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Yamada, Tomonari, Yoshimura, Takaaki, Ichikawa, Shota, Sugimori, Hiroyuki (2025) Improving Cerebrovascular Imaging with Deep Learning: Semantic Segmentation for Time-of-Flight Magnetic Resonance Angiography Maximum Intensity Projection Image Enhancement. Applied Sciences, 15 (6). doi:10.3390/app15063034

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Reference TypeJournal (article/letter/editorial)
TitleImproving Cerebrovascular Imaging with Deep Learning: Semantic Segmentation for Time-of-Flight Magnetic Resonance Angiography Maximum Intensity Projection Image Enhancement
JournalApplied Sciences
AuthorsYamada, TomonariAuthor
Yoshimura, TakaakiAuthor
Ichikawa, ShotaAuthor
Sugimori, HiroyukiAuthor
Year2025 (March 11)Volume15
Issue6
PublisherMDPI AG
DOIdoi:10.3390/app15063034Search in ResearchGate
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Mindat Ref. ID18151941Long-form Identifiermindat:1:5:18151941:8
GUID0
Full ReferenceYamada, Tomonari, Yoshimura, Takaaki, Ichikawa, Shota, Sugimori, Hiroyuki (2025) Improving Cerebrovascular Imaging with Deep Learning: Semantic Segmentation for Time-of-Flight Magnetic Resonance Angiography Maximum Intensity Projection Image Enhancement. Applied Sciences, 15 (6). doi:10.3390/app15063034
Plain TextYamada, Tomonari, Yoshimura, Takaaki, Ichikawa, Shota, Sugimori, Hiroyuki (2025) Improving Cerebrovascular Imaging with Deep Learning: Semantic Segmentation for Time-of-Flight Magnetic Resonance Angiography Maximum Intensity Projection Image Enhancement. Applied Sciences, 15 (6). doi:10.3390/app15063034
In(2025, March) Applied Sciences Vol. 15 (6). MDPI AG

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