Epidemic landscape and forecasting of SARS-CoV-2 in India AL Rajendrakumar, ATN Nair, C Nangia, PK Chourasia, MK Chourasia, ... Journal of epidemiology and global health 11 (1), 55-59, 2021 | 36 | 2021 |
Prediction of major adverse cardiovascular events from retinal, clinical, and genomic data in individuals with type 2 diabetes: a population cohort study IR Mordi, E Trucco, MG Syed, T MacGillivray, A Nar, Y Huang, G George, ... Diabetes Care 45 (3), 710-716, 2022 | 18 | 2022 |
Hyperspectral sensing based analysis for determining milk adulteration S Kimbahune, SM Ghouse, BS Mithun, S Shinde, AK Jha Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards …, 2016 | 11 | 2016 |
Are cardiovascular risk scores from genome and retinal image complementary? A deep learning investigation in a diabetic cohort MG Syed, A Doney, G George, I Mordi, E Trucco International Workshop on Ophthalmic Medical Image Analysis, 109-118, 2021 | 2 | 2021 |
Automatic quantification of escherichia coli bacteria to determine the potability of water SM Ghouse, S Kimbahune, SK Kopparapu, K Padmanabhan 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 1-4, 2016 | 2 | 2016 |
Investigating the retina as a source of biomarkers for systemic conditions using artificial intelligence MG Syed University of Dundee, 2023 | | 2023 |
Devices and methods for non-invasive monitoring of substance in a body SM Kimbahune, SK Kopparapu, SM Ghouse, PH Doke US Patent 10,813,571, 2020 | | 2020 |
System and method for quantification of Escherichia coli bacteria in water SM Kimbahune, SK Kopparapu, SM Ghouse, K Padmanabhan US Patent 9,953,415, 2018 | | 2018 |
Prediction of Major Adverse Cardiovascular Events from Retinal, Clinical and Genomic Data in Individuals with Type 2 Diabetes IR Mordi, E Trucco, MG Syed, T MacGillivray, A Nar, Y Huang | | |