| Review of image processing techniques for automatic detection of eye diseases KMMR R Manjula Sri International Conference on Sensing Technology, ICST2012, 1-4, 2012 | 24* | 2012 |
| Image processing for identifying different stages of diabetic retinopathy RM Sri, MR Reddy, KMM Rao International Journal on Recent Trends in Engineering & Technology 11 (1), 83, 2014 | 9 | 2014 |
| Novel image processing techniques to detect lesions using lab view RM Sri, KMM Rao 2011 Annual IEEE India Conference, 1-4, 2011 | 9 | 2011 |
| Review of image processing and tele-ophthalmology research projects world over R ManjulaSri Technology spectrum, 2010 | 8 | 2010 |
| LabVIEW based assessment of CDR for the detection of Glaucoma R ManjulaSri 2013 IEEE International Conference ON Emerging Trends in Computing …, 2013 | 5 | 2013 |
| A Review: Prediction of Multiple Adverse Health Conditions from Retinal Images LK Pampana, MS Rayudu 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 1-6, 2020 | 3 | 2020 |
| Breast masses classification using contour shape descriptors based on Beam Angle Statistics S Paramkusham, J Thotempuddi, MS Rayudu 2021 Third International Conference on Inventive Research in Computing …, 2021 | 2 | 2021 |
| Detection and Classification of multi scale retinal junctions LK Pampana, MS Rayudu International Journal of Computing Science and Communication Technologies …, 2021 | 2 | 2021 |
| Exudates and Colour Analysis for the Detection of Diabetic Macular Edema RM Sri, J Jyothirmai, H Renuka 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), 1-4, 2019 | 2 | 2019 |
| Early detection of diabetic retinopathy from retinal fundus images using eigen value analysis RM Sri, V Rajesh 2015 International Conference on Control, Instrumentation, Communication and …, 2015 | 2 | 2015 |
| Applications of Image Processing Techniques for Automatic Detection of Eye Diseases RM Sri, KMM Rao ICBSII-2013, 8, 2013 | 2* | 2013 |
| Automatic Detection of Age-related Macular Degeneration from Retinal Images RM Sri, C madhubabu, KMM Rao TECHNIA – International Journal of Computing Science and Communication …, 2013 | 2 | 2013 |
| Detection and classification of multi-scale retinal junctions using region-based CNN LK Pampana, MS Rayudu Signal, Image and Video Processing 16, 265-272, 2022 | 1 | 2022 |
| Prediction of Severity of Non Proliferated Diabetic Retinopathy Using Machine Learning Techniques MS Rayudu, S Pendam, S Dasari Journal of Computational and Theoretical Nanoscience 17 (9-10), 4219-4222, 2020 | 1 | 2020 |
| Multi-Class Classification of Retinal Abnormality using Machine Learning Algorithms. LK Pampana, MS Rayudu International Journal of Performability Engineering 18 (11), 2022 | | 2022 |
| Domain-specific trained model to auto grade AV Nicking severity level LK Pampana, MS Rayudu Biomedical Signal Processing and Control 76, 103642, 2022 | | 2022 |
| Retinal Vascular Network Segmentation using a concatenated CNN Architecture LK Pampana, MS Rayudu 2021 International Conference on Smart Generation Computing, Communication …, 2021 | | 2021 |
| TensorFlow Object Detection Model for Retinal Vascular Junctions Extraction M Shoaib, GN Boini, S Kocherla, YSK Rebba, LK Pampana, MS Rayudu 2021 2nd Global Conference for Advancement in Technology (GCAT), 1-6, 2021 | | 2021 |
| Deep Learning Methods for the Assessment of Vascular Diameters for Diabetic Retinopathy Screening YSK Rebba, SR Gujja, ST Siripalli, M Shoaib, LK Pampana, MS Rayudu 2021 2nd Global Conference for Advancement in Technology (GCAT), 1-5, 2021 | | 2021 |
| Image Processing for the Identification of Persistent Stress from Retina DT Gubbala, K Thottempudi, LK Pampana, MS Rayudu Proceedings of the International Conference on Innovative Computing …, 2021 | | 2021 |
