Fujima Noriyuki 藤間憲幸

… Alternative Names

FUJIMA Noriyuki 藤間憲幸

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Researcher Number	80431360
Other IDs
External Links
Affiliation (Current)	2025: 北海道大学, 大学病院, 講師
Affiliation (based on the past Project Information) *help	2025: 北海道大学, 大学病院, 講師 2020 – 2023: 北海道大学, 大学病院, 講師 2019: 北海道大学, 医学研究院, 客員研究員 2012 – 2018: 北海道大学, 大学病院, 助教 2012: 北海道大学, 北海道大学病院, 助教 2011: 北海道大学, 大学院・医学研究科, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related / Radiation science Except Principal Investigator Radiation science / Pathobiological dentistry/Dental radiology
Keywords	Principal Investigator MRI / 頭頚部癌 / 頭頸部癌 / 人工知能 / 画像診断 / 頭頸部扁平上皮癌 / 癌 / 画像 / 腫瘍血流 / 深層学習 … More / 頭頚部扁平上皮癌 / 予後予測 / 低酸素領域 / 腫瘍増殖能 / 扁平上皮癌 / 低酸素 / 血流 / 増殖能 / 腫瘍 / 解析学 / 頭頸部腫瘍 / 磁気共鳴画像 … More Except Principal Investigator 核磁気共鳴画像 / 脳血流代謝 / 核磁気共鳴画像（MRI） / 放射線科学 / 脳血流酸素代謝 / 各磁気共鳴画像（MRI） / O-17 / MRI / 脳血流 / 酸素代謝 / 頭頸部癌 / ADC / b-factor / DWI / 扁平上皮癌 / 口腔癌 / 拡散強調像 / QSI Less

先進的MRIと人工知能技術の融合：頭頸部癌の微小環境の画像化と予後予測モデル開発Principal Investigator
- Principal Investigator
  
  藤間憲幸
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
The integration of non-invasive imaging of tumor characteristics with deep learning analysis for personalized decision making in patients with head and neck cancerPrincipal Investigator
- Principal Investigator
  
  Fujima Noriyuki
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
Development of the prognosis prediction model in patients with head and neck cancer using tumor biological characteristics-reflected MRI data and the artificial intelligence-based analysisPrincipal Investigator
- Principal Investigator
  
  Fujima Noriyuki
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Hokkaido University
Development of the prognosis prediction method using treatment response mapping obtained by MRI for head and neck squamous cell carcinoma patientsPrincipal Investigator
- Principal Investigator
  
  Fujima Noriyuki
- Project Period (FY)
  2015 – 2017
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Radiation science
- Research Institution
  Hokkaido University
Development of Quantitative Cerebral Blood Flow and Oxygen Metabolism using O-17 Water and Oxygen Molecules
- Principal Investigator
  
  Kudo Kohsuke
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Radiation science
- Research Institution
  Hokkaido University
Development of MR microscope for the squamous carcinoma in the oral cavity
- Principal Investigator
  
  Minowa Kazuyuki
- Project Period (FY)
  2013 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Pathobiological dentistry/Dental radiology
- Research Institution
  Hokkaido University
Development of non-invasive imaging technique for the detection of tumor functional informationPrincipal Investigator
- Principal Investigator
  
  FUJIMA Noriyuki
- Project Period (FY)
  2013 – 2014
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Radiation science
- Research Institution
  Hokkaido University
Development of quantitative viability and vascular territory mapping for head and neck cancer by using magnetic resonance imaging techniquePrincipal Investigator
- Principal Investigator
  
  FUJIMA Noriyuki
- Project Period (FY)
  2011 – 2012
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Radiation science
- Research Institution
  Hokkaido University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 Other

All Journal Article Presentation

[Journal Article] Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach2024
- Author(s)
  Nakagawa Junichi、Fujima Noriyuki、Hirata Kenji、Harada Taisuke、Wakabayashi Naoto、Takano Yuki、Homma Akihiro、Kano Satoshi、Minowa Kazuyuki、Kudo Kohsuke
- Journal Title
  
