Kobayashi Kentaro 小林健太郎

Researcher Number	70756311
Affiliation (based on the past Project Information) *help	2018 – 2021: 北海道大学, 医学研究院, 客員研究員 2017 – 2018: 北海道大学, 医学研究院, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related / Radiation science
Keywords	Principal Investigator FDG / テクスチャー解析 / 核医学 / PET / FDG PET / AI / texture解析 / ポジトロン断層法 / FDG-PET/CT / deep learning … More / radiomics / 人工知能 / 医療・福祉 / 臨床 / 病理学 / 癌 / 放射線 / 神経膠腫 / Texture解析 / FMISO / 低酸素 / 脳腫瘍 Less

Research Projects
(2 results)
Research Products
(6 results)

A basic investigation of texture analysis and deep learning for positron emission tomographyPrincipal Investigator
- Principal Investigator
  
  Kobayashi Kentaro
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
FDG/FMISO PET evaluation for brain tumor with texture analysisPrincipal Investigator
- Principal Investigator
  
  Kobayashi Kentaro
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Radiation science
- Research Institution
  Hokkaido University

All 2021 2020 2018

All Journal Article Presentation

[Journal Article] Preoperative Texture Analysis Using 11C-Methionine Positron Emission Tomography Predicts Survival after Surgery for Glioma2021
- Author(s)
  Manabe Osamu、Yamaguchi Shigeru、Hirata Kenji、Kobayashi Kentaro、Kobayashi Hiroyuki、Terasaka Shunsuke、Toyonaga Takuya、Magota Keiichi、Kuge Yuji、Tamaki Nagara、Shiga Tohru、Kudo Kohsuke
- Journal Title
  
  Diagnostics
  
  Volume: 11 Issue: 2 Pages: 189-189
- DOI
  10.3390/diagnostics11020189
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17127
[Journal Article] Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images2020
- Author(s)
  Kawakami Masashi、Hirata Kenji、Furuya Sho、Kobayashi Kentaro、Sugimori Hiroyuki、Magota Keiichi、Katoh Chietsugu
- Journal Title
  
  Frontiers in Medicine
  
  Volume: 7 Pages: 616746-616746
- DOI
  10.3389/fmed.2020.616746
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17127
[Journal Article] A convolutional neural network-based system to classify patients using FDG PET/CT examinations2020
- Author(s)
  Kawauchi Keisuke、Furuya Sho、Hirata Kenji、Katoh Chietsugu、Manabe Osamu、Kobayashi Kentaro、Watanabe Shiro、Shiga Tohru
- Journal Title
  
  BMC Cancer
  
  Volume: 20 Issue: 1 Pages: 227-227
- DOI
  10.1186/s12885-020-6694-x
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17127
[Presentation] A simplified brain-shaped phantom to evaluate O-15 image quality of digital photon counting PET-CT2020
- Author(s)
  Kenji Hirata, Keiichi Magota, Naoto Numata, Michiaki Endo, Mao Kusuzaki, Daiki Shinyama, Ronee Asad, Kentaro Kobayashi, Tohru Shiga, Kohsuke Kudo
- Organizer
  Society of Nuclear Medicine and Molecular Imaging, 2020 Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17127
[Presentation] A simplified brain-shaped phantom to evaluate O-15 image quality of digital photon counting PET-CT2020
- Author(s)
  Kenji Hirata, Keiichi Magota, Naoto Numata, Michiaki Endo, Mao Kusuzaki, Daiki Shinyama, Ronee Asad, Kentaro Kobayashi, Tohru Shiga, Kohsuke Kudo
- Organizer
  Society of Nuclear Medicine and Molecular Imaging
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17127
[Presentation] Texture analysis of 18F-FDG PET may help differentiate glioblastoma from lower grade glioma.2018
- Author(s)
  Kentaro Kobayashi
- Organizer
  SNMMI 2018 Annual Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K16412

Kobayashi Kentaro 小林 健太郎

Research Projects

Research Products

A basic investigation of texture analysis and deep learning for positron emission tomographyPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

FDG/FMISO PET evaluation for brain tumor with texture analysisPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Preoperative Texture Analysis Using 11C-Methionine Positron Emission Tomography Predicts Survival after Surgery for Glioma2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A convolutional neural network-based system to classify patients using FDG PET/CT examinations2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] A simplified brain-shaped phantom to evaluate O-15 image quality of digital photon counting PET-CT2020

Author(s)

Organizer

Data Source

[Presentation] A simplified brain-shaped phantom to evaluate O-15 image quality of digital photon counting PET-CT2020

Author(s)

Organizer

Data Source

[Presentation] Texture analysis of 18F-FDG PET may help differentiate glioblastoma from lower grade glioma.2018

Author(s)

Organizer

Data Source

Kobayashi Kentaro 小林健太郎