Rajalakshmi, Ramachandran

Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence

Rajalakshmi, R., Subashini, R., Anjana, R. M., & Mohan, V. (2018) · Eye

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 462

Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening

Rajalakshmi, R., Arulmalar, S., Usha, M., Prathiba, V., Kareemuddin, K. S., Anjana, R. M., & Mohan, V. (2015) · PLOS ONE

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 173

Prevalence of diabetic retinopathy in India stratified by known and undiagnosed diabetes, urban–rural locations, and socioeconomic indices: results from the SMART India population-based cross-sectional screening study

Raman, R., Vasconcelos, J. C., Rajalakshmi, R., Prevost, A. T., Ramasamy, K., Mohan, V., Mohan, D., Rani, P. K., Conroy, D., Das, T., et al. (2022) · The Lancet Global Health

Retinal Diseases and TreatmentsRetinal Imaging and Analysis

Cited by 106

Using deep learning to detect diabetic retinopathy on handheld non-mydriatic retinal images acquired by field workers in community settings

Nunez do Rio, J. M., Nderitu, P., Raman, R., Rajalakshmi, R., Kim, R., Rani, P. K., Sivaprasad, S., Bergeles, C., for the SMART India Study Group, Raman, R., et al. (2023) · Scientific Reports

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 31