Surgical task analysis of simulated laparoscopic cholecystectomy with a navigation system. - Takaaki Sugino; H. Kawahira; Ryoichi Nakamura (Int. J. Comput. Assist. Radiol. Surg., 2014)

Automatic segmentation of head anatomical structures from sparsely-annotated images. - Takaaki Sugino; Holger R. Roth; Mohammad Eshghi; Masahiro Oda 001; Min Suk Chung; Kensaku Mori (CBS, 2017)

Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation. - Takaaki Sugino; Holger R. Roth; Masahiro Oda 001; Seiji Omata; Shinya Sakuma; Fumihito Arai; Kensaku Mori (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. - Holger R. Roth; Chen Shen 002; Hirohisa Oda; Takaaki Sugino; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (MICCAI (4), 2018)

Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model. - Takaaki Sugino; Holger R. Roth; Masahiro Oda 001; Kensaku Mori (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT. - Hirohisa Oda; Holger R. Roth; Takaaki Sugino; Naoki Sunaguchi; Noriko Usami; Masahiro Oda 001; Daisuke Shimao; Shu Ichihara; Tetsuya Yuasa; Masami Ando; Toshiaki Akita; Yuji Narita; et al. (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Comparative analysis of surgical processes for image-guided endoscopic sinus surgery. - Takaaki Sugino; Ryoichi Nakamura; Akihito Kuboki; Osamu Honda; Masashi Yamamoto; Nobuyoshi Ohtori (Int. J. Comput. Assist. Radiol. Surg., 2019)

Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database. - Tong Zheng 001; Hirohisa Oda; Takayasu Moriya; Takaaki Sugino; Shota Nakamura; Masahiro Oda 001; Masaki Mori; Hirotsugu Takabatake; Hiroshi Natori; Kensaku Mori (Image Processing, 2020)

Suction-fixing surgical device for assisting liver manipulation with laparoscopic forceps. - Yoshikazu Nakajima; Rina Suzuki; Yutaro Suzuki; Takaaki Sugino; Toshihiro Kawase; Shinya Onogi; Haruna Seki; Tatsuki Fujiwara; Katsuhiro Ohuchi (Int. J. Comput. Assist. Radiol. Surg., 2020)

Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes. - Tong Zheng 001; Hirohisa Oda; Takayasu Moriya; Takaaki Sugino; Shota Nakamura; Masahiro Oda 001; Masaki Mori; Hirotsugu Takabatake; Hiroshi Natori; Kensaku Mori (CoRR, 2020)

Label cleaning and propagation for improved segmentation performance using fully convolutional networks. - Takaaki Sugino; Yutaro Suzuki; Taichi Kin; Nobuhito Saito; Shinya Onogi; Toshihiro Kawase; Kensaku Mori; Yoshikazu Nakajima (Int. J. Comput. Assist. Radiol. Surg., 2021)

A Small and High-Speed Driving Mechanism for 3D Shape Measurement in Monocular Endoscopy. - Yoshikazu Nakajima; Nobuyuki Tanigaki; Takaaki Sugino; Toshihiro Kawase; Shinya Onogi (Sensors, 2021)

Improved segmentation of basal ganglia from MR images using convolutional neural network with crossover-typed skip connection. - Takaaki Sugino; Taichi Kin; Nobuhito Saito; Yoshikazu Nakajima (Int. J. Comput. Assist. Radiol. Surg., 2024)

Investigation of Appropriate Scaling of Networks and Images for Convolutional Neural Network-Based Nerve Detection in Ultrasound-Guided Nerve Blocks. - Takaaki Sugino; Shinya Onogi; Rieko Oishi; Chie Hanayama; Satoki Inoue; Shinjiro Ishida; Yuhang Yao; Nobuhiro Ogasawara; Masahiro Murakawa; Yoshikazu Nakajima (Sensors, 2024)

Improved segmentation of hepatic vascular networks in ultrasound volumes using 3D U-Net with intensity transformation-based data augmentation. - Yukino Takahashi; Takaaki Sugino; Shinya Onogi; Yoshikazu Nakajima; Kohji Masuda (Medical Biol. Eng. Comput., 2025)