Personnel Information

写真a

SUGINO Takaaki


Job title

Assistant Professor
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Graduate School 【 display / non-display 】

  • Chiba University, Graduate School, Division of Engineering, Master's Course, 2014.03, Completed

  • Chiba University, Graduate School, Division of Engineering, Doctor's Course, 2017.03, Completed

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Campus Career 【 display / non-display 】

  • 2019.04
    -
    2023.03
    Tokyo Medical and Dental University， Institute of Biomaterials and Bioengineering， Medical Devices， Biomedical Information， Assistant Professor
  • 2023.04
    -
    Now
    Tokyo Medical and Dental University， Institute of Biomaterials and Bioengineering， -， -， Assistant Professor
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External Career 【 display / non-display 】

  • 2017.04
    -
    2019.03
    Nagoya University, Graduate School of Informatics, Research fellow
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Research Areas 【 display / non-display 】

  • Medical systems

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Published Papers & Misc 【 display / non-display 】

  1. Sugino T, Onogi S, Oishi R, Hanayama C, Inoue S, Ishida S, Yao Y, Ogasawara N, Murakawa M, Nakajima Y. Investigation of Appropriate Scaling of Networks and Images for Convolutional Neural Network-Based Nerve Detection in Ultrasound-Guided Nerve Blocks. Sensors (Basel, Switzerland). 2024.06; 24 (11): 3696. ( PubMed, DOI )

  2. Sugino T, Kin T, Saito N, Nakajima Y. Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection. International journal of computer assisted radiology and surgery. 2024.03; 19 (3): 433-442. ( PubMed, DOI )

  3. Ishikawa Yuya, Sugino Takaaki, Okubo Kenichi, Nakajima Yoshikazu. Detecting the location of lung cancer on thoracoscopic images using deep convolutional neural networks SURGERY TODAY. 2023.06; 53 (12): 1380-1387. ( PubMed, DOI )

  4. Ogawa Takahisa, Yoshii Toshitaka, Oyama Jun, Sugimura Nobuhiro, Akada Takashi, Sugino Takaaki, Hashimoto Motonori, Morishita Shingo, Takahashi Takuya, Motoyoshi Takayuki, Oyaizu Takuya, Yamada Tsuyoshi, Onuma Hiroaki, Hirai Takashi, Inose Hiroyuki, Nakajima Yoshikazu, Okawa Atsushi. Detecting ossification of the posterior longitudinal ligament on plain radiographs using a deep convolutional neural network: a pilot study SPINE JOURNAL. 2022.06; 22 (6): 934-940. ( PubMed, DOI )

  5. Sugino T, Roth HR, Oda M, Kin T, Saito N, Nakajima Y, Mori K. Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation. Medical physics. 2021.08; 48 (11): 7215-7227. ( PubMed, DOI )

  6. Nakajima Y, Sugino T, Kobayashi M, Nakashima Y, Wada Y, Okumiya Y, Yataka K, Suzuki K, Kawase T, Onogi S, Okubo K. Complex-Valued Wavelet Spectrum Analysis of Respiratory Conditions and Its Feasibility in the Detection of Low-Functional Respiration. Healthcare (Basel, Switzerland). 2021.08; 9 (8): ( PubMed, DOI )

  7. Nakajima Y, Tanigaki N, Sugino T, Kawase T, Onogi S. A Small and High-Speed Driving Mechanism for 3D Shape Measurement in Monocular Endoscopy. Sensors (Basel, Switzerland). 2021.07; 21 (14): ( PubMed, DOI )

  8. Sugino T, Kawase T, Onogi S, Kin T, Saito N, Nakajima Y. Loss Weightings for Improving Imbalanced Brain Structure Segmentation Using Fully Convolutional Networks. Healthcare (Basel, Switzerland). 2021.07; 9 (8): ( PubMed, DOI )

  9. Kawase Toshihiro, Sugino Takaaki, Onogi Shinya, Kawashima Kenji, Nakajima Yoshikazu. Improvement of a Tunable Stiffness Organ-Grasping Device by Design of a Wavy-Shaped Beam Structure APPLIED SCIENCES-BASEL. 2021.05; 11 (10): ( DOI )

  10. Sugino Takaaki, Suzuki Yutaro, Kin Taichi, Saito Nobuhito, Onogi Shinya, Kawase Toshihiro, Mori Kensaku, Nakajima Yoshikazu. Label cleaning and propagation for improved segmentation performance using fully convolutional networks INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY. 2021.03; 16 (3): 349-361. ( PubMed, DOI )

