Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study.

Autor: Tang M; Department of Diagnostic Imaging, Hokkaido University Faculty of Medicine and Graduate School of Medicine, Sapporo, Japan.; Clinical AI Human Resources Development Program, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan.; Medical AI Research and Development Center, Hokkaido University Hospital, Sapporo, Japan., Sugiyama T; Medical AI Research and Development Center, Hokkaido University Hospital, Sapporo, Japan. takus1113@med.hokudai.ac.jp.; Department of Neurosurgery, Hokkaido University Graduate School of Medicine, North 15 West 7, Kita-ku, Sapporo, 060-8638, Japan. takus1113@med.hokudai.ac.jp., Takahari R; Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan., Sugimori H; Clinical AI Human Resources Development Program, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan.; Medical AI Research and Development Center, Hokkaido University Hospital, Sapporo, Japan.; Department of Biomedical Science and Engineering, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan., Yoshimura T; Department of Health Sciences and Technology, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan.; Department of Medical Physics, Hokkaido University Hospital, Sapporo, Japan., Ogasawara K; Clinical AI Human Resources Development Program, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan.; Department of Health Sciences and Technology, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan.; Graduate School of Engineering, College of Information and Systems, Muroran Institute of Technology, Muroran, Japan., Kudo K; Department of Diagnostic Imaging, Hokkaido University Faculty of Medicine and Graduate School of Medicine, Sapporo, Japan.; Clinical AI Human Resources Development Program, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan.; Medical AI Research and Development Center, Hokkaido University Hospital, Sapporo, Japan., Fujimura M; Department of Neurosurgery, Hokkaido University Graduate School of Medicine, North 15 West 7, Kita-ku, Sapporo, 060-8638, Japan.

Publikováno v: Neurosurgical review [Neurosurg Rev] 2024 May 09; Vol. 47 (1), pp. 200. Date of Electronic Publication: 2024 May 09.

The montage method improves the classification of suspected acute ischemic stroke using the convolution neural network and brain MRI.

Autor: Oura D; Department of Radiology, Otaru General Hospital, Otaru, 047-0152, Japan.; Graduate School of Health Sciences, Hokkaido University, Sapporo, 060-0812, Japan., Gekka M; Department of Neurosurgery, Otaru General Hospital, Otaru, 047-0152, Japan., Sugimori H; Faculty of Health Sciences, Hokkaido University, Sapporo, 060-0812, Japan. sugimori@hs.hokudai.ac.jp.

Publikováno v: Radiological physics and technology [Radiol Phys Technol] 2024 Mar; Vol. 17 (1), pp. 297-305. Date of Electronic Publication: 2023 Nov 07.

Correction to: Fully automatic quantification for hand synovitis in rheumatoid arthritis using pixel-classification-based segmentation network in DCE-MRI.

Autor: Fang W; Graduate School of Health Sciences, Hokkaido University, North-12 West-5, Kita-Ku, Sapporo, 060-0812, Japan., Mao Y; Graduate School of Health Sciences, Hokkaido University, North-12 West-5, Kita-Ku, Sapporo, 060-0812, Japan., Wang H; Graduate School of Health Sciences, Hokkaido University, North-12 West-5, Kita-Ku, Sapporo, 060-0812, Japan., Sugimori H; Faculty of Health Sciences, Hokkaido University, North-12 West-5, Kita-Ku, Sapporo, 060-0812, Japan., Kiuch S; AIC Yaesu Clinic, C-Road Bldg., 2-1-18, Nihonbashi, Chuo-Ku, Tokyo, Japan., Sutherland K; Global Center for Biomedical Science and Engineering, Hokkaido University, North-15 West-7, Kita-Ku, Sapporo, 060-8638, Japan., Kamishima T; Faculty of Health Sciences, Hokkaido University, North-12 West-5, Kita-Ku, Sapporo, 060-0812, Japan. ktamotamo2@gmail.com.

Publikováno v: Japanese journal of radiology [Jpn J Radiol] 2024 Oct; Vol. 42 (10), pp. 1198.

Artificial Intelligence Quantification of Enhanced Synovium Throughout the Entire Hand in Rheumatoid Arthritis on Dynamic Contrast-Enhanced MRI.

Autor: Mao Y; Graduate School of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan., Imahori K; Graduate School of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan., Fang W; Graduate School of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan., Sugimori H; Faculty of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan., Kiuch S; AIC Yaesu Clinic, Tokyo, Japan., Sutherland K; Global Center for Biomedical Science and Engineering, Hokkaido University, Sapporo, Hokkaido, Japan., Kamishima T; Faculty of Health Sciences, Hokkaido University, Sapporo, Hokkaido, Japan.

Publikováno v: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 May 28. Date of Electronic Publication: 2024 May 28.

Assessment of accuracy and repeatability of quantitative parameter mapping in MRI.

Autor: Hirano Y; Department of Radiological Technology, Hokkaido University Hospital, N15, W7, Kita-Ku, Sapporo, 060-8638, Japan., Ishizaka K; Department of Radiological Technology, Hokkaido University Hospital, N15, W7, Kita-Ku, Sapporo, 060-8638, Japan., Sugimori H; Faculty of Health Sciences, Hokkaido University, Sapporo, 060-0812, Japan.; Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo, Hokkaido, 060-8648, Japan., Taniguchi Y; Medical Systems Research & Development Center, FUJIFILM Corporation, Tokyo, Japan., Amemiya T; Medical Systems Research & Development Center, FUJIFILM Corporation, Tokyo, Japan., Bito Y; FUJIFILM Healthcare Corporation, Tokyo, Japan.; Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, N15, W7, Kita-Ku, Sapporo, 060-8638, Japan., Kudo K; Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, N15, W7, Kita-Ku, Sapporo, 060-8638, Japan. kkudo@med.hokudai.ac.jp.; Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, N15, W7, Kita-Ku, Sapporo, 060-8638, Japan. kkudo@med.hokudai.ac.jp.

Publikováno v: Radiological physics and technology [Radiol Phys Technol] 2024 Dec; Vol. 17 (4), pp. 918-928. Date of Electronic Publication: 2024 Aug 28.