Matsubara Keisuke

マツバラケイスケ | Matsubara Keisuke

Affiliation and department：
Job title： Associate Professor

Research field (3)： Medical systems , Biological, health, and medical informatics , Radiology

Research keywords (5)：深層学習 , 機械学習 , 人工知能 , 核医学 , 医用画像工学

Research theme for competitive and other funds (8)：

2023 - 2026 Non-invasive quatitative PET by deep learning of arterial input function
2021 - 2024 Non-invasive monitoring of intra-brain drug concentration using near-infrared spectroscopy (chemical NIRS)
2019 - 2023 Novel concept of IVR system based on object identification in X-ray fluroscopic images for drastic dose reduction
2019 - 2022 Preliminary study for deep learning of MR images to predict maps for cerebral blood flow and metabolism
2017 - 2020 PET-NIRS fusion imaging for advanced diagnosis of Alzheimer's disease and elucidation of brain function

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Papers (33)：

Yuki Shinohara, Masanobu Ibaraki, Keisuke Matsubara, Kaoru Sato, Hiroyuki Yamamoto, Toshibumi Kinoshita. Visualization of small brain nuclei with a high-spatial resolution, clinically available whole-body PET scanner. Annals of Nuclear Medicine. 2023. 38. 2. 154-161
Yuya Onishi, Fumio Hashimoto, Kibo Ote, Keisuke Matsubara, Masanobu Ibaraki. Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising. IEEE Transactions on Radiation and Plasma Medical Sciences. 2023
Keisuke Matsubara, Masanobu Ibaraki, Toshibumi Kinoshita. DeepPVC: prediction of a partial volume-corrected map for brain positron emission tomography studies via a deep convolutional neural network. EJNMMI physics. 2022. 9. 1. 50-50
Masanobu Ibaraki, Keisuke Matsubara, Yuki Shinohara, Miho Shidahara, Kaoru Sato, Hiroyuki Yamamoto, Toshibumi Kinoshita. Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging. Annals of nuclear medicine. 2022
Keisuke Matsubara, Masanobu Ibaraki, Mitsutaka Nemoto, Hiroshi Watabe, Yuichi Kimura. A review on AI in PET imaging. Annals of nuclear medicine. 2022. 36. 2. 133-143

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MISC (28)：

茨木正信, 中村和浩, 篠原祐樹, 松原佳亮, 木下俊文. pCASL CBF測定における動脈血T1値の個人差由来誤差. 脳循環代謝(Web). 2018. 30. 1
山尾天翔, 山尾天翔, 三輪建太, 松原佳亮, 我妻慧, 上高祐人, 根本玲央, 松田博史. 11C-PiB画像に対する部分容積効果補正法の組合せによる定量性の評価. 核医学(Web). 2018. 55. Supplement
Keisuke Matsubara, Masanobu Ibaraki, Hitoshi Shimada, Yoko Ikoma, Tetsuya Suhara, Toshibumi Kinoshita, Hiroshi Ito. Impact of spillover from white matter by partial volume effect on quantification of amyloid deposition with [C-11]PiB PET (vol 143, pg 316, 2016). NEUROIMAGE. 2017. 153. 411-411
M. Ibaraki, K. Nakamura, H. Toyoshima, K. Takahashi, K. Matsubara, J. Pfeuffer, H. Kuribayashi, T. Kinoshita. Effect of background suppression and motion correction on pseudo-continuous arterial spin labeling CBF measurement. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM. 2017. 37. 359-360
茨木正信, 中村和浩, 豊嶋英仁, 高橋一広, 松原佳亮, JOSEF Pfeuffer, 栗林秀人, 木下俊文. pCASL CBFマップ変動係数による脳循環評価の可能性:PETとの比較による検証. 脳循環代謝(Web). 2017. 29. 1

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Lectures and oral presentations (7)：

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Education (3)：

2007 - 2010 Nara Institute of Science and Technology
2005 - 2007 Nara Institute of Science and Technology
2001 - 2005 Ritsumeikan University College of Science and Engineering Department of Applied Chemistry

Professional career (3)：

Work history (5)：

2022/04 - 現在 Akita Prefectural University Department of Management Science and Engineering, Faculty of Systems Science and Technology Associate Professor
2020/04 - 2022/03 Akita Cerebrospinal and Cardiovascular Center
2019/03 - 2020/03 Akita Cerebrospinal and Cardiovascular Center
2010/04 - 2019/02 Research Institute for Brain and Blood Vessels - AKITA
2013/06 - 2014/03 Johns Hopkins University

Awards (6)：

2022/04 - Doi Award Iterative framework for image registration and partial volume correction in brain positron emission tomography
2020/04 - IOP Publishing Outstanding Reviewer Awards
2017/11 - 日本核医学会核医学理工分科会研究奨励賞
2017/09 - 生体医工学シンポジウム2017 ベストレビューワーアワード
2015/12 - 第5回核医学画像解析研究会菅野賞

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Association Membership(s) (2)：

日本核医学会 , 日本医用画像工学会

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