Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yuka, Kihara"'
Autor:
Yuka Kihara, MS, Mengxi Shen, MD, Yingying Shi, MD, Xiaoshuang Jiang, MD, PhD, Liang Wang, BS, Rita Laiginhas, MD, PhD, Cancan Lyu, MD, PhD, Jin Yang, MD, PhD, Jeremy Liu, BS, Rosalyn Morin, Randy Lu, BS, Hironobu Fujiyoshi, PhD, William J. Feuer, MS, Giovanni Gregori, PhD, Philip J. Rosenfeld, MD, PhD, Aaron Y. Lee, MD, MSCI
Publikováno v:
Ophthalmology Science, Vol 2, Iss 4, Pp 100197- (2022)
Purpose: A deep learning model was developed to detect nonexudative macular neovascularization (neMNV) using OCT B-scans. Design: Retrospective review of a prospective, observational study. Participants: Normal control eyes and patients with age-rela
Externí odkaz:
https://doaj.org/article/9bd4ade49bdc498e8aef556147802cd8
Autor:
Yukiyo Yamasaki, Hiroka Sumioka, Ivan Galis, Tomonori Shinya, Mayu Takiguchi, Gen Ichiro Arimura, Takuya Uemura, Yuka Kihara
Publikováno v:
New Phytologist. 231:2029-2038
A vast array of herbivorous arthropods live with symbiotic microorganisms. However, little is known about the nature and functional mechanism of bacterial effects on plant defense responses towards herbivores. We explored the role of microbes present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08e03b91f2099177fef8472332b119bf
https://doi.org/10.1111/nph.17444
https://doi.org/10.1111/nph.17444
Autor:
Yuka Kihara, Giovanni Montesano, Andrew Chen, Nishani Amerasinghe, Chrysostomos Dimitriou, Aby Jacob, Almira Chabi, David P. Crabb, Aaron Y. Lee
Publikováno v:
Ophthalmology
PURPOSE: To develop and validate a deep learning (DL) system for predicting each point on visual fields (VF) from disc and optical coherence tomography (OCT) imaging and derive a structure-function mapping. DESIGN: Retrospective, cross-sectional data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54bc4bce9de03e53e605f85422ba7ba0
https://pubmed.ncbi.nlm.nih.gov/35202616
https://pubmed.ncbi.nlm.nih.gov/35202616
Autor:
Philipp L, Müller, Yuka, Kihara, Abraham, Olvera-Barrios, Alasdair N, Warwick, Catherine, Egan, Katie M, Williams, Aaron Y, Lee, Adnan, Tufail
Publikováno v:
Investigative Opthalmology & Visual Science. 63:28
To investigate macular curvature, including the evaluation of potential associations and the dome-shaped macular configuration, given the increasing myopia prevalence and expected associated macular malformations.The study included a total of 65,440
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88e417f3a340a7c00f7e8bf6f790bffe
https://doi.org/10.1167/iovs.63.9.28
https://doi.org/10.1167/iovs.63.9.28
Autor:
Abraham, Olvera-Barrios, Yuka, Kihara, Yue, Wu, Alasdair, N Warwick, Philipp L, Müller, Katie M, Williams, Alicja R, Rudnicka, Christopher G, Owen, Aaron Y, Lee, Catherine, Egan, Adnan, Tufail
Publikováno v:
Investigative Opthalmology & Visual Science. 63:26
To examine whether sociodemographic, and ocular factors relate to optical coherence tomography (OCT)-derived foveal curvature (FC) in healthy individuals.We developed a deep learning model to quantify OCT-derived FC from 63,939 participants (age rang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00bbdf7692d06d460b8a0c621a8c8062
https://doi.org/10.1167/iovs.63.8.26
https://doi.org/10.1167/iovs.63.8.26
Publikováno v:
JAMA Ophthalmol
IMPORTANCE: Recent studies have demonstrated the successful application of artificial intelligence (AI) for automated retinal disease diagnostics but have not addressed a fundamental challenge for deep learning systems: the current need for large, cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c8a307bc33523662f8e70dc7d4d9d58
https://pubmed.ncbi.nlm.nih.gov/32880609
https://pubmed.ncbi.nlm.nih.gov/32880609
Autor:
Christine A. Curcio, Cynthia Owsley, Marian Blazes, Ryan T. Yanagihara, Mark E. Clark, Yue Wu, Yuka Kihara, Theodore Spaide, Yelena Bagdasarova, Julia P. Owen, Cecilia S Lee, MiYoung Kwon, Aaron Y. Lee
Publikováno v:
Translational Vision Science & Technology
Purpose Delayed rod-mediated dark adaptation (RMDA) is a functional biomarker for incipient age-related macular degeneration (AMD). We used anatomically restricted spectral domain optical coherence tomography (SD-OCT) imaging data to localize de novo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::591da089c8f36b85ecc8fd9242190a7e
https://pubmed.ncbi.nlm.nih.gov/33344065
https://pubmed.ncbi.nlm.nih.gov/33344065
Autor:
Peter Charbel Issa, Catherine A Egan, Aaron Y. Lee, Yue Wu, Frank G. Holz, Sa Xiao, Cecilia S Lee, Simone Tzaridis, Yuka Kihara, Tjebo F. C. Heeren
Publikováno v:
JAMA Network Open
This cross-sectional study develops deep-learning algorithms to estimate retinal sensitivity from optical coherence tomographic scans in patients with macular telangiectasia type 2.
Key Points Question Can the probability of retinal sensitivity
Key Points Question Can the probability of retinal sensitivity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::372d7b408b92e89403e0d0d7316293ed
https://doi.org/10.1001/jamanetworkopen.2018.8029
https://doi.org/10.1001/jamanetworkopen.2018.8029
Publikováno v:
CVPR
We present a new algorithm for multi-region segmentation of 2D images with objects that may partially occlude each other. Our algorithm is based on the observation hat human performance on this task is based both on prior knowledge about plausible sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c93e473c6ec8e425415f413b7bc4387
http://arxiv.org/abs/1606.04590
http://arxiv.org/abs/1606.04590
Autor:
Fumiko Fukunari, Tomoko Shiraishi, Toyohiro Kagawa, Yuka Kihara, Kentaro Nogami, Kenji Yuasa, Miwako Yamasaki, Ryousuke Zeze, Takahiro Ichihara
Publikováno v:
Oral Radiology. 22:47-51
To develop a simple image viewer that utilizes image files in general-purpose formats that are written from the original 3DX volume data. We used FLASH MX2004 for Macintosh to develop a simple image viewer. In developing the software for the simple i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::269584df436575ffc278fc02529d8bbc
https://doi.org/10.1007/s11282-006-0046-7
https://doi.org/10.1007/s11282-006-0046-7