  Japanese Journal of Radiology
  
  Volume: - Issue: 5 Pages: 1-10
- DOI
  10.1007/s11604-023-01527-7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K10333, KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-21H02857
[Journal Article] Utility of Echo Planar Imaging With Compressed Sensing-Sensitivity Encoding (EPICS) for the Evaluation of the Head and Neck Region2024
- Author(s)
  Hirano Yuya、Fujima Noriyuki、Ishizaka Kinya、Aoike Takuya、Nakagawa Junichi、Yoneyama Masami、Kudo Kohsuke
- Journal Title
  
  Cureus
  
  Volume: -
- DOI
  10.7759/cureus.54203
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-21H02857
[Journal Article] Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging2023
- Author(s)
  Fujima Noriyuki、Kamagata Koji、Ueda Daiju、Fujita Shohei、Fushimi Yasutaka、Yanagawa Masahiro、Ito Rintaro、Tsuboyama Takahiro、Kawamura Mariko、Nakaura Takeshi、Yamada Akira、Nozaki Taiki、Fujioka Tomoyuki、Matsui Yusuke、Hirata Kenji、Tatsugami Fuminari、Naganawa Shinji
- Journal Title
  
  MRMS
  
  Volume: 22 Issue: 4 Pages: 401-414
- DOI
  10.2463/mrms.rev.2023-0047
- ISSN
  1347-3182, 1880-2206
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-21K07712
[Journal Article] Multiparametric machine learning algorithm for human papillomavirus status and survival prediction in oropharyngeal cancer patients2023
- Author(s)
  Fazelpour Sherwin、Vejdani‐Jahromi Maryam、Kaliaev Artem、Qiu Edwin、Goodman Deniz、Andreu‐Arasa V. Carlota、Fujima Noriyuki、Sakai Osamu
- Journal Title
  
  Head Neck
  
  Volume: 45 Issue: 11 Pages: 2882-2892
- DOI
  10.1002/hed.27519
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K07558
[Journal Article] Non-Gaussian model-based diffusion-weighted imaging of oral squamous cell carcinoma: associations with Ki-67 proliferation status2023
- Author(s)
  Shima Tomoka、Fujima Noriyuki、Yamano Shigeru、Kameda Hiroyuki、Suzuka Masaaki、Takeuchi Akiko、Kinoshita Yurika、Iwai Nanami、Kudo Kohsuke、Minowa Kazuyuki
- Journal Title
  
  Oral Radiology
  
  Volume: - Issue: 4 Pages: 661-667
- DOI
  10.1007/s11282-023-00682-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K17256, KAKENHI-PROJECT-22K15856, KAKENHI-PROJECT-20K10287, KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-21H02857
[Journal Article] Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck2023
- Author(s)
  Fujima Noriyuki、Nakagawa Junichi、Kameda Hiroyuki、Ikebe Yohei、Harada Taisuke、Shimizu Yukie、Tsushima Nayuta、Kano Satoshi、Homma Akihiro、Kwon Jihun、Yoneyama Masami、Kudo Kohsuke
- Journal Title
  
  Magnetic Resonance Materials in Physics, Biology and Medicine
  
  Volume: - Issue: 3 Pages: 439-447
- DOI
  10.1007/s10334-023-01129-4
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K15856, KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-21H02857
[Journal Article] Amide proton transfer imaging for the determination of human papillomavirus status in patients with oropharyngeal squamous cell carcinoma2022
- Author(s)
  Fujima N*, Shimizu Y, Yoneyama M, Nakagawa J, Kameda H, Harada T, Hamada S, Suzuki T, Tsushima N, Kano S, Homma A, Kudo K.
- Journal Title
  
  Medicine (Baltimore)
  
  Volume: 101(28) Issue: 28 Pages: e29457-e29457
- DOI
  10.1097/md.0000000000029457
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-22K15856, KAKENHI-PROJECT-21H02857, KAKENHI-PROJECT-19K17256
[Journal Article] MR vessel-encoded arterial spin labeling with the placement of metallic items to visualize the territorial blood flow after extracranial-intracranial bypass surgery: a proof-of-concept study2022
- Author(s)
  Hayashi T, Fujima N*, Harada T, Hamaguchi A, Kodera S
- Journal Title
  