  11. Nakajima Yoshikazu, Suzuki Rina, Suzuki Yutaro, Sugino Takaaki, Kawase Toshihiro, Onogi Shinya, Seki Haruna, Fujiwara Tatsuki, Ouchi Katsuhiro. Suction-fixing surgical device for assisting liver manipulation with laparoscopic forceps INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY. 2020.10; 15 (10): 1653-1664. ( PubMed, DOI )

  12. Oda H, Roth HR, Sugino T, Sunaguchi N, Usami N, Oda M, Shimao D, Ichihara S, Yuasa T, Ando M, Akita T, Narita Y, Mori K. Cardiac fiber tracking on super high-resolution CT images: a comparative study. Journal of medical imaging (Bellingham, Wash.). 2020.03; 7 (2): 026001. ( PubMed, DOI )

  13. Sugino T, Nakamura R, Kuboki A, Honda O, Yamamoto M, Ohtori N. Comparative analysis of surgical processes for image-guided endoscopic sinus surgery. International journal of computer assisted radiology and surgery. 2019.01; 14 (1): 93-104. ( PubMed, DOI )

  14. Takaaki Sugino, Hiroshi Kawahira, Ryoichi Nakamura. Comprehensive surgical task analysis on image-guided surgery Journal of Medical Imaging and Health Informatics. 2017.08; 7 (4): 780-787. ( DOI )

  15. Sugino Takaaki, Nakamura Ryoichi, Kuboki Akihito, Honda Osamu, Yamamoto Masashi, Ohtori Nobuyoshi. ナビゲーション情報による内視鏡下副鼻腔手術のためのカメラ操作の定量的分析　臨床研究(Quantitative Analysis of a Camera Operation for Endoscopic Sinus Surgery Using a Navigation Information: Clinical Study) 日本コンピュータ外科学会誌. 2017.01; 19 (1): 17-26. ( ichushi )

  16. Takaaki Sugino, Hiroshi Kawahira, Ryoichi Nakamura. Surgical task analysis of simulated laparoscopic cholecystectomy with a navigation system International Journal of Computer Assisted Radiology and Surgery. 2014.09; 9 (5): 825-836. ( DOI )

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Conference Activities & Talks 【 display / non-display 】

  1. Sugino T, Kin T, Saito N, Nakajima Y. Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection. 2023 Computer Assisted Radiology and Surgery International Congress (CARS 2023) 2023.06.21 Munich, Germany / Online

  2. Sugino T, Ishikawa Y, Okubo K, Nakajima Y. Convolutional neural network-based lesion detection for thoracoscopic lung cancer surgery. The 7th International Symposium on Biomedical Engineering (ISBE 2022) 2022.11.25

  3. Sugino T, Kin T, Saito N, Nakajima Y. Automatic segmentation of basal ganglia on MRI images using fully convolutional network. The 7th International Symposium on Biomedical Engineering (ISBE 2022) 2022.11.25

  4. Kasahara D, Iwazaki H, Takei M, Sugino T, Onogi S, Nakajima Y, Masuda K. Automatic extraction of blood vessel network using image processing based on Hessian matrix in ultrasonic volume. The 43rd Symposium on UltraSonic Electronics (USE 2022) 2022.11.08

  5. Sugino T, Kin T, Saito N, Nakajima Y. Two-stage convolutional neural network-based approach for improved segmentation of basal ganglia on MR images. 2022 Computer Assisted Radiology and Surgery International Congress (CARS 2022) 2022.06.07

  6. Kawase T, Sugino T, Onogi S, Miyazaki T, Kawashima K, Nakajima Y. Improved design of a wavy-shaped beam structure for a tunable stiffness grasping device. The 6th International Symposium on Biomedical Engineering 2021.12.03

  7. Toshihiro Kawase, Rina Suzuki, Takaaki Sugino, Shinya Onogi, Yoshikazu Nakajima. Effect of beam design on function of stiffness-tunable organ grasping device: a FEM study. 2020 Asian Conference on Computer Assisted Surgery (ACCAS 2020) 2020.11.27

  8. Takaaki Sugino, Yutaro Suzuki, Taichi Kin, Nobuhito Saito, Yoshikazu Nakajima. Comparative analysis of deep learning-based automatic brain segmentation techniques. Asian Conference on Computer Aided Surgery 2019 2019.11.25

  9. Takaaki Sugino, Yutaro Suzuki, Taichi Kin, Nobuhito Saito, Yoshikazu Nakajima. AI segmentation for advanced anatomical visualization. The 4th International Symposium on Biomedical Engineering (ISBE2019) 2019.11.15

  10. Sugino Takaaki, Roth Holger R, Oda Masahiro, Omata Seiji, Sakuma Shinya, Arai Fumihito, Mori Kensaku. Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation. MEDICAL IMAGING 2018: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING 2018

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Campus class subject 【 display / non-display 】

  • Biomedical System Science and Engineering Ⅱ，2020 - Now

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