最新情報はこちらから
https://researchmap.jp/sichikawa

欧文学術論文（*: corresponding author)

  1. Umezu M, Kondo Y, Ichikawa S, Sasaki Y, Kaneko K, Ozaki T, Koizumi N, Seki H. Artificial intelligence-based prediction of breast cancer recurrence using preoperative contrast-enhanced computed tomography and clinical information. Journal of Health Sciences of Niigata University. 2025;22. (in press)
  2. Yamada T, Yoshimura T, Ichikawa S, Sugimori H. Improving Cerebrovascular Imaging with Deep Learning: Semantic Segmentation for Time-of-Flight Magnetic Resonance Angiography Maximum Intensity Projection Image Enhancement. Applied Sciences. 2025;15(6):3034.
  3. Ichikawa S*, Kondo Y, Okamoto M, Kondo T, Takahashi N. Automated Prediction of Thoracic Vertebral Body Diameters from Computed Tomography Scans Using Deep Learning. Journal of Health Sciences of Niigata University. 2025;21:10-20.
  4. Inomata S, Yoshimura T, Tang M, Ichikawa S, Sugimori H. Automatic Aortic Valve Extraction Using Deep Learning with Contrast-enhanced Cardiac CT Images. J Cardiovasc Dev Dis. 2025;12(1):3.
  5. Ichikawa H, Ichikawa S*, Sawane Y. Machine learning-based estimation of patient body weight from radiation dose metrics in computed tomography. J Appl Clin Med Phys. 2024:e14467.
  6. Sakaida M, Yoshimura T, Tang M, Ichikawa S, Sugimori H, Hirata K, Kudo K. The Effectiveness of Semi-Supervised Learning Techniques in Identifying Calcifications in X-ray Mammography and the Impact of Different Classification Probabilities. Applied Sciences. 2024;14(14):5968.
  7. Ichikawa S*, Ozaki M, Itadani H, Sugimori H, Kondo Y. Deep learning-based correction for time truncation in cerebral computed tomography perfusion. Radiol Phys Technol. 2024;17(3):666-678.
  8. Moriya R, Yoshimura T, Tang M, Ichikawa S, Sugimori H. Development of a Method for Estimating the Angle of Lumbar Spine X-ray Images Using Deep Learning with Pseudo X-ray Images Generated from Computed Tomography. Applied Sciences. 2024;14(9):3794.
  9. Ichikawa S, Sugimori H. Estimating Body Weight From Measurements From Different Single-Slice Computed Tomography Levels: An Evaluation of Total Cross-Sectional Body Area Measurements and Deep Learning. J Comput Assist Tomogr. 2024;48(3):424-431.
  10. Ozaki M, Ichikawa S, Fukunaga M, Yamamoto H. Improving the depiction of small intracranial vessels in head computed tomography angiography: a comparative analysis of deep learning reconstruction and hybrid iterative reconstruction. Radiol Phys Technol. 2024;17(1):329-336.
  11. Sakaida M, Yoshimura T, Tang M, Ichikawa S, Sugimori H. Development of a Mammography Calcification Detection Algorithm Using Deep Learning with Resolution-Preserved Image Patch Division. Algorithms. 2023;16(10):483.
  12. Inomata S, Yoshimura T, Tang M, Ichikawa S, Sugimori H. Estimation of Left and Right Ventricular Ejection Fractions from cine-MRI Using 3D-CNN. Sensors (Basel). 2023;23(14):6580.
  13. Ichikawa S, Itadani H, Sugimori H. Deep learning-based body weight from scout images can be an alternative to actual body weight in CT radiation dose management. J Appl Clin Med Phys. 2023;24(8):e14080.
  14. Usui K, Yoshimura T, Ichikawa S, Sugimori H. Development of Chest X-ray Image Evaluation Software Using the Deep Learning Techniques. Applied Sciences. 2023;13(11):6695.
  15. Ichikawa S, Sugimori H, Ichijiri K, Yoshimura T, Nagaki A. Acquisition time reduction in pediatric 99m Tc-DMSA planar imaging using deep learning. J Appl Clin Med Phys. 2023;24(6):e13978.
  16. Ichikawa S, Itadani H, Sugimori H. Prediction of body weight from chest radiographs using deep learning with a convolutional neural network. Radiol Phys Technol. 2023;16(1):127-134.
  17. Ichikawa S, Itadani H, Sugimori H. Toward automatic reformation at the orbitomeatal line in head computed tomography using object detection algorithm. Phys Eng Sci Med. 2022;45(3):835-845.
  18. Ichikawa S, Hamada M, Sugimori H. A deep-learning method using computed tomography scout images for estimating patient body weight. Sci Rep. 2021;11(1):15627.
  19. Ichikawa S*, Yamamoto H, Morita T. Comparison of a Bayesian estimation algorithm and singular value decomposition algorithms for 80-detector row CT perfusion in patients with acute ischemic stroke. Radiol Med. 2021;126(6):795-803.
  20. Ichikawa S*, Hamada M, Watanabe D, Ito O, Moriya T, Yamamoto H. Optimal slice thickness of brain computed tomography using a hybrid iterative reconstruction algorithm for identifying hyperdense middle cerebral artery sign of acute ischemic stroke. Emerg Radiol. 2021;28(2):309-315. 
  21. Fukunaga M, Matsubara K, Ichikawa S, Mitsui H, Yamamoto H, Miyati T. CT dose management of adult patients with unknown body weight using an effective diameter. Eur J Radiol. 2021;135:109483. 
  22. Ichikawa S*, Yamamoto H, Ito O, Fukunaga M. Pulmonary Artery/Vein Separation Using Single-Phase Computed Tomography: Feasibility and the Influence of Patient Characteristics on Vessel Enhancement. J Thorac Imaging. 2020;35(3):173-178.
  23. Kato K, Yasojima N, Tamura K, Ichikawa S, Sutherland K, Kato M, Fukae J, Tanimura K, Tanaka Y, Okino T, Lu Y, Kamishima T. Detection of Fine Radiographic Progression in Finger Joint Space Narrowing Beyond Human Eyes: Phantom Experiment and Clinical Study with Rheumatoid Arthritis Patients. Sci Rep. 2019;9(1):8526.
  24. Kobayashi Y, Kamishima T, Sugimori H, Ichikawa S, Noguchi A, Kono M, Iiyama T, Sutherland K, Atsumi T. Quantification of hand synovitis in rheumatoid arthritis: Arterial mask subtraction reinforced with mutual information can improve accuracy of pixel-by-pixel time-intensity curve shape analysis in dynamic MRI. J Magn Reson Imaging. 2018;48(3);687-694.
  25. Okino T, Kamishima T, Lee Sutherland K, Fukae J, Narita A, Ichikawa S, Tanimura K. Radiographic temporal subtraction analysis can detect finger joint space narrowing progression in rheumatoid arthritis with clinical low disease activity. Acta Radiol. 2018;59(4):460-467.
  26. Kato K, Kamishima T, Kondo E, Onodera T, Ichikawa S. Quantitative knee cartilage measurement at MR imaging of patients with anterior cruciate ligament tear. Radiol Phys Technol. 2017;10(4):431-438.
  27. Ichikawa S, Kamishima T, Sutherland K, Fukae J, Katayama K, Aoki Y, Okubo T, Okino T, Kaneda T, Takagi S, Tanimura K. Computer-Based Radiographic Quantification of Joint Space Narrowing Progression Using Sequential Hand Radiographs: Validation Study in Rheumatoid Arthritis Patients from Multiple Institutions. J Digit Imaging. 2017;30(5):648-656.
  28. Fujimori M, Nakamura S, Hasegawa K, Ikeno K, Ichikawa S, Sutherland K, Kamishima T. Cartilage quantification using contrast-enhanced MRI in the wrist of rheumatoid arthritis: cartilage loss is associated with bone marrow edema. Br J Radiol. 2017;90(1077):20170167.
  29. Ichikawa S, Kamishima T, Sutherland K, Kasahara H, Shimizu Y, Fujimori M, Yasojima N, Ono Y, Kaneda T, Koike T. Semi-Automated Quantification of Finger Joint Space Narrowing Using Tomosynthesis in Patients with Rheumatoid Arthritis. J Digit Imaging. 2017;30(3):369-375.
  30. Hatano K, Kamishima T, Sutherland K, Kato M, Nakagawa I, Ichikawa S, Kawauchi K, Saitou S, Mukai M. A reliability study using computer-based analysis of finger joint space narrowing in rheumatoid arthritis patients. Rheumatol Int. 2017;37(2):189-195.
  31. Ichikawa S, Kamishima T, Sutherland K, Okubo T, Katayama K. Radiographic quantifications of joint space narrowing progression by computer-based approach using temporal subtraction in rheumatoid wrist. Br J Radiol. 2016;89(1057):20150403.
  32. Ichikawa S, Kamishima T, Sutherland K, Okubo T, Katayama K. Performance of computer-based analysis using temporal subtraction to assess joint space narrowing progression in rheumatoid patients. Rheumatol Int. 2016;36(1):101-8.