  Acta Radiologica
  
  Volume: - Issue: 5 Pages: 2004-2009
- DOI
  10.1177/02841851221151144
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K07558
[Journal Article] The utility of diffusion-weighted T2 mapping for the prediction of histological tumor grade in patients with head and neck squamous cell carcinoma2022
- Author(s)
  Fujima N*, Shimizu Y, Yoneyama M, Nakagawa J, Kameda H, Harada T, Hamada S, Suzuki T, Tsushima N, Kano S, Homma A, Kudo K.
- Journal Title
  
  Quant Imaging Med Surg
  
  Volume: 12(8) Issue: 8 Pages: 4024-4032
- DOI
  10.21037/qims-22-136
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-22K15856, KAKENHI-PROJECT-21H02857, KAKENHI-PROJECT-19K17256
[Journal Article] Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor2022
- Author(s)
  Nakagawa J, Fujima N*, Hirata K, Tang M, Tsuneta S, Suzuki J, Harada T, Ikebe Y, Homma A, Kano S, Minowa K, Kudo K.
- Journal Title
  
  Cancer Imaging
  
  Volume: 22(1) Issue: 1 Pages: 52-52
- DOI
  10.1186/s40644-022-00492-0
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-22K10333
[Journal Article] Multiparametric Analysis of Tumor Morphological and Functional MR Parameters Potentially Predicts Local Failure in Pharynx Squamous Cell Carcinoma Patients2021
- Author(s)
  Fujima Noriyuki、Shimizu Yukie、Yoshida Daisuke、Kano Satoshi、Mizumachi Takatsugu、Homma Akihiro、Yasuda Koichi、Onimaru Rikiya、Sakai Osamu、Kudo Kohsuke、Shirato Hiroki
- Journal Title
  
  J. Med. Invest.
  
  Volume: 68 Issue: 3.4 Pages: 354-361
- DOI
  10.2152/jmi.68.354
- NAID
  130008115660
- ISSN
  1343-1420, 1349-6867
- Language
  English
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H02857, KAKENHI-PROJECT-19K08088, KAKENHI-PROJECT-19K09883, KAKENHI-PROJECT-21K07558, KAKENHI-PROJECT-19H03591
[Journal Article] Prediction of the Treatment Outcome using Machine Learning with FDG-PET Image-based Multiparametric Approach in Patients with Oral Cavity Squamous Cell Carcinoma2021
- Author(s)
  Fujima N, Andreu-Arasa VC, Meibom SK, Mercier GA, Salama AR, Truong MT, Sakai O
- Journal Title
  
  Clinical Radiology
  
  Volume: － Issue: 9 Pages: 711.e1-711.e7
- DOI
  10.1016/j.crad.2021.03.017
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07661, KAKENHI-PROJECT-21K07558
[Journal Article] Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT2021
- Author(s)
  Onoue K, Fujima N, Andreu-Arasa VC, Setty BN, Sakai O
- Journal Title
  
  American Journal of Otolaryngology
  
  Volume: 42 Issue: 5 Pages: 103026-103026
- DOI
  10.1016/j.amjoto.2021.103026
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K07558
[Journal Article] Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images2021
- Author(s)
  Fujima Noriyuki、Andreu-Arasa V. Carlota、Meibom Sara K.、Mercier Gustavo A.、Truong Minh Tam、Hirata Kenji、Yasuda Koichi、Kano Satoshi、Homma Akihiro、Kudo Kohsuke、Sakai Osamu
- Journal Title
  
  BMC Cancer
  
  Volume: 21 Issue: 1 Pages: 900-900
- DOI
  10.1186/s12885-021-08599-6
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H02857, KAKENHI-PROJECT-19K08088, KAKENHI-PROJECT-21K07558
[Journal Article] Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis: A hypothesis-generating study.2020
- Author(s)
  Fujima N, Andreu-Arasa VC, Meibom SK, Mercier GA, Truong MT, Sakai O.
- Journal Title
  
  European Journal of Radiology
  
  Volume: 126 Pages: 108936-108936
- DOI
  10.1016/j.ejrad.2020.108936
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K07661
[Journal Article] Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma2020
- Author(s)
  Fujima N, Andreu-Arasa VC, Meibom SK, Mercier GA, Salama AR, Truong MT, Sakai O
- Journal Title
  
