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ORCIDTakaaki Sugino
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2020 – today
- 2024
[j7]Takaaki Sugino
, Taichi Kin, Nobuhito Saito, Yoshikazu Nakajima:
Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection. Int. J. Comput. Assist. Radiol. Surg. 19(3): 433-442 (2024)- [j6]Takaaki Sugino, Shinya Onogi, Rieko Oishi, Chie Hanayama, Satoki Inoue, Shinjiro Ishida, Yuhang Yao, Nobuhiro Ogasawara, Masahiro Murakawa, Yoshikazu Nakajima:
Investigation of Appropriate Scaling of Networks and Images for Convolutional Neural Network-Based Nerve Detection in Ultrasound-Guided Nerve Blocks. Sensors 24(11): 3696 (2024) - 2021
- [j5]Takaaki Sugino, Yutaro Suzuki, Taichi Kin, Nobuhito Saito, Shinya Onogi, Toshihiro Kawase, Kensaku Mori, Yoshikazu Nakajima:
Label cleaning and propagation for improved segmentation performance using fully convolutional networks. Int. J. Comput. Assist. Radiol. Surg. 16(3): 349-361 (2021) - [j4]Yoshikazu Nakajima, Nobuyuki Tanigaki, Takaaki Sugino, Toshihiro Kawase, Shinya Onogi:
A Small and High-Speed Driving Mechanism for 3D Shape Measurement in Monocular Endoscopy. Sensors 21(14): 4887 (2021) - 2020
- [j3]Yoshikazu Nakajima, Rina Suzuki, Yutaro Suzuki, Takaaki Sugino, Toshihiro Kawase, Shinya Onogi, Haruna Seki, Tatsuki Fujiwara, Katsuhiro Ohuchi:
Suction-fixing surgical device for assisting liver manipulation with laparoscopic forceps. Int. J. Comput. Assist. Radiol. Surg. 15(10): 1653-1664 (2020) - [c6]Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database. Image Processing 2020: 1131305 - [i2]Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes. CoRR abs/2004.03272 (2020)
2010 – 2019
- 2019
- [j2]Takaaki Sugino, Ryoichi Nakamura, Akihito Kuboki, Osamu Honda, Masashi Yamamoto, Nobuyoshi Ohtori:
Comparative analysis of surgical processes for image-guided endoscopic sinus surgery. Int. J. Comput. Assist. Radiol. Surg. 14(1): 93-104 (2019) - [c5]Hirohisa Oda, Holger R. Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko Usami, Masahiro Oda, Daisuke Shimao, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Toshiaki Akita, Yuji Narita, Kensaku Mori:
Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531I - 2018
- [c4]Takaaki Sugino, Holger R. Roth, Masahiro Oda, Seiji Omata, Shinya Sakuma, Fumihito Arai, Kensaku Mori:
Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780V - [c3]Takaaki Sugino, Holger R. Roth, Masahiro Oda, Kensaku Mori:
Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 118-126 - [c2]Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. MICCAI (4) 2018: 417-425 - [i1]Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation. CoRR abs/1806.02237 (2018) - 2017
- [c1]Takaaki Sugino, Holger R. Roth, Mohammad Eshghi, Masahiro Oda, Min Suk Chung, Kensaku Mori:
Automatic segmentation of head anatomical structures from sparsely-annotated images. CBS 2017: 145-149 - 2014
- [j1]Takaaki Sugino, H. Kawahira, Ryoichi Nakamura:
Surgical task analysis of simulated laparoscopic cholecystectomy with a navigation system. Int. J. Comput. Assist. Radiol. Surg. 9(5): 825-836 (2014)
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