Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Hajime Nagahara"'
Autor:
Junya Sato, Tatsuya Matsumoto, Ryuta Nakao, Hideo Tanaka, Hajime Nagahara, Hirohiko Niioka, Tetsuro Takamatsu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Rapid and precise intraoperative diagnosing systems are required for improving surgical outcomes and patient prognosis. Because of the poor quality and time-intensive process of the prevalent frozen section procedure, various intraoperative
Externí odkaz:
https://doaj.org/article/432a4a395d0244ff9308051dd76b266f
Autor:
Yasutaka Okita, Toru Hirano, Bowen Wang, Yuta Nakashima, Saki Minoda, Hajime Nagahara, Atsushi Kumanogoh
Publikováno v:
Arthritis Research & Therapy, Vol 25, Iss 1, Pp 1-7 (2023)
Abstract Background This work aims to develop a deep learning model, assessing atlantoaxial subluxation (AAS) in rheumatoid arthritis (RA), which can often be ambiguous in clinical practice. Methods We collected 4691 X-ray images of the cervical spin
Externí odkaz:
https://doaj.org/article/e1883ed7fa32497ab5cc759d065c93a0
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Purpose Estimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility utilization especially if it is done in real-time as a remaining surgery duration (RSD). Surgical l
Externí odkaz:
https://doaj.org/article/7e22c4c87bbc496ba7ed306ec94139c6
Publikováno v:
IEEE Access, Vol 11, Pp 95724-95733 (2023)
Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject but contain enough information for machines to infer information. Unfortunately, protecting visual privacy comes w
Externí odkaz:
https://doaj.org/article/ae1eb7d65a8b4493922fa79304358ef7
Autor:
Anh Ngoc Pham, Thoriq Ibrahim, Keita Yasutomi, Shoji Kawahito, Hajime Nagahara, Keiichiro Kagawa
Publikováno v:
Sensors, Vol 23, Iss 23, p 9332 (2023)
In this paper, we present a prototype pseudo-direct time-of-flight (ToF) CMOS image sensor, achieving high distance accuracy, precision, and robustness to multipath interference. An indirect ToF (iToF)-based image sensor, which enables high spatial r
Externí odkaz:
https://doaj.org/article/849bbe5064d6477483a33f54fdb388a2
Autor:
Daiki Ishimaru, Hiroyoshi Adachi, Teruhiro Mizumoto, Viktor Erdelyi, Hajime Nagahara, Shizuka Shirai, Haruo Takemura, Noriko Takemura, Mehrasa Alizadeh, Teruo Higashino, Yasushi Yagi, Manabu Ikeda
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
IntroductionDeveloping approaches for early detection of possible risk clusters for mental health problems among undergraduate university students is warranted to reduce the duration of untreated illness (DUI). However, little is known about indicato
Externí odkaz:
https://doaj.org/article/e7f52555aba44d71beaa64e0ea71c49b
Autor:
Hirohiko Niioka, Teruyoshi Kume, Takashi Kubo, Tsunenari Soeda, Makoto Watanabe, Ryotaro Yamada, Yasushi Sakata, Yoshihiro Miyamoto, Bowen Wang, Hajime Nagahara, Jun Miyake, Takashi Akasaka, Yoshihiko Saito, Shiro Uemura
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract This study sought to develop a deep learning-based diagnostic algorithm for plaque vulnerability by analyzing intravascular optical coherence tomography (OCT) images and to investigate the relation between AI-plaque vulnerability and clinica
Externí odkaz:
https://doaj.org/article/489ab35aa1ee425ba11ebbc07f4577e8
Autor:
Michitaka Yoshida, Akihiko Torii, Masatoshi Okutomi, Rin-ichiro Taniguchi, Hajime Nagahara, Yasushi Yagi
Publikováno v:
Sensors, Vol 23, Iss 17, p 7535 (2023)
A camera captures multidimensional information of the real world by convolving it into two dimensions using a sensing matrix. The original multidimensional information is then reconstructed from captured images. Traditionally, multidimensional inform
Externí odkaz:
https://doaj.org/article/0f9f4ec6eaa640be9a48f8ba7b2d71e5
Publikováno v:
PLOS Digital Health, Vol 2, Iss 1, p e0000174 (2023)
The morphological feature of retinal arterio-venous crossing patterns is a valuable source of cardiovascular risk stratification as it directly captures vascular health. Although Scheie's classification, which was proposed in 1953, has been used to g
Externí odkaz:
https://doaj.org/article/ccc7fe943e114274be067e62b7886bb8
Publikováno v:
IEEE Access, Vol 9, Pp 46810-46820 (2021)
Semantic video segmentation is a key challenge for various applications. This paper presents a new model named Noisy-LSTM, which is trainable in an end-to-end manner, with convolutional LSTMs (ConvLSTMs) to leverage the temporal coherence in video fr
Externí odkaz:
https://doaj.org/article/2ea7ab32bd3342e9b5368c4c026f378a