Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Mao, Tanabe"'
Autor:
Daisuke Nagasato, MD, PhD, Yuki Muraoka, MD, PhD, Mao Tanabe, MD, Naomi Nishigori, MD, Rie Osaka, MD, Yoshinori Mitamura, MD, PhD, Hitoshi Tabuchi, MD, PhD, Tomoaki Murakami, MD, PhD, Sotaro Ooto, MD, Kiyoshi Suzuma, MD, PhD, Akitaka Tsujikawa, MD, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 2, Pp 100418- (2024)
Purpose: The aim of this study was to examine the effects of foveal thickness (FT) fluctuation (FTF) on 2-year visual and morphological outcomes of eyes with central retinal vein occlusion (CRVO) undergoing anti-VEGF treatment for recurrent macular e
Externí odkaz:
https://doaj.org/article/5dee6e0247834ef2b72f7155cd795972
Autor:
Mao Tanabe, Ryuichi Sakate, Jun Nakabayashi, Kyosuke Tsumura, Shino Ohira, Kaoru Iwato, Tomonori Kimura
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract In the field of rare and intractable diseases, new drug development is difficult and drug repositioning (DR) is a key method to improve this situation. In this study, we present a new method for finding DR candidates utilizing virtual screen
Externí odkaz:
https://doaj.org/article/ca06b33d007749f7ae8b957227a14aee
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-6 (2023)
Abstract This retrospective study examined the effect of the size of training data on the accuracy of machine learning-assisted SRK/T power calculation. Clinical records of 4800 eyes of 4800 Japanese patients with intraocular lenses (IOLs) were revie
Externí odkaz:
https://doaj.org/article/21aad23ce7ad423f82005d29eb4fed24
Autor:
Kaori Hanai, Hitoshi Tabuchi, Daisuke Nagasato, Mao Tanabe, Hiroki Masumoto, Sakurako Miya, Natsuno Nishio, Hirohiko Nakamura, Masato Hashimoto
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract This study aimed to develop a diagnostic software system to evaluate the enlarged extraocular muscles (EEM) in patients with Graves’ ophthalmopathy (GO) by a deep neural network.This prospective observational study involved 371 participant
Externí odkaz:
https://doaj.org/article/5d358b77c5364a598f9de58f0361ea1d
Autor:
Hitoshi Tabuchi, Tomofusa Yamauchi, Toshihiko Nagasawa, Hodaka Deguchi, Mao Tanabe, Hayato Tanaka, Tsutomu Yasukawa
Publikováno v:
Bioengineering, Vol 10, Iss 12, p 1426 (2023)
(1) Background: Age-related Macular Degeneration (AMD) is a critical condition leading to blindness, necessitating lifelong clinic visits for management, albeit with existing challenges in monitoring its long-term progression. This study introduced a
Externí odkaz:
https://doaj.org/article/ade19a4e58184acc8878f1aae7ee4699
Autor:
Hitoshi Tabuchi, Engelmann, Justin, Fumiatsu Maeda, Ryo Nishikawa, Toshihiko Nagasawa, Tomofusa Yamauchi, Mao Tanabe, Masahiro Akada, Keita Kihara, Yasuyuki Nakae, Yoshiaki Kiuchi, Bernabeu, Miguel O.
Publikováno v:
British Journal of Ophthalmology; Oct2024, Vol. 108 Issue 10, p1430-1435, 14p
Autor:
Takahiko Hayashi, Hiroki Masumoto, Hitoshi Tabuchi, Naofumi Ishitobi, Mao Tanabe, Michael Grün, Björn Bachmann, Claus Cursiefen, Sebastian Siebelmann
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
Abstract The efficacy of deep learning in predicting successful big-bubble (SBB) formation during deep anterior lamellar keratoplasty (DALK) was evaluated. Medical records of patients undergoing DALK at the University of Cologne, Germany between Marc
Externí odkaz:
https://doaj.org/article/b919681a42f845cd992eb3f80e6cb74e
Autor:
Yoshihiro Tokuda, Hitoshi Tabuchi, Toshihiko Nagasawa, Mao Tanabe, Hodaka Deguchi, Yuki Yoshizumi, Zaigen Ohara, Hiroshi Takahashi
Publikováno v:
Medicina, Vol 58, Iss 11, p 1681 (2022)
Background and Objectives: The present study evaluated the detection of diabetic retinopathy (DR) using an automated fundus camera focusing exclusively on retinal hemorrhage (RH) using a deep convolutional neural network, which is a machine-learning
Externí odkaz:
https://doaj.org/article/679aedae592e446788810858a1c7aecc
Autor:
Hitoshi Tabuchi, Justin Engelmann, Fumiatsu Maeda, Ryo Nishikawa, Toshihiko Nagasawa, Tomofusa Yamauchi, Mao Tanabe, Masahiro Akada, Yoshiaki Kiuchi, Miguel Bernabeu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d28f28b05167f4fddf60030dd4e796b3
https://doi.org/10.2139/ssrn.4448612
https://doi.org/10.2139/ssrn.4448612
Autor:
Naofumi Ishitobi, Yoshie Shimizu, Mao Tanabe, Daisuke Nagasato, Yoshiaki Kiuchi, Hiroki Ochi, Hiroki Masumoto, Hitoshi Tabuchi
Publikováno v:
Graefe's Archive for Clinical and Experimental Ophthalmology. 260:1329-1335
PURPOSE To assess the performance of artificial intelligence in the automated classification of images taken with a tablet device of patients with blepharoptosis and subjects with normal eyelid. METHODS This is a prospective and observational study.