deep Learning Reconstruction on Quantitative Analysis in Brain Tumors With Diffusion‐Weighted Imaging and Dynamic Susceptibility Contrast Imaging

Authors

So Lyung Jung (ORCID: https://orcid.org/0000-0002-3267-8399)
Geunu Jeong (ORCID: https://orcid.org/0000-0001-8207-2793)
Yangsean Choi (ORCID: https://orcid.org/0000-0003-1674-7101)
Hye Jeong Kim
Jiyeon Park
Jeong Jin Kim
E-Nae Cheong
Ji Eun Park
Ho Sung Kim

Institutions

Ulsan College (KR)
Johns Hopkins University (US)
Johns Hopkins Medicine (US)
Asan Medical Center (KR)
University of Ulsan (KR)
Korea Air Force Academy (KR)

Publication Details

Journal: Journal of Magnetic Resonance Imaging
Published: 2026-03-07
DOI: https://doi.org/10.1002/jmri.70286
Primary Topic: Functional Brain Connectivity Studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning Reconstruction on Quantitative Analysis in Brain Tumors With Diffusion‐Weighted Imaging and Dynamic Susceptibility Contrast Imaging

So Lyung Jung, Geunu Jeong, Yangsean Choi, Hye Jeong Kim et al.

Mar 7, 2026

Journal of Magnetic Resonance Imaging

Functional Brain Connectivity Studies

article

Deep Learning Reconstruction on Quantitative Analysis in Brain Tumors With Diffusion‐Weighted Imaging and Dynamic Susceptibility Contrast Imaging

So Lyung Jung, Geunu Jeong, Yangsean Choi, Hye Jeong Kim, Jiyeon Park, Jeong Jin Kim, E-Nae Cheong, Ji Eun Park, Ho Sung Kim

March 7, 2026article en

Abstract

No abstract available for this paper.

Journal of Magnetic Resonance Imaging

Ulsan College (KR), Johns Hopkins University (US), Johns Hopkins Medicine (US), Asan Medical Center (KR), University of Ulsan (KR), Korea Air Force Academy (KR)

Openalex Percentile: Top 35%

Functional Brain Connectivity Studies

DOI Source OpenAlex

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