Yokota Hajime 横田元

… Alternative Names

Hajime Yokota 横田元

Less

Researcher Number	20649280
Other IDs
Affiliation (Current)	2025: 千葉大学, 大学院医学研究院, 准教授
Affiliation (based on the past Project Information) *help	2019 – 2024: 千葉大学, 大学院医学研究院, 講師
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related Except Principal Investigator Basic Section 52040:Radiological sciences-related / Basic Section 55020:Digestive surgery-related
Keywords	Principal Investigator 解剖 / MRI / MR neurography / 脱髄性ニューロパチー / 末梢神経 / esophageal carcinoma / Radiomics / Epigenomics / Radiogenomics / 扁平上皮癌 / 食道癌 … More Except Principal Investigator … More Hedgehog経路 / 巨脳症 / 脳MRI定量解析 / 機械学習 / Radiogenomics / 高磁場MRリニアック / 予後予測バイオマーカー / 回帰ニューラルネットワーク / MRリニアック / 遺伝子多型 / PI3K/AKT/ｍTOR経路 / 放射線治療 / MR-only simulation / 合成CT / 臨床ワークフロー / 即時適応放射線治療 / MR画像誘導 / 定量解析 / 脳MRI / バイオマーカー / PI3K/AKT/mTOR経路 / Precision medicine / 膵臓がん / 遺伝子発現データ / 医療画像データ / 医用画像 / 医用画像処理 / 遺伝子選択 / 深層学習 / 特徴選択 / 癌 / 不均一性 / 大腸癌 / TMB / 癌不均一性 / AI / 人工知能 / 小線源治療 / Radiomics / MRI / 子宮頸癌 Less

Brain Morphology Regulation by Macrocephalic Disease-Related Signaling
- Principal Investigator
  
  塩浜直
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Chiba University
末梢神経マルチパラメトリックMRIの確立と脱髄性ニューロパチーの病態解明Principal Investigator
- Principal Investigator
  
  横田元
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Chiba University
高磁場MRリニアックによる時系列画像を用いたがんの超早期予後予測バイオマーカー確立
- Principal Investigator
  
  滝嶋葉月
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Chiba University
Development of on-line Adaptive Radiotherapy for Uterine Displacement and Deformation using High-Field MR Linac
- Principal Investigator
  
  宇野隆
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Chiba University
Innovative Feature Selection Using Deep Learning for Cancer Radiogenomics Data
- Principal Investigator
  
  Mori Yasukuni
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Chiba University
Exploring imaging biomarkers for prognostic prediction of macroencephalitic diseases using comprehensive brain MRI analysis
- Principal Investigator
  
  SHIOHAMA Tadashi
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Chiba University
子宮頸癌に対するRadiomicsを応用した新規IGBT法の開発
- Principal Investigator
  
  根本未歩 (渡辺未歩)
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Chiba University
Overcoming cancer heterogeneity in drug selection through the application of AI and Radiogenomics.
- Principal Investigator
  
  Hoshino Isamu
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 55020:Digestive surgery-related
- Research Institution
  Chiba Cancer Center (Research Institute)
Fusion of comprehensive genomic and imaging information in esophageal cancer: RadiogenomicsPrincipal Investigator
- Principal Investigator
  
  Hajime Yokota
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Chiba University

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] A new workflow of the on-line 1.5-T MR-guided adaptive radiation therapy2023
- Author(s)
  Uno Takashi、Tsuneda Masato、Abe Kota、Fujita Yukio、Harada Rintaro、Saito Makoto、Kanazawa Aki、Kodate Asuka、Abe Yukinao、Ikeda Yohei、Nemoto Miho Watanabe、Yokota Hajime
- Journal Title
  
  Japanese Journal of Radiology
  
  Volume: 41 Issue: 11 Pages: 1316-1322
- DOI
  10.1007/s11604-023-01457-4
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K07661
[Journal Article] Brain structure alterations in girls with central precocious puberty2023
- Author(s)
  Yoshii Shoko、Takatani Tomozumi、Shiohama Tadashi、Takatani Rieko、Konda Yutaka、Hattori Shinya、Yokota Hajime、Hamada Hiromichi
- Journal Title
  
