|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
|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
|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
|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, 2020
|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
|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
|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
|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
|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, 2009
|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
|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
|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
|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
|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
|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
|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
|Plasma homocysteine and total thiol content in patients with exudative age-related macular degeneration|
K Coral, R Raman, S Rathi, M Rajesh, KN Sulochana, N Angayarkanni, ...
Eye 20 (2), 203-207, 2006
|Albuminuria and diabetic retinopathy in type 2 diabetes mellitus sankara nethralaya diabetic retinopathy epidemiology and molecular genetic study (SN-DREAMS, report 12)|
PK Rani, R Raman, A Gupta, SS Pal, V Kulothungan, T Sharma
Diabetology & metabolic syndrome 3 (1), 1-8, 2011
|Influence of serum lipids on clinically significant versus nonclinically significant macular edema: SN-DREAMS Report number 13|
R Raman, PK Rani, V Kulothungan, SR Rachepalle, ...
Ophthalmology 117 (4), 766-772, 2010
|Anemia and diabetic retinopathy in type 2 diabetes mellitus|
PK Ranil, R Raman, SR Rachepalli, SS Pal, V Kulothungan, ...
J Assoc Physicians India 58 (58), 91-94, 2010