Koichiro Yasaka

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The Univeristy of Tokyo

Japan

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Recent Grants

Grant: Open

深層学習が放射線画像診断医の腹部悪性腫瘍検出能に及ぼす影響

Open Date: 2022-04-01

Close Date: 2027-03-01

Grant: Close

パーキンソン病のマクロ神経回路異常の解明：先端的MRIと人工知能による統合解析

Open Date: 2018-11-01

Close Date: 2021-03-01

Grant: Close

深層学習法を用いた腹部画像診断法の開発

Open Date: 2018-04-01

Close Date:

Grant: Close

深層学習法を用いたCT画像における骨転移検出法の開発

Open Date: 2018-03-01

Close Date: 2019-03-01

Articles (10)

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Collaborators (3)

Osamu Abe

University of Tokyo Hospital

JAPAN

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Atsuto Katano

lecturer

University of Tokyo Hospital

JAPAN

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Shigeru Kiryu

Professor

JAPAN

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Koichiro Yasaka

Research Interests

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Recent Grants

Articles (10)

Fine-tuned large language model for classifying CT-guided interventional radiology reports

Fine-tuned large Language model for extracting newly identified acute brain infarcts based on computed tomography or magnetic resonance imaging reports

Comprehensive Genome Analysis Facilitates the Diagnosis of Ependymoma With ZFTA::NCOA2 Fusion.

Fine-Tuned Large Language Model for Extracting Pretreatment Pancreatic Cancer According to Computed Tomography Radiology Reports

Reducing motion artifacts in the aorta: super-resolution deep learning reconstruction with motion reduction algorithm

Deep learning reconstruction enhances image quality in contrast-enhanced CT venography for deep vein thrombosis.

Efficacy of a large language model in classifying branch-duct intraductal papillary mucinous neoplasms

Bronchiectasis and airspace enlargement surrounding the lung nodule in dual-energy CT pulmonary angiography: comparison between iodine map and monochromatic image

Super-Resolution Deep Learning Reconstruction for T2*-Weighted Images: Improvement in Microbleed Lesion Detection and Image Quality

Super-resolution deep learning reconstruction to evaluate lumbar spinal stenosis status on magnetic resonance myelography.

Collaborators (3)

Osamu Abe

Atsuto Katano

Shigeru Kiryu

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