  Frontiers in Neuroscience
  
  Volume: 17 Pages: 1215492-1215492
- DOI
  10.3389/fnins.2023.1215492
- Data Source
  KAKENHI-PROJECT-21K07694
[Journal Article] Prognosis prediction of uterine cervical cancer using changes in the histogram and texture features of apparent diffusion coefficient during definitive chemoradiotherapy2023
- Author(s)
  Takada Akiyo、Yokota Hajime、Nemoto Miho Watanabe、Horikoshi Takuro、Matsumoto Koji、Habu Yuji、Usui Hirokazu、Nasu Katsuhiro、Shozu Makio、Uno Takashi
- Journal Title
  
  PLOS ONE
  
  Volume: 18 Issue: 3 Pages: 0282710-0282710
- DOI
  10.1371/journal.pone.0282710
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K16752, KAKENHI-PROJECT-20K08126, KAKENHI-PROJECT-20K16691
[Journal Article] Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer2022
- Author(s)
  Iwatate Yosuke、Yokota Hajime、Hoshino Isamu、Ishige Fumitaka、Kuwayama Naoki、Itami Makiko、Mori Yasukuni、Chiba Satoshi、Arimitsu Hidehito、Yanagibashi Hiroo、Takayama Wataru、Uno Takashi、Lin Jason、Nakamura Yuki、Tatsumi Yasutoshi、Shimozato Osamu、Nagase Hiroki
- Journal Title
  
  International Journal of Oncology
  
  Volume: 60 Issue: 5 Pages: 1-13
- DOI
  10.3892/ijo.2022.5350
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17130, KAKENHI-PROJECT-20K17570, KAKENHI-PROJECT-20K08199, KAKENHI-PROJECT-20K09115
[Journal Article] Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi-Center Study2022
- Author(s)
  Yuki Terasaki, Hajime Yokota, Kohei Tashiro, Takuma Maejima, Takashi Takeuchi, Ryuna Kurosawa, Shoma Yamauchi, Akiyo Takada, Hiroki Mukai, Kenji Ohira, Joji Ota, Takuro Horikoshi, Yasukuni Mori, Takashi Uno, Hiroki Suyari
- Journal Title
  
  Frontiers in Neurology
  
  Volume: 18
- DOI
  10.3389/fneur.2021.742126
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K07590
[Journal Article] Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer2022
- Author(s)
  Iwatate Yosuke、Yokota Hajime、Hoshino Isamu、Ishige Fumitaka、Kuwayama Naoki、Itami Makiko、Mori Yasukuni、Chiba Satoshi、Arimitsu Hidehito、Yanagibashi Hiroo、Takayama Wataru、Uno Takashi、Lin Jason、Nakamura Yuki、Tatsumi Yasutoshi、Shimozato Osamu、Nagase Hiroki
- Journal Title
  
  PLOS ONE
  
  Volume: 17 Issue: 6 Pages: e0268630-e0268630
- DOI
  10.1371/journal.pone.0268630
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K08199, KAKENHI-PROJECT-20K09115, KAKENHI-PROJECT-20K17570
[Journal Article] Radiogenomics of gastroenterological cancer: The dawn of personalized medicine with artificial intelligence‐based image analysis2021
- Author(s)
  Hoshino Isamu, Yokota Hajime
- Journal Title
  
  Ann Gastroenterol Surg
  
  Volume: epub ahead Issue: 4 Pages: 427-435
- DOI
  10.1002/ags3.12437
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17130, KAKENHI-PROJECT-20K09115
[Journal Article] Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer2021
- Author(s)
  Mori Yasukuni、Yokota Hajime、Hoshino Isamu、Iwatate Yosuke、Wakamatsu Kohei、Uno Takashi、Suyari Hiroki
- Journal Title
  
  Scientific Reports
  
  Volume: 11 Issue: 1 Pages: 1-9
- DOI
  10.1038/s41598-021-95969-6
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17130, KAKENHI-PROJECT-20K09115, KAKENHI-PROJECT-21K07590, KAKENHI-PROJECT-21K16436
[Journal Article] Prediction of the differences in tumor mutation burden between primary and metastatic lesions by radiogenomics2021
- Author(s)
  Hoshino Isamu、Yokota Hajime、Iwatate Yosuke、Mori Yasukuni、Kuwayama Naoki、Ishige Fumitaka、Itami Makiko、Uno Takashi、Nakamura Yuki、Tatsumi Yasutoshi、Shimozato Osamu、Nagase Hiroki
- Journal Title
  
  Cancer Science
  
  Volume: 113 Issue: 1 Pages: 229-239
- DOI
  10.1111/cas.15173
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17130, KAKENHI-PROJECT-20K08199, KAKENHI-PROJECT-20K09115
[Journal Article] Radiogenomics predicts the expression of microRNA-1246 in the serum of esophageal cancer patients.2020
- Author(s)
  Hoshino I, Yokota H, Ishige F, Iwatate Y, Takeshita N, Nagase H, Uno T, Matsubara H.
- Journal Title
  
  Sci Rep.
  
