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Yoshinobu Sato

Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma city, Japan

Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network

Dec 21, 2020
Keisuke Uemura, Yoshito Otake, Masaki Takao, Mazen Soufi, Akihiro Kawasaki, Nobuhiko Sugano, Yoshinobu Sato

* 29 pages, 7 figures. The source code and the model used for segmenting the phantom are open and can be accessed via https://github.com/keisuke-uemura/CT-Intensity-Calibration-Phantom-Segmentation 

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Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph

Oct 29, 2019
Ata Jodeiri, Reza A. Zoroofi, Yuta Hiasa, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato, Yoshito Otake

* Accepted at ICBME 2019 

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Estimation of Pelvic Sagittal Inclination from Anteroposterior Radiograph Using Convolutional Neural Networks: Proof-of-Concept Study

Oct 26, 2019
Ata Jodeiri, Yoshito Otake, Reza A. Zoroofi, Yuta Hiasa, Masaki Takao, Keisuke Uemura, Nobuhiko Sugano, Yoshinobu Sato

* Best Technical Paper Award Winner of CAOS 2018 (https://www.caos-international.org/award-paper.php

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Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model

Jul 21, 2019
Yuta Hiasa, Yoshito Otake, Masaki Takao, Takeshi Ogawa, Nobuhiko Sugano, Yoshinobu Sato

* 11 pages, 10 figures, and supplementary materials 

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Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction

Jun 27, 2019
Mitsuki Sakamoto, Yuta Hiasa, Yoshito Otake, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato

* 7 pages, 5 figures 

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Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review

Dec 20, 2018
Juan J. Cerrolaza, Mirella Lopez-Picazo, Ludovic Humbert, Yoshinobu Sato, Daniel Rueckert, Miguel Angel Gonzalez Ballester, Marius George Linguraru

* Paper under review 

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Dynamic Block Matching to assess the longitudinal component of the dense motion field of the carotid artery wall in B-mode ultrasound sequences - Association with coronary artery disease

Sep 21, 2018
Guillaume Zahnd, Kozue Saito, Kazuyuki Nagatsuka, Yoshito Otake, Yoshinobu Sato


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Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size

Jul 31, 2018
Yuta Hiasa, Yoshito Otake, Masaki Takao, Takumi Matsuoka, Kazuma Takashima, Jerry L. Prince, Nobuhiko Sugano, Yoshinobu Sato

* 10 pages, 7 figures, MICCAI 2018 Workshop on Simulation and Synthesis in Medical Imaging 

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