  European Radiology
  
  Volume: 30 Issue: 11 Pages: 6322-6330
- DOI
  10.1007/s00330-020-06982-8
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07661
[Journal Article] The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies2019
- Author(s)
  Fujima Noriyuki、Homma Akihiro、Harada Taisuke、Shimizu Yukie、Tha Khin Khin、Kano Satoshi、Mizumachi Takatsugu、Li Ruijiang、Kudo Kohsuke、Shirato Hiroki
- Journal Title
  
  Cancer Imaging
  
  Volume: 19 Issue: 1 Pages: 5-5
- DOI
  10.1186/s40644-019-0193-9
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07661, KAKENHI-PROJECT-19K09883
[Journal Article] Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study.2019
- Author(s)
  Fujima N, Shimizu Y, Yoshida D, Kano S, Mizumachi T, Homma A, Yasuda K, Onimaru R, Sakai O, Kudo K, Shirato H
- Journal Title
  
  Cancers
  
  Volume: 11 Issue: 6 Pages: 800-800
- DOI
  10.3390/cancers11060800
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07661, KAKENHI-PROJECT-19K08088, KAKENHI-PROJECT-19K09883, KAKENHI-PROJECT-17H04254
[Journal Article] Evaluation of non-Gaussian model-based diffusion-weighted imaging in oral squamous cell carcinoma: comparison with tumour functional information derived from positron-emission tomography.2019
- Author(s)
  Shima T, Fujima N, Yamano S, Kudo K, Hirata K, Minowa K.
- Journal Title
  
  Clinical Radiology
  
  Volume: 75 Issue: 5 Pages: 15-21
- DOI
  10.1016/j.crad.2019.12.018
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K07661, KAKENHI-PROJECT-18K09872, KAKENHI-PROJECT-17H04254
[Journal Article] Utility of a Hybrid IVIM-DKI Model to Predict the Development of Distant Metastasis in Head and Neck Squamous Cell Carcinoma Patients2018
- Author(s)
  Fujima N, Sakashita T, Homma A, Yoshida D, Kudo K, Shirato H.
- Journal Title
  
  MRMS
  
  Volume: 17 Issue: 1 Pages: 21-27
- DOI
  10.2463/mrms.mp.2016-0136
- NAID
  130006306824
- ISSN
  1347-3182, 1880-2206
- Language
  English
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H04254, KAKENHI-PROJECT-15K19761
[Journal Article] Integrating quantitative morphological and intratumoural textural characteristics in FDG-PET for the prediction of prognosis in pharynx squamous cell carcinoma patients2018
- Author(s)
  Fujima N.、Hirata K.、Shiga T.、Li R.、Yasuda K.、Onimaru R.、Tsuchiya K.、Kano S.、Mizumachi T.、Homma A.、Kudo K.、Shirato H.
- Journal Title
  
  Clinical Radiology
  
  Volume: 73 Issue: 12 Pages: 1059.e1-1059.e8
- DOI
  10.1016/j.crad.2018.08.011
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07661, KAKENHI-PROJECT-17H04254
[Journal Article] Semi-quantitative analysis of pre-treatment morphological and intratumoral characteristics using 18F-fluorodeoxyglucose positron-emission tomography as predictors of treatment outcome in nasal and paranasal squamous cell carcinoma2018
- Author(s)
  Fujima Noriyuki、Hirata Kenji、Shiga Tohru、Yasuda Koichi、Onimaru Rikiya、Tsuchiya Kazuhiko、Kano Satoshi、Mizumachi Takatsugu、Homma Akihiro、Kudo Kohsuke、Shirato Hiroki
- Journal Title
  
  Quantitative Imaging in Medicine and Surgery
  
  Volume: 8 Issue: 8 Pages: 788-795
- DOI
  10.21037/qims.2018.09.09
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K07661, KAKENHI-PROJECT-17H04254
[Journal Article] Prediction of the treatment outcome using intravoxel incoherent motion and diffusional kurtosis imaging in nasal or sinonasal squamous cell carcinoma patients2017
- Author(s)
  Fujima N, Yoshida D, Sakashita T, Homma A, Tsukahara A, Shimizu Y, Tha KK, Kudo K, Shirato H
- Journal Title
  
