| A lightweight CNN for Diabetic Retinopathy classification from fundus images S Gayathri, VP Gopi, P Palanisamy Biomedical Signal Processing and Control 62, 102115, 2020 | 178 | 2020 |
| Octnet: A lightweight cnn for retinal disease classification from optical coherence tomography images AP Sunija, S Kar, S Gayathri, VP Gopi, P Palanisamy Computer methods and programs in biomedicine 200, 105877, 2021 | 101 | 2021 |
| Automated binary and multiclass classification of diabetic retinopathy using haralick and multiresolution features S Gayathri, AK Krishna, VP Gopi, P Palanisamy IEEE Access 8, 57497-57504, 2020 | 78 | 2020 |
| Diabetic retinopathy classification based on multipath CNN and machine learning classifiers S Gayathri, VP Gopi, P Palanisamy Physical and engineering sciences in medicine 44 (3), 639-653, 2021 | 64 | 2021 |
| Automated classification of diabetic retinopathy through reliable feature selection S Gayathri, VP Gopi, P Palanisamy Physical and Engineering Sciences in Medicine 43 (3), 927-945, 2020 | 42 | 2020 |
| A novel approach in channel independent speaker verification system for Malayalam database using GMM-SVM frame work S Gayathri, AB KK 2015 International Conference on Advances in Computing, Communications and …, 2015 | | 2015 |