  Volume: 10 Issue: 1 Pages: 2532-2532
- DOI
  10.1038/s41598-020-59500-7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K10616, KAKENHI-PROJECT-19K17130
[Presentation] 読影レポートの見落とし防止に向けた重要所見の自動分類2024
- Author(s)
  村松祐希，横田元，中尾達司，堀越琢郎，太田丞二，宇野隆，須鎗弘樹，森康久仁
- Organizer
  電子情報通信学会
- Data Source
  KAKENHI-PROJECT-21K07590
[Presentation] MR画像誘導放射線治療における照射中リアルタイム3次元腫瘍位置予測の試み2024
- Author(s)
  清水涼音，横田元，中尾達司，堀越琢郎，太田丞二，宇野隆，須鎗弘樹，森康久仁
- Organizer
  電子情報通信学会
- Data Source
  KAKENHI-PROJECT-21K07590
[Presentation] Elekta Unityにおける静磁場不均一性（B0map）検証ソフトウェアの開発2023
- Author(s)
  阿部幸太, 池田洋平, 横田元, 恒田雅人, 藤田幸男, 宇野隆
- Organizer
  日本放射線腫瘍学会第36回学術大会
- Data Source
  KAKENHI-PROJECT-22K07661
[Presentation] 深層学習を用いたDIRシステムの開発2023
- Author(s)
  内山遼大, 阿部幸太, 恒田雅人, 齋藤真, 横田元, 堀越琢郎, 太田丞二, 宇野隆, 須鎗弘樹, 森康久仁
- Organizer
  日本放射線腫瘍学会第36回学術大会
- Data Source
  KAKENHI-PROJECT-22K07661
[Presentation] 小児脳における脳局所容量と左右差の検討2023
- Author(s)
  塩浜直, 舞草伯秀, 川口将宏, 夏目淳, 平野好幸, 齋藤慶斗, 髙梨潤一, Jacob Levman, 高橋恵美,松本浩史, 服部真也, 横田元, 辻村啓太, 澤田大輔, 内田智子, 高谷具純, 藤井克則, 長縄伸二, 佐藤典子, 濱田洋通.
- Organizer
  第17回小児神経放射線研究会
- Data Source
  KAKENHI-PROJECT-21K07694
[Presentation] MRI 機種間補正が可能な小児脳容量の基準値の創出2023
- Author(s)
  塩浜直, 舞草伯秀, 川口将宏, 夏目淳, 平野好幸, 齋藤慶斗, 髙梨潤一, Levman Jacob, 高橋恵美, 松本浩史, 服部真也, 横田元, 辻村啓太, 澤田大輔, 内田智子, 高谷具純, 佐藤典子, 濱田洋通.
- Organizer
  第126回小児科学会
- Data Source
  KAKENHI-PROJECT-21K07694
[Presentation] 対照学習を用いた教師なし学習によるMR画像から擬似CT画像の生成2022
- Author(s)
  宮嵜拓海，恒田雅人，阿部幸太，横田元，太田丞二，堀越琢郎，宇野隆，須鎗弘樹，森康久仁
- Organizer
  第123回日本医学物理学会学術大会
- Data Source
  KAKENHI-PROJECT-21K07590
[Presentation] DaTScanデータによるパーキンソニズムを呈する疾患の自動分類2022
- Author(s)
  植野雄大，横田元，堀越琢郎，太田丞二，須鎗弘樹，森康久仁
- Organizer
  第194回医用画像情報学会
- Data Source
  KAKENHI-PROJECT-21K07590
[Presentation] Triplet Lossを用いた頭部スカウト画像からの患者間違い検出手法に関する検討2022
- Author(s)
  吉川耕平，太田丞二，橋本拓磨，横田元，堀越琢郎，須鎗弘樹，森康久仁
- Organizer
  第194回医用画像情報学会
- Data Source
  KAKENHI-PROJECT-21K07590
[Presentation] Radiogenomics：基礎、研究の現状と課題・今後の展望2021
- Author(s)
  横田　元
- Organizer
  エーザイ社内研修会
- Invited
- Data Source
  KAKENHI-PROJECT-19K17130
[Presentation] Radiogenomics解析を用いた膵癌におけるTranscriptomeおよび予後予測2020
- Author(s)
  岩立陽祐, 星野敢, 横田元, 伊丹真紀子, 石毛文隆, 有光秀仁, 柳橋浩男, 千葉聡, 高山亘, 永瀬浩喜
- Organizer
  日本消化器外科学会総会
- Data Source
  KAKENHI-PROJECT-20K09115
[Presentation] Radiogenomicsによる食道扁平上皮癌患者における血清microRNA-1246の発現予測2019
- Author(s)
  Hajime Yokota, Isamu Hoshino, Iwadate Yosuke, Ishige FUmitaka, Jason Lin, Nagase Hiroki, Takashi Uno
- Organizer
  日本医学放射線学会
- Data Source
  KAKENHI-PROJECT-19K17130
[Presentation] Radiogenomics for epigenomic data: estimated serum microRNA-1246 from contrast-enhanced CT can predict prognosis of esophageal squamous-cell carcinoma2019
- Author(s)
  Hajime Yokota, Isamu Hoshino, Iwadate Yosuke, Ishige FUmitaka, Jason Lin, Nagase Hiroki, Takashi Uno
- Organizer
  AIMS Body Imaging 2019
- Invited
- Data Source
  KAKENHI-PROJECT-19K17130
[Presentation] Radiogenomics for epigenomic data: estimated serum microRNA-1246 from contrast-enhanced CT can predict prognosis of esophageal squamous-cell carcinoma2019
- Author(s)
  Hajime Yokota, Isamu Hoshino, Iwadate Yosuke, Ishige FUmitaka, Jason Lin, Nagase Hiroki, Takashi Uno
- Organizer
  RSNA
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17130

