no code implementations • 13 Jan 2022 • Masahiro Oda, Kiyohito Tanaka, Hirotsugu TAKABATAKE, Masaki MORI, Hiroshi NATORI, Kensaku MORI
Virtual endoscopic images are generated by using a volume rendering method from a CT volume of a patient.
no code implementations • 12 Jan 2022 • Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu TAKABATAKE, Masaki MORI, Hiroshi NATORI, Kensaku MORI
The identification accuracy of the network improved from 69. 2% to 74. 1% by using the estimated depth images.
no code implementations • 11 Mar 2021 • Yuuki Nishiyama, Yuui Kakino, Enishi Naka, Yuka Noda, Satsuki Hashiba, Yusuke Yamada, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Masaki MORI, Hisashi Mizutori, Kotomi Shiota, Tomohisa Nagano, Yuko Tokairin, Takaaki Kato
Hence, in this study, we collected daily PA data (including the data corresponding to the number of steps taken and the data associated with six types of activities) by employing smartphones and thereby analyzed the changes in the PA of university students.
Computers and Society J.4; H.4.0; H.5.3
no code implementations • 20 Oct 2020 • Tong Zheng, Hirohisa ODA, Masahiro Oda, Shota NAKAMURA, Masaki MORI, Hirotsugu TAKABATAKE, Hiroshi NATORI, Kensaku MORI
Unsupervised SR methods are required that do not need paired LR and HR images.
no code implementations • 7 Apr 2020 • Tong ZHENG, Hirohisa ODA, Takayasu MORIYA, Takaaki SUGINO, Shota NAKAMURA, Masahiro Oda, Masaki MORI, Hirotsugu TAKABATAKE, Hiroshi NATORI, Kensaku MORI
This paper presents a super-resolution (SR) method with unpaired training dataset of clinical CT and micro CT volumes.
no code implementations • 30 Dec 2019 • Tong Zheng, Hirohisa ODA, Takayasu MORIYA, Shota NAKAMURA, Masahiro Oda, Masaki MORI, Horitsugu Takabatake, Hiroshi NATORI, Kensaku MORI
This paper newly introduces multi-modality loss function for GAN-based super-resolution that can maintain image structure and intensity on unpaired training dataset of clinical CT and micro CT volumes.