和文学術論文

  1. 佐藤 充, 星野 洋満, 清水 正挙, 大﨑 洋充, 小倉 敏裕, 市川 翔太, 近藤 達也, 岡本 昌士. 複合現実装置を用いた患者への放射性医薬品誤投与防止のための患者–放射性医薬品照合システムの開発—複合現実装置搭載カメラで取得した映像を基にした深層学習モデルの開発—, RADIOISOTOPES, 2025;74(1):25-37.
  2. 山崎 芳裕, 市川 翔太. 大学教育機関内における告示研修の対応について．日本放射線技師教育学会論文誌，2024;14(1):27-31．
  3. 市川 肇 , 伊藤 惠望, 松原 孝祐, 市川 翔太, 加藤 豊大, 澤根 康裕, 加藤 大貴. 利用目的の異なるCT装置におけるファントムを用いたEffective DiameterおよびWater Equivalent Diameterの精度評価. 日本放射線技術学会雑誌, 2024;80(11):1115-1123.
  4. 佐藤 充, 星野 洋満, 清水 正挙, 大﨑 洋充, 市川 翔太, 近藤 達也, 岡本昌士. スマートフォンを用いた誤投与防止のための患者–放射性医薬品照合システムの開発—実現可能性検討—. RADIOISOTOPES, 2024;73(1):69-80.
  5. 福永 正明, 松原 孝祐, 竹井 泰孝, 光井 英樹, 亀井山 弘晃, 田中 孝尚, 市川 翔太. 移動型整形外科用イメージング装置を用いた 腰椎後方固定術時における室内散乱線量分布の測定. 日本放射線技術学会雑誌, 2020;76(6):572-578.