Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Sanjeeb Bhandari"'
Autor:
Florian Lukas Schipplick, Rajesh Sharma, Timo Schurr, Tanja Kuhnert, Sanjeeb Bhandari, Buddha Basnyat, Raimund Lechner, Michiel van Veelen, Marika Falla, Iztok Tomazin, Ken Zafren, Giacomo Strapazzon, Barbara Sperner-Unterweger, Hermann Brugger, Katharina Hüfner
Publikováno v:
Current Issues in Sport Science, Vol 9, Iss 4 (2024)
The Lake Louise Score (LLS) is a common tool for diagnosing acute mountain sickness (AMS) after a recent gain in altitude. Required symptoms (headache, dizziness, fatigue or gastrointestinal symptoms) are unspecific, subjective and not detectable by
Externí odkaz:
https://doaj.org/article/129fd259e9c34322980f5c6ac7174dc5
Autor:
Joe Mellor, PhD, Anita Jeyam, PhD, Joline W.J. Beulens, PhD, Sanjeeb Bhandari, MD, Geoffrey Broadhead, MD, Emily Chew, MD, Ward Fickweiler, MD, Amber van der Heijden, PhD, Daniel Gordin, MD, DMsc, Rafael Simó, MD, PhD, Janet Snell-Bergeon, PhD, Anniina Tynjälä, PhD, Helen Colhoun, MD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 4, Pp 100494- (2024)
Topic: To review clinical evidence on systemic factors that might be relevant to update diabetic retinal disease (DRD) staging systems, including prediction of DRD onset, progression, and response to treatment. Clinical relevance: Systemic factors ma
Externí odkaz:
https://doaj.org/article/5f25a2a46f374aea8af7e30e9ee6fb45
Autor:
Amr Elsawy, Tiarnan D. L. Keenan, Qingyu Chen, Alisa T. Thavikulwat, Sanjeeb Bhandari, Ten Cheer Quek, Jocelyn Hui Lin Goh, Yih-Chung Tham, Ching-Yu Cheng, Emily Y. Chew, Zhiyong Lu
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-11 (2023)
Abstract Background Cataract diagnosis typically requires in-person evaluation by an ophthalmologist. However, color fundus photography (CFP) is widely performed outside ophthalmology clinics, which could be exploited to increase the accessibility of
Externí odkaz:
https://doaj.org/article/dd9c596affd749548d95bda8a94d5b55
Autor:
Amr Elsawy, PhD, Tiarnan D.L. Keenan, BM BCh, PhD, Qingyu Chen, PhD, Xioashuang Shi, PhD, Alisa T. Thavikulwat, MD, Sanjeeb Bhandari, MD, PhD, Emily Y. Chew, MD, Zhiyong Lu, PhD
Publikováno v:
Ophthalmology Science, Vol 3, Iss 4, Pp 100311- (2023)
Objective: To propose Deep-GA-Net, a 3-dimensional (3D) deep learning network with 3D attention layer, for the detection of geographic atrophy (GA) on spectral domain OCT (SD-OCT) scans, explain its decision making, and compare it with existing metho
Externí odkaz:
https://doaj.org/article/167de0a95a804f92a40cf81456253ebe
Autor:
Sanjeeb Bhandari, Manish Poudel, Indira Paudyal, Pratibha L. Joshi, Chunu Shrestha, Govinda Paudyal, Eli Pradhan
Publikováno v:
BMC Ophthalmology, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background This study evaluated the treatment outcomes of retinal vein occlusion (RVO) in a routine clinical practice in Nepal. Methods This was a retrospective analysis of observational data of patients with RVO who attended the retina clin
Externí odkaz:
https://doaj.org/article/16c00d7ab9f24e4dbc1051fa635f2bc9
Autor:
Xiaoshuang Shi, PhD, Tiarnan D.L. Keenan, MD, Qingyu Chen, PhD, Tharindu De Silva, PhD, Alisa T. Thavikulwat, MD, Geoffrey Broadhead, MD, Sanjeeb Bhandari, MD, Catherine Cukras, MD, Emily Y. Chew, MD, Zhiyong Lu, PhD
Publikováno v:
Ophthalmology Science, Vol 1, Iss 3, Pp 100038- (2021)
Purpose: Manually identifying geographic atrophy (GA) presence and location on OCT volume scans can be challenging and time consuming. This study developed a deep learning model simultaneously (1) to perform automated detection of GA presence or abse
Externí odkaz:
https://doaj.org/article/f346cce178b9419ca639091b1584bd60
Autor:
Adrian Hunt, Vuong Nguyen, Sanjeeb Bhandari, Theodorus Ponsioen, Ian L. McAllister, Jennifer Arnold, Stephanie Young, Pierre-Henry Gabrielle, Hemal Mehta, Louise O’ Toole, Socorro Alforja, Javier Zarranz-Ventura, Daniel Barthelmes, Mark Gillies
Publikováno v:
Ophthalmology Retina. 7:338-345
Autor:
Tiarnan D.L. Keenan, Qingyu Chen, Elvira Agrón, Yih-Chung Tham, Jocelyn Hui Lin Goh, Xiaofeng Lei, Yi Pin Ng, Yong Liu, Xinxing Xu, Ching-Yu Cheng, Mukharram M. Bikbov, Jost B. Jonas, Sanjeeb Bhandari, Geoffrey K. Broadhead, Marcus H. Colyer, Jonathan Corsini, Chantal Cousineau-Krieger, William Gensheimer, David Grasic, Tania Lamba, M. Teresa Magone, Michele Maiberger, Arnold Oshinsky, Boonkit Purt, Soo Y. Shin, Alisa T. Thavikulwat, Zhiyong Lu, Emily Y. Chew, Priscilla Ajilore, Alex Akman, Nadim S. Azar, William S. Azar, Bryan Chan, Victor Cox, Amisha D. Dave, Rachna Dhanjal, Mary Donovan, Maureen Farrell, Francisca Finkel, Timothy Goblirsch, Wesley Ha, Christine Hill, Aman Kumar, Kristen Kent, Arielle Lee, Pujan Patel, David Peprah, Emma Piliponis, Evan Selzer, Benjamin Swaby, Stephen Tenney, Alexander Zeleny
Publikováno v:
Ophthalmology
PURPOSE: To develop deep learning models to perform automated diagnosis and quantitative classification of age-related cataract from anterior segment photographs. DESIGN: DeepLensNet was trained by applying deep learning models to the Age-Related Eye
Publikováno v:
Ophthalmology. 129:414-420
Purpose To evaluate the risk of developing late age-related macular degeneration (AMD) following incident cataract surgery. Design A prospective cohort study within a randomized controlled clinical trial of oral supplementation for the treatment of A
Presentation of High Altitude Pulmonary Edema (HAPE) in accordance with its usual natural history is a diagnostic clue. In resource-limited settings, distinguishing HAPE from other respiratory illnesses is challenging; especially when the presentatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee39c2107da366e714940b0d4af0fa35
https://doi.org/10.22541/au.167335749.99976421/v1
https://doi.org/10.22541/au.167335749.99976421/v1