Rchr
J-GLOBAL ID:201801016300248677   Update date: Aug. 06, 2021

Matsubara Keisuke

マツバラ ケイスケ | Matsubara Keisuke
Research field  (2): Biological, health, and medical informatics ,  Radiology
Research theme for competitive and other funds  (4):
  • 2019 - 2022 Preliminary study for deep learning of MR images to predict maps for cerebral blood flow and metabolism
  • 2017 - 2020 PET-NIRS融合イメージングによるアルツハイマー病診断の高度化と脳機能の解明
  • 2016 - 2019 Computer-aided prediction for dysfunction of cerebral metabolism in cerebrovascular disease: supervised learning of susceptibility weighted image
  • 2014 - 2016 Functional subdivision of brain structures by clustering of PET images
Papers (22):
  • Keisuke Matsubara, Masanobu Ibaraki, Yuki Shinohara, Noriyuki Takahashi, Hideto Toyoshima, Toshibumi Kinoshita. Prediction of an oxygen extraction fraction map by convolutional neural network: validation of input data among MR and PET images. International journal of computer assisted radiology and surgery. 2021
  • Keisuke Matsubara, Masanobu Ibaraki, Miho Shidahara, Toshibumi Kinoshita. Iterative framework for image registration and partial volume correction in brain positron emission tomography. Radiological Physics and Technology. 2020. 13. 4. 348-357
  • Shidahara M, Thomas AB, Okamura N, Ibaraki M, Matsubara K, Oyama S, Ishikawa Y, Watanuki S, Iwata R, Furumoto S, et al. Partial Volume Corrections for Tau and Amyloid PET Imaging with [18F]THK5351 and [11C]PiB. CYRIC Annual Report 2016-2017. 2019. 142-146
  • Noriyuki Takahashi, Yuki Shinohara, Toshibumi Kinoshita, Tomomi Ohmura, Keisuke Matsubara, Yongbum Lee, Hideto Toyoshima. Computerized identification of early ischemic changes in acute stroke in noncontrast CT using deep learning. Proc of SPIE Medical Imaging. 2019. 10950. 109503A:1-109503A:6
  • Ibaraki M, Nakamura K, Toyoshima H, Takahashi K, Matsubara K, Umetsu A, Pfeuffer J, Kuribayashi H, Kinoshita T. Spatial coefficient of variation in pseudo-continuous arterial spin labeling cerebral blood flow images as a hemodynamic measure for cerebrovascular steno-occlusive disease: A comparative 15O positron emission tomography study. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 2019. 39. 1. 173-181
more...
MISC (23):
  • 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
  • M. Ibaraki, T. Ohmura, K. Matsubara, T. Kinoshita. VALIDATION OF CT PERFUSION-DERIVED CBF MAPS IN PATIENTS WITH CEREBROVASCULAR STENO-OCCLUSIVE DISEASE: A COMPARATIVE STUDY WITH O-15 PET. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM. 2016. 36. 401-401
  • Keisuke Matsubara, Yoko Ikoma, Masanobu Ibaraki, Hitoshi Shimada, Tetsuya Suhara, Toshibumi Kinoshita, Hiroshi Ito. Correction for partial volume effect in quantification of amyloid beta plaque with [C-11]PIB PET. JOURNAL OF NUCLEAR MEDICINE. 2015. 56. 3
  • Masanobu Ibaraki, Keisuke Matsubara, Toshibumi Kinoshita. Partial volume correction on brain [O-15]-H2O PET: Assessment of inter-subject variability and uniformity of CBF maps. JOURNAL OF NUCLEAR MEDICINE. 2014. 55
more...
Lectures and oral presentations  (7):
  • 各種ガイドラインに基づいたBiograph Visionの性能評価
    (第59回日本核医学会学術総会 2019)
  • PET PVCの最新研究:PVCは必要か?
    (PETサマーセミナー2019 in 福島 2019)
  • Deep learningの基礎と放射線診療への応用・展望
    (福島県立医科大学放射線医学講座主催講演会 2019)
  • コンパートメントモデル解析 "キホン"の"キ”
    (第7回秋田県核医学技術研修会 2018)
  • Deep learningで何が変わるのか? - 放射線診療への応用と展望
    (秋田診療放射線技師会学術大会 2018)
more...
Education (3):
  • 2007 - 2010 Nara Institute of Science and Technology
  • 2005 - 2007 Nara Institute of Science and Technology
  • 2001 - 2005 Ritsumeikan University Department of Applied Chemistry
Work history (4):
  • 2020/04 - 現在 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 (5):
  • 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
  • 2014/11 - 日本脳神経核医学研究会 JCNN優秀ポスター賞
Association Membership(s) (2):
日本核医学会 ,  日本医用画像工学会
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page