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Automatic Quantitative Identification of Disproportionately Enlarged Subarachnoid-Space Hydrocephalus in iNPH Using Deep Learning Models

Author:SHIGEKI YAMADA  Hirotaka Ito  Hironori Matsumasa  Satoshi Ii  Tomohiro Otani  Motoki Tanikawa  Chifumi Iseki  Yoshiyuki Watanabe  Shigeo Wada  Marie Oshima  Mitsuhito Mase  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Deep Learning Segmentation Applied to Evaluate Neurofluids  

Program Number:2479  

Room Session:Exhibition Hall (Hall 403)  

Institution:FUJIFILM Corporation  Nagoya City University Graduate School of Medical Science  Osaka University  Shiga University of Medical Science  The University of Tokyo  Tohoku University Graduate School of Medicine  Tokyo Metropolitan University  Yamagata Univers  

Evaluation of diffusion functional magnetic resonance imaging for spatial specificity of brain activation in response to visual stimulation

Author:Ikuhiro Kida  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:fMRI Acquisition I  

Program Number:3312  

Room Session:Exhibition Hall (Hall 403)  

Institution:National Institute of Information and Communications Technology  Osaka University