  European Radiology
  
  Volume: 27(3) Issue: 3 Pages: 956-965
- DOI
  10.1007/s00330-016-4440-1
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15K19761
[Journal Article] Residual tumour detection in post-treatment granulation tissue by using advanced diffusion models in head and neck squamous cell carcinoma patients.2017
- Author(s)
  Fujima N, Yoshida D, Sakashita T, Homma A, Kudo K, Shirato H
- Journal Title
  
  Eur J Radiol
  
  Volume: 90 Pages: 14-19
- DOI
  10.1016/j.ejrad.2017.02.025
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H04254, KAKENHI-PROJECT-15K19761
[Journal Article] Comparison of Different Post-Processing Algorithms for Dynamic Susceptibility Contrast Perfusion Imaging of Cerebral Gliomas2017
- Author(s)
  Kudo K, Uwano I, Hirai T, Murakami R, Nakamura H, Fujima N, Yamashita F, Goodwin J, Higuchi S, Sasaki M
- Journal Title
  
  MRMS
  
  Volume: 16 Issue: 2 Pages: 129-136
- DOI
  10.2463/mrms.mp.2016-0036
- NAID
  130005589294
- ISSN
  1347-3182, 1880-2206
- Language
  English
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26293269, KAKENHI-PROJECT-25462273, KAKENHI-PROJECT-16K10798, KAKENHI-PROJECT-17H04254
[Journal Article] Non-invasive prediction of the tumor growth rate using advanced diffusion models in head and neck squamous cell carcinoma patients.2017
- Author(s)
  Fujima N, Sakashita T, Homma A, Harada T, Shimizu Y, Tha KK, Kudo K, Shirato H.
- Journal Title
  
  Oncotarget
  
  Volume: 8 Issue: 20 Pages: 33631-33643
- DOI
  10.18632/oncotarget.16851
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H04254, KAKENHI-PROJECT-15K19761
[Journal Article] Advanced diffusion models in head and neck squamous cell carcinoma patients: Goodness of fit, relationships among diffusion parameters and comparison with dynamic contrast-enhanced perfusion2017
- Author(s)
  Fujima N, Sakashita T, Homma A, Shimizu Y, Yoshida A, Harada T, Tha KK, Kudo K, Shirato H.
- Journal Title
  
  Magnetic Resonance Imaging
  
  Volume: 36 Pages: 16-23
- DOI
  10.1016/j.mri.2016.10.024
- NAID
  120006382282
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15K19761
[Journal Article] Usefulness of Pseudocontinuous Arterial Spin-Labeling for the Assessment of Patients with Head and Neck Squamous Cell Carcinoma by Measuring Tumor Blood Flow in the Pretreatment and Early Treatment Period2016
- Author(s)
  Fujima N, Yoshida D, Sakashita T, Homma A, Tsukahara A, Tha KK, Kudo K, Shirato H
- Journal Title
  
  American journal of neuroradiology
  
  Volume: 37(2) Issue: 2 Pages: 342-8
- DOI
  10.3174/ajnr.a4513
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15K19761
[Journal Article] Glucose Metabolism and Its Complicated Relationship with Tumor Growth and Perfusion in Head and Neck Squamous Cell Carcinoma.2016
- Author(s)
  Fujima N, Sakashita T, Homma A, Hirata K, Shiga T, Kudo K, Shirato H
- Journal Title
  
  Plos One
  
  Volume: ー Issue: 11 Pages: e0166236-e0166236
- DOI
  10.1371/journal.pone.0166236
- NAID
  120005905627
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-15K19761
[Journal Article] Differentiation of squamous cell carcinoma and inverted papilloma using non-invasive MR perfusion imaging2015
- Author(s)
  Fujima N, Nakamaru Y, Sakashita T, Homma A, Tsukahara A, Kudo K, Shirato H
- Journal Title
  
  Dento maxillo facial Radiology
  
  Volume: 44(9) Issue: 9 Pages: 74-82
- DOI
  10.1259/dmfr.20150074
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-15K19761
[Journal Article] Evaluation of cerebral blood flow using multi-phase pseudo continuous arterial spin labeling at 3-tesla2015
- Author(s)
  Sugimori H, Fujima N, Suzuki Y, Hamaguchi H, Sakata M, Kudo K
- Journal Title
  