1. Mori Yasukuni (40361414)

# of Collaborated Projects: 3 results

# of Collaborated Products: 6 results
2. 根本未歩 (50568665)

# of Collaborated Projects: 3 results

# of Collaborated Products: 1 results
3. 松本浩史 (60745230)

# of Collaborated Projects: 3 results

# of Collaborated Products: 2 results
4. Hoshino Isamu (10400904)

# of Collaborated Projects: 2 results

# of Collaborated Products: 2 results
5. SHIOHAMA Tadashi (10737034)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
6. 宇野隆 (30302540)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
7. 恒田雅人 (60800753)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
8. 高梨潤一 (00302555)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 舞草伯秀 (80631069)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
10. 鎌谷洋一郎 (00720880)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 山本緑 (90597121)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 松浦佑介 (60638336)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 澁谷和幹 (90507360)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. 滝嶋葉月 (10568661)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
15. TATSUMI Yasutoshi

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
16. 高田章代

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Yokota Hajime 横田 元

Hajime Yokota 横田 元

Research Projects

Research Products

Co-Researchers

Brain Morphology Regulation by Macrocephalic Disease-Related Signaling

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

末梢神経マルチパラメトリックMRIの確立と脱髄性ニューロパチーの病態解明Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

高磁場MRリニアックによる時系列画像を用いたがんの超早期予後予測バイオマーカー確立

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of on-line Adaptive Radiotherapy for Uterine Displacement and Deformation using High-Field MR Linac

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Innovative Feature Selection Using Deep Learning for Cancer Radiogenomics Data

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Exploring imaging biomarkers for prognostic prediction of macroencephalitic diseases using comprehensive brain MRI analysis

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

子宮頸癌に対するRadiomicsを応用した新規IGBT法の開発

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Overcoming cancer heterogeneity in drug selection through the application of AI and Radiogenomics.

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Fusion of comprehensive genomic and imaging information in esophageal cancer: RadiogenomicsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] A new workflow of the on-line 1.5-T MR-guided adaptive radiation therapy2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Brain structure alterations in girls with central precocious puberty2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Prognosis prediction of uterine cervical cancer using changes in the histogram and texture features of apparent diffusion coefficient during definitive chemoradiotherapy2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi-Center Study2022

Yokota Hajime 横田元

Hajime Yokota 横田元