نتائج البحث - Ryo Asaoka
- يعرض 1 - 20 نتائج من 20
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
The Relationship between Corvis ST Tonometry and Ocular Response Analyzer Measurements in Eyes with Glaucoma حسب Masato Matsuura, Kazunori Hirasawa, Hiroshi Murata, Mieko Yanagisawa, Yoshitaka Nakao, Shunsuke Nakakura, Yoshiaki Kiuchi, Ryo Asaoka
منشور في 2016Artigo -
9
-
10
-
11
-
12
The Relationship between Corvis ST Tonometry Measured Corneal Parameters and Intraocular Pressure, Corneal Thickness and Corneal Curvature حسب Ryo Asaoka, Shunsuke Nakakura, Hitoshi Tabuchi, Hiroshi Murata, Yoshitaka Nakao, Noriko Ihara, Ulfah Rimayanti, Makoto Aihara, Yoshiaki Kiuchi
منشور في 2015Artigo -
13
Assessing Visual Fields in Patients with Retinitis Pigmentosa Using a Novel Microperimeter with Eye Tracking: The MP-3 حسب Nozomi Igarashi, Masato Matsuura, Yohei Hashimoto, Kazunori Hirasawa, Hiroshi Murata, Tatsuya Inoue, Ryo Obata, Makoto Aihara, Ryo Asaoka
منشور في 2016Artigo -
14
Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images حسب Shotaro Asano, Ryo Asaoka, Hiroshi Murata, Yohei Hashimoto, Atsuya Miki, Kazuhiko Mori, Yoko Ikeda, Takashi Kanamoto, Junkichi Yamagami, Kenji Inoue
منشور في 2021Artigo -
15
Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation حسب Ryo Asaoka, Masaki Tanito, Naoto Shibata, Keita Mitsuhashi, Ken‐ichi Nakahara, Yuri Fujino, Masato Matsuura, Hiroshi Murata, Kana Tokumo, Yoshiaki Kiuchi
منشور في 2019Artigo -
16
Evaluation of Glaucoma Progression in Large-Scale Clinical Data: The Japanese Archive of Multicentral Databases in Glaucoma (JAMDIG) حسب Yuri Fujino, Ryo Asaoka, Hiroshi Murata, Atsuya Miki, Masaki Tanito, Shiro Mizoue, Kazuhiko Mori, Katsuyoshi SUZUKI, Takehiro Yamashita, Kenji Kashiwagi, Nobuyuki Shoji
منشور في 2016Artigo -
17
Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images حسب Ryo Asaoka, Hiroshi Murata, Kazunori Hirasawa, Yuri Fujino, Masato Matsuura, Atsuya Miki, Takashi Kanamoto, Yoko Ikeda, Kazuhiko Mori, Aiko Iwase, Nobuyuki Shoji, Kenji Inoue, Junkichi Yamagami, Makoto Araie
منشور في 2018Artigo -
18
ISCEV and IPS guideline for the full-field stimulus test (FST) حسب Jasleen K. Jolly, John Grigg, Allison M. McKendrick, Kaoru Fujinami, Artur V. Cideciyan, Dorothy Thompson, Chota Matsumoto, Ryo Asaoka, Chris A. Johnson, M. W. Dul, Paul H. Artes, Anthony G. Robson
منشور في 2024Artigo -
19
Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms حسب Mark Christopher, Ken‐ichi Nakahara, Christopher Bowd, James A. Proudfoot, Akram Belghith, Michael H. Goldbaum, Jasmin Rezapour, Robert N. Weinreb, Massimo A. Fazio, Christopher A. Girkin, Jeffrey M. Liebmann, Carlos Gustavo De Moraes, Hiroshi Murata, Kana Tokumo, Naoto Shibata, Yuri Fujino, Masato Matsuura, Yoshiaki Kiuchi, Masaki Tanito, Ryo Asaoka, Linda M. Zangwill
منشور في 2020Artigo -
20
Surveillance for ocular hypertension: an evidence synthesis and economic evaluation. حسب Jennifer Burr, P Botello-Pinzon, Yemisi Takwoingi, Rodolfo Hernández, Maria Vazquez-Montes, Andrew Elders, Ryo Asaoka, Katie Banister, J van der Schoot, Cynthia Fraser, Anthony King, Hans G. Lemij, Roshini Sanders, S A Vernon, Anja Tuulonen, Aachal Kotecha, Paul Glasziou, David F. Garway‐Heath, David P. Crabb, Luke Vale, Augusto Azuara‐Blanco, Rafael Perera, M Ryan, Jonathan J Deeks, Jonathan Cook
منشور في 2012Revisão
أدوات البحث:
موضوعات ذات صلة
Medicine
Ophthalmology
Glaucoma
Computer science
Optometry
Artificial intelligence
Mathematics
Statistics
Visual field
Intraocular pressure
Absolute deviation
Machine learning
Algorithm
Deep learning
Receiver operating characteristic
Cornea
Environmental health
Fundus (uterus)
Linear regression
Optical coherence tomography
Pathology
Physics
Retinal
Economics
Field (mathematics)
Intraclass correlation
Ocular hypertension
Open angle glaucoma
Population
Pure mathematics