  Magnetic Resonance Imaging
  
  Volume: 33 Issue: 10 Pages: 1338-1344
- DOI
  10.1016/j.mri.2015.07.016
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26293269
[Journal Article] Measurement of tumor blood flow in head and neck squamous cell carcinoma by pseudo-continuous arterial spin labeling: Comparison with dynamic contrast-enhanced MRI.2015
- Author(s)
  Fujima N, Kudo K, Tsukahara A, Yoshida D, Sakashita T, Homma A, Tha KK, Shirato H
- Journal Title
  
  J Magn Reson Imaging
  
  Volume: 41(4) Issue: 4 Pages: 983-991
- DOI
  10.1002/jmri.24637
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25861047, KAKENHI-PROJECT-26293269
[Journal Article] Diagnostic value of tumor blood flow and its histogram analysis obtained with pCASL to differentiate sinonasal malignant lymphoma from squamous cell carcinoma2015
- Author(s)
  Fujima N, Kameda H, Tsukahara A, Yoshida D, Sakashita T, Homma A, Tha KK, Kudo K, Shirato H
- Journal Title
  
  European journal of radiology
  
  Volume: 84(11) Issue: 11 Pages: 2187-93
- DOI
  10.1016/j.ejrad.2015.07.026
- NAID
  120005853059
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-15K19761
[Journal Article] Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI2014
- Author(s)
  Fujima N, Yoshida D, Sakashita T, Homma A, Tsukahara A, Tha KK, Kudo K, Shirato H
- Journal Title
  
  Magn Reson Imaging
  
  Volume: 32(10) Issue: 10 Pages: 1206-1213
- DOI
  10.1016/j.mri.2014.08.009
- NAID
  120005527830
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25861047
[Journal Article] Arterial spin labeling to determine tumor viability in head and neck cancer before and after treatment.2014
- Author(s)
  Fujima N, Kudo K, Yoshida D, Homma A, Sakashita T, Tsukahara A, Tha KK, Zaitsu Y, Terae S, Shirato H.
- Journal Title
  
  J Magn Reson Imaging.
  
  Volume: 40 Pages: 920-928
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-25462910
[Journal Article] Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma: assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI2014
- Author(s)
  Fujima N, Yoshida D, Sakashita T, Homma A, Tsukahara A, Tha KK, Kudo K, Shirato H.
- Journal Title
  
  Magn Reson Imaging
  
  Volume: 32 Pages: 1206-1213
- NAID
  120005527830
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-25462910
[Journal Article] Arterial Spin Labeling to Determine Tumor Viability in Head and Neck Cancer before and after Treatment2014
- Author(s)
  Noriyuki Fujima, Kohsuke Kudo, Daisuke Yoshida, Akihiro Homma, Tomohiro Sakashita, Akiko Tsukahara, Khin Khin Tha, Yuri Zaitsu, Satoshi Terae, Hiroki Shirato
- Journal Title
  
