| Review of image processing techniques for automatic detection of eye diseases KMMR R Manjula Sri International Conference on Sensing Technology, ICST2012, 1-4, 2012 | 30* | 2012 |
| Novel image processing techniques to detect lesions using lab view RM Sri, KMM Rao 2011 Annual IEEE India Conference, 1-4, 2011 | 11 | 2011 |
| 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 | 10 | 2014 |
| Review of image processing and tele-ophthalmology research projects world over R ManjulaSri Technology spectrum, 2010 | 8 | 2010 |
| IoT based solar panel fault and maintenance detection using decision tree with light gradient boosting S Sivagamasundari, MS Rayudu Measurement: Sensors 27, 100726, 2023 | 7 | 2023 |
| 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 | 6 | 2020 |
| Analysis of Retinal Blood Vessel Segmentation in different types of Diabetic Retinopathy DS Manjulasri Rayudu,P.sampurna lakshmi International Journal of Engineering and Advanced Technology (IJEAT) 8 (2S2 …, 2019 | 5* | 2019 |
| LabVIEW based assessment of CDR for the detection of Glaucoma R ManjulaSri 2013 IEEE International Conference ON Emerging Trends in Computing …, 2013 | 5 | 2013 |
| An efficient machine learning approach for classification of diabetic retinopathy stages S Dasari, B Poonguzhali, MS Rayudu Indonesian Journal of Electrical Engineering and Computer Science 30 (1), 81-88, 2023 | 3 | 2023 |
| 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 | 3 | 2021 |
| 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 | 2 | 2022 |
| Detection and Classification of multi scale retinal junctions LK Pampana, MS Rayudu International Journal of Computing Science and Communication Technologies …, 2021 | 2 | 2021 |
| 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 | 2 | 2020 |
| 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 |
| Quantification of retinal artery-vein ratio for vascular disease diagnosis using