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Rajiv Raman
Rajiv Raman
Senior Consultant, Shri Bhagwan Mahavir Vitreoretinal services
Verified email at snmail.org - Homepage
Title
Cited by
Cited by
Year
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
V Gulshan, L Peng, M Coram, MC Stumpe, D Wu, A Narayanaswamy, ...
jama 316 (22), 2402-2410, 2016
72472016
Artificial intelligence and deep learning in ophthalmology
DSW Ting, LR Pasquale, L Peng, JP Campbell, AY Lee, R Raman, ...
British Journal of Ophthalmology 103 (2), 167-175, 2019
11412019
Underspecification presents challenges for credibility in modern machine learning
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
Journal of Machine Learning Research 23 (226), 1-61, 2022
7482022
Prevalence of diabetic retinopathy in India: Sankara Nethralaya diabetic retinopathy epidemiology and molecular genetics study report 2
R Raman, PK Rani, SR Rachepalle, P Gnanamoorthy, S Uthra, ...
Ophthalmology 116 (2), 311-318, 2009
4622009
Knowledge of diabetes and diabetic retinopathy among rural populations in India, and the influence of knowledge of diabetic retinopathy on attitude and practice
PK Rani, R Raman, S Subramani, G Perumal, G Kumaramanickavel, ...
Rural and remote health 8 (3), 1-9, 2008
2752008
Performance of a deep-learning algorithm vs manual grading for detecting diabetic retinopathy in India
V Gulshan, RP Rajan, K Widner, D Wu, P Wubbels, T Rhodes, ...
JAMA ophthalmology 137 (9), 987-993, 2019
2382019
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
P Ruamviboonsuk, J Krause, P Chotcomwongse, R Sayres, R Raman, ...
NPJ digital medicine 2 (1), 25, 2019
223*2019
Is neuronal dysfunction an early sign of diabetic retinopathy? Microperimetry and spectral domain optical coherence tomography (SD-OCT) study in individuals with diabetes, but …
A Verma, PK Rani, R Raman, SS Pal, G Laxmi, M Gupta, C Sahu, ...
Eye 23 (9), 1824-1830, 2009
2052009
Prevalence and risk factors for diabetic retinopathy in rural India. Sankara Nethralaya Diabetic Retinopathy Epidemiology and Molecular Genetic Study III (SN-DREAMS III …
R Raman, S Ganesan, SS Pal, V Kulothungan, T Sharma
BMJ Open Diabetes Research and Care 2 (1), e000005, 2014
2022014
Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy
S Das, K Kharbanda, M Suchetha, R Raman, E Dhas
Biomedical Signal Processing and Control 68, 102600, 2021
1732021
Risk factors for diabetic retinopathy in self-reported rural population with diabetes
PK Rani, R Raman, A Chandrakantan, SS Pal, GM Perumal, T Sharma
Journal of postgraduate medicine 55 (2), 92-96, 2009
1642009
Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy
R Raman, S Srinivasan, S Virmani, S Sivaprasad, C Rao, R Rajalakshmi
Eye 33 (1), 97-109, 2019
1542019
Prevalence and risk factors for diabetic microvascular complications in newly diagnosed type II diabetes mellitus. Sankara Nethralaya Diabetic Retinopathy Epidemiology and …
R Raman, A Gupta, S Krishna, V Kulothungan, T Sharma
Journal of Diabetes and its Complications 26 (2), 123-128, 2012
1532012
Changes in the corneal endothelial cell density and morphology in patients with type 2 diabetes mellitus: a population-based study, Sankara Nethralaya Diabetic Retinopathy and …
RR Sudhir, R Raman, T Sharma
Cornea 31 (10), 1119-1122, 2012
1512012
Does neuronal damage precede vascular damage in subjects with type 2 diabetes mellitus and having no clinical diabetic retinopathy?
A Verma, R Raman, K Vaitheeswaran, SS Pal, G Laxmi, M Gupta, ...
Ophthalmic research 47 (4), 202-207, 2012
1342012
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study
P Ruamviboonsuk, R Tiwari, R Sayres, V Nganthavee, K Hemarat, ...
The Lancet Digital Health 4 (4), e235-e244, 2022
1262022
Sankara Nethralaya—Diabetic retinopathy epidemiology and molecular genetic study (SN—DREAMS 1): Study design and research methodology
S Agarwal, R Raman, PG Paul, PK Rani, S Uthra, R Gayathree, ...
Ophthalmic epidemiology 12 (2), 143-153, 2005
1242005
The prevalence and risk factors for cataract in rural and urban India
S Singh, S Pardhan, V Kulothungan, G Swaminathan, JS Ravichandran, ...
Indian journal of ophthalmology 67 (4), 477-483, 2019
1142019
Association of obesity with diabetic retinopathy: Sankara Nethralaya Diabetic Retinopathy Epidemiology and Molecular Genetics Study (SN-DREAMS Report no. 8)
R Raman, PK Rani, P Gnanamoorthy, RR Sudhir, G Kumaramanikavel, ...
Acta diabetologica 47, 209-215, 2010
1142010
Diabetic retinopathy: An epidemic at home and around the world
R Raman, L Gella, S Srinivasan, T Sharma
Indian journal of ophthalmology 64 (1), 69-75, 2016
1082016
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