  Journal of Magnetic Resonance Imaging
  
  Volume: 印刷中 Issue: 4 Pages: 920-928
- DOI
  10.1002/jmri.24421
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25861047
[Presentation] Prediction of the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma by FDG-PET imaging dataset using deep learning analysis2019
- Author(s)
  Fujima N,Andreu-Arasa VC,Meibom SK,Truong MT,Sakai O
- Organizer
  Head and Neck Cancer Symposium 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07661
[Presentation] Diffusion weighted T2-mapping for the determination of tissue characteristics in patients with head and neck squamous cell carcinoma2018
- Author(s)
  Noriyuki Fujima, Masami Yoneyama, Eunju Kim, Takuya Aoike, Suzuko Aoike, Kohsuke Kudo
- Organizer
  ISMRM 26th Annual meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K07661
[Presentation] Residual tumour detection in post-treatment granulation tissue by using advanced diffusion models in head and neck squamous cell carcinoma patients2017
- Author(s)
  Fujima N, Yoshida D, Sakashita T,Homma A, Kudo K
- Organizer
  ISMRM 25th Annual meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K19761
[Presentation] Evaluation of the water permeability using DW-ASL; assessment of the ischemic lesion in the brain2017
- Author(s)
  Fujima N, Okuaki T, Aoike S, Aoike T, Sugimori H, Kudo K
- Organizer
  ISMRM 25th Annual meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K19761
[Presentation] Diagnostic Performance of Dynamic Susceptibility Contrast Perfusion in Glioma Grading: Comparison of Cerebral Blood Volume among Different Analysis Software2015
- Author(s)
  Kudo K, Uwano I, Hirai T, Nakamura H, Fujima N, Yamashita F, Goodwin J, Higuchi S, Sasaki M
- Organizer
  ISMRM 23rd annual meeting
- Place of Presentation
  Metro Tronto Convention Center (Tronto, Canada)
- Year and Date
  2015-06-01
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26293269
[Presentation] Multiparametric Analysis using pCASL, IVIM and DKI for Head and Neck Squamous Cell Carcinoma2014
- Author(s)
  Fujima N, Yoshida D, Sakashita T, Homma A, Kudo K, Shirato H
- Organizer
  23rd ISMRM
- Place of Presentation
  MiCo - Milano Congressi （Milano, Italy）
- Data Source
  KAKENHI-PROJECT-25861047
[Presentation] Usefulness of Pseudo Continuous Arterial Spin Labeling for Head and Neck Squamous Cell Carcinoma2013
- Author(s)
  Fujima N
- Organizer
  ISMRM 21st Annual Meeting
- Place of Presentation
  Salt Palace Convention Center (USA)
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] Tumor Blood Flow Measurement by Pseudo-Continuous Arterial Spin Labeling (pCASL) in Head and Neck Cancer; Comparison to Dynamic Contrast Enhanced MRI2013
- Author(s)
  Noriyuki Fujima
- Organizer
  ECR (European Congress of Radiology) 2013
- Place of Presentation
  Vienna International Centre (Austria)
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] ASL、IVIM、DKIを用いた頭頸部扁平上皮癌におけるMulti-parametric analysis2013
- Author(s)
  ● 藤間憲幸、吉田大介、坂下智博、本間明宏、鈴木由里子、工藤與亮、白土博樹
- Organizer
  第41回日本磁気共鳴医学会
- Place of Presentation
  アスティとくしま（徳島）
- Data Source
  KAKENHI-PROJECT-25861047
[Presentation] Tumor Blood Flow Measurement by Pseudo-Continuous Arterial Spin Labeling (pCASL) in Head and Neck Cancer2013
- Author(s)
  Fujima N
- Organizer
  Comparison to Dynamic Contrast Enhanced MRI, ECR (European Congress of Radiology)2013
- Place of Presentation
  Vienna InternationalCentre (Austria)
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] pCASLおよびIVIM-DWIを利用した頭頸部腫瘍の早期治療効果判定と予後予測因子の検討2012
- Author(s)
  藤間憲幸
- Organizer
  第40回日本磁気共鳴医学会大会
- Place of Presentation
  国立京都国際会館(京都府)
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] 頭頚部腫瘍に対するArterial spin labelingの有用性の検討2011
- Author(s)
  藤間憲幸
- Organizer
  第39回日本磁気共鳴医学会大会
- Place of Presentation
  リーガロイヤルホテル小倉(福岡県)
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] 頭頚部腫瘍に対するArterial spin labelingの有用性の検討2011
- Author(s)
  藤間憲幸、吉田大介、坂下智博、本間明宏、塚原亜希子、Tha Ehin Khin、財津有里、寺江聡、白土博樹
- Organizer
  第39回日本磁気共鳴医学会大会
- Place of Presentation
  リーガロイヤルホテル小倉(福岡)
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] Arterial spin-labeling to detetmine tumor viability in head and neck cancer before and after treatment2011
- Author(s)
  Fujima N, Yoshida D, Sakasbita T, Homma A, Kudo K, Tsukahara A, Terae S, Shirato H
- Organizer
  RSNA 97th Scientific Assembly and Annual Meeting
- Place of Presentation
  McCormick Place (米国)
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] Arterial spin-labeling to determine tumor viability in head and neck cancer before and after treatment2011
- Author(s)
  Fujima N
- Organizer
  RSNA97th Scientific Assembly and Annual Meeting
- Place of Presentation
  McCormick Place (USA)
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] 頭頚部腫瘍へのArterial spin labelingの有用性の検討2011
- Author(s)
  藤間憲幸
- Organizer
  第124回日本医学放射線学会北日本地方会
- Place of Presentation
  アイーナいわて県民情報交流センター(岩手県)
- Year and Date
  2011-06-17
- Data Source
  KAKENHI-PROJECT-23890007
[Presentation] Oxygen Extraction Fraction Measurement using Quantitative Susceptibility Mapping in Patients with Chronic Cerebral Ischemia: Comparison with Positron Emission Tomography
- Author(s)
  Kudo K, Liu T, Goodwin J, Uwano I, Yamashita F, Higuchi S, Fujima N, Wang Y, Ogasawara K, Ogawa A, Sasaki M
- Organizer
  ISMRM 2014
- Place of Presentation
  Mico-Milano Congressi (Milano, Italy)
- Year and Date
  2014-05-12 – 2014-05-15
- Data Source
  KAKENHI-PROJECT-26293269
[Presentation] Multiparametric Analysis using pCASL, IVIM and DKI for Head and Neck Squamous Cell Carcinoma
- Author(s)
  Noriyuki Fujima, Daisuke Yoshida, Tomohiro Sakashita, Akihiro Homma, Yuriko Suzuki, and Kohsuke Kudo
- Organizer
  Joint Annual Meeting ISMRM-ESMRMB 2014
- Place of Presentation
  MiCo; Milano Congressi- Piazzale Carlo Magno (Milan, Italy)
- Year and Date
  2014-05-10 – 2014-05-16
- Data Source
  KAKENHI-PROJECT-25861047

