Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Roshan A Welikala"'
Autor:
Xiaofan Jiang, Pirro G Hysi, Anthony P Khawaja, Omar A Mahroo, Zihe Xu, Christopher J Hammond, Paul J Foster, Roshan A Welikala, Sarah A Barman, Peter H Whincup, Alicja R Rudnicka, Christopher G Owen, David P Strachan, UK Biobank Eye and Vision Consortium
Publikováno v:
PLoS Genetics, Vol 19, Iss 2, p e1010583 (2023)
The eye is the window through which light is transmitted and visual sensory signalling originates. It is also a window through which elements of the cardiovascular and nervous systems can be directly inspected, using ophthalmoscopy or retinal imaging
Externí odkaz:
https://doaj.org/article/150ba4a65ad84908a2b6b5575876bebf
Autor:
Josefine Freiberg, Roshan A Welikala, Jens Rovelt, Christopher G Owen, Alicja R Rudnicka, Miriam Kolko, Sarah A Barman, FOREVER consortium
Publikováno v:
PLoS ONE, Vol 18, Iss 8, p e0290278 (2023)
PurposeTo evaluate the test performance of the QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) software in detecting retinal features from retinal images captured by health care professionals in a Danish high street optician chain,
Externí odkaz:
https://doaj.org/article/92965320609544f0adff8ff120b8ca8d
Autor:
Robyn J, Tapp, Christopher G, Owen, Sarah A, Barman, David P, Strachan, Roshan A, Welikala, Paul J, Foster, Peter H, Whincup, Alicja R, Rudnicka
Publikováno v:
Diabetologia. 65:1652-1663
Aims/hypothesis The aim of the study was to examine the association of retinal vessel morphometry with BP, body composition and biochemistry, and to determine whether these associations differ by diabetes status. Methods The UK Biobank ocular assessm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0421dce0ac24fb41bf59f32ef4f8964b
https://doi.org/10.1007/s00125-022-05745-y
https://doi.org/10.1007/s00125-022-05745-y
Autor:
Alicja R Rudnicka, Roshan A Welikala, Sarah A Barman, Paul J Foster, Robert Luben, Shabina A Hayat, Kay-Tee Khaw, Peter H Whincup, David P Strachan, Christopher G Owen
AimsWe examine whether inclusion of Artificial Intelligence (AI)-enabled retinal vasculometry (RV) improves existing risk algorithms for incident stroke, myocardial infarction (MI) and circulatory mortality.MethodsAI-enabled retinal vessel image anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f43f83f19493baef9c3215d0fa2f7b09
https://doi.org/10.1101/2022.05.16.22275133
https://doi.org/10.1101/2022.05.16.22275133
Autor:
Senthilmani Rajendran, Jian Han Lim, Kohgulakuhan Yogalingam, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Roshan Alex Welikala, Ying Zhi Lim, Paolo Remagnino, John Gibson, Wanninayake Mudiyanselage Tilakaratne, Chee Sun Liew, Yi‐Hsin Yang, Sarah Ann Barman, Chee Seng Chan, Sok Ching Cheong
Publikováno v:
Oral Diseases.
To describe the development of a platform for image collection and annotation that resulted in a multi-sourced international image dataset of oral lesions to facilitate the development of automated lesion classification algorithms.We developed a web-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153cf73dd94cc813e5a735aeeeea31df
https://doi.org/10.1111/odi.14206
https://doi.org/10.1111/odi.14206
Autor:
Samaneh Abbasi-Sureshjani, Bashir Al-Diri, Stefanos Apostolopoulos, Antonis A. Argyros, Lucia Ballerini, Sarah A. Barman, Erik J. Bekkers, Hrvoje Bogunović, Adrian Bradu, Catey Bunce, Philip I. Burgess, Philippe Burlina, Francesco Calivá, Aurélio Campilho, Guillem Carles, Jun Cheng, Li Cheng, Carol Yim-lui Cheung, Piotr Chudzik, Carlos Ciller, Adam Cohen, Pedro Costa, Gabriela Czanner, Behdad Dashtbozorg, Alexander Doney, Huazhu Fu, Adrian Galdran, Jakob Grauslund, Zaiwang Gu, Pedro Guimarães, Maged Habib, Andrew R. Harvey, Carlos Hernandez-Matas, Stephen Hogg, Wynne Hsu, Zhihong Jewel Hu, Fan Huang, Yan Huang, Emily R. Jefferson, Ryo Kawasaki, Le Van La, Mong Li Lee, Huiqi Li, Xing Li, Zhengguo Li, Gilbert Lim, Jiang Liu, Xuan Liu, Xingzheng Lyu, Tom MacGillivray, Sarah McGrory, Andrew McNeil, Muthu Rama Krishnan Mookiah, Giovanni Ometto, Christopher G. Owen, Adrian Podoleanu, Alicja R. Rudnicka, Alfredo Ruggeri, Srinivas Reddy Sadda, Ursula Schmidt-Erfurth, Raphael Sznitman, Bart M. ter Haar Romeny, Daniel Shu Wei Ting, Emanuele Trucco, Wolf-Dieter Vogl, Sebastian M. Waldstein, Lei Wang, Roshan A. Welikala, Jeffrey Wigdahl, Bryan M. Williams, Sebastian Wolf, Damon Wing Kee Wong, Posey Po-yin Wong, Tien Yin Wong, Yanwu Xu, Dalu Yang, Yehui Yang, Xenophon Zabulis, Sandro De Zanet, Jiong Zhang, He Zhao, Yalin Zheng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1f3bcdc37c1626981d676f85334eac9
https://doi.org/10.1016/b978-0-08-102816-2.09990-1
https://doi.org/10.1016/b978-0-08-102816-2.09990-1
Autor:
Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman
Publikováno v:
IEEE Access, Vol 8, Pp 132677-132693 (2020)
Oral cancer is a major global health issue accounting for 177,384 deaths in 2018 and it is most prevalent in low- and middle-income countries. Enabling automation in the identification of potentially malignant and malignant lesions in the oral cavity
Externí odkaz:
https://doaj.org/article/eee5c69116084eb09814003503c3d943