1. 本間明宏 (30312359)

# of Collaborated Projects: 2 results

# of Collaborated Products: 7 results
2. Minowa Kazuyuki (30209845)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. Kudo Kohsuke (10374232)

# of Collaborated Projects: 1 results

# of Collaborated Products: 6 results
4. 真鍋治 (40443957)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 真鍋徳子 (70463742)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 佐々木真理 (80205864)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
7. 加藤扶美 (80399865)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 宮本憲幸 (10707110)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 阿保大介 (30399844)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 亀田浩之

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Fujima Noriyuki 藤間 憲幸

FUJIMA Noriyuki 藤間 憲幸

Research Projects

Research Products

Co-Researchers

先進的MRIと人工知能技術の融合：頭頸部癌の微小環境の画像化と予後予測モデル開発Principal Investigator

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The integration of non-invasive imaging of tumor characteristics with deep learning analysis for personalized decision making in patients with head and neck cancerPrincipal Investigator

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Development of the prognosis prediction model in patients with head and neck cancer using tumor biological characteristics-reflected MRI data and the artificial intelligence-based analysisPrincipal Investigator

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Development of the prognosis prediction method using treatment response mapping obtained by MRI for head and neck squamous cell carcinoma patientsPrincipal Investigator

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Development of Quantitative Cerebral Blood Flow and Oxygen Metabolism using O-17 Water and Oxygen Molecules

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Development of MR microscope for the squamous carcinoma in the oral cavity

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Development of non-invasive imaging technique for the detection of tumor functional informationPrincipal Investigator

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Development of quantitative viability and vascular territory mapping for head and neck cancer by using magnetic resonance imaging techniquePrincipal Investigator

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[Journal Article] Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach2024

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[Journal Article] Utility of Echo Planar Imaging With Compressed Sensing-Sensitivity Encoding (EPICS) for the Evaluation of the Head and Neck Region2024

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[Journal Article] Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging2023

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[Journal Article] Multiparametric machine learning algorithm for human papillomavirus status and survival prediction in oropharyngeal cancer patients2023

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[Journal Article] Non-Gaussian model-based diffusion-weighted imaging of oral squamous cell carcinoma: associations with Ki-67 proliferation status2023

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Fujima Noriyuki 藤間憲幸

FUJIMA Noriyuki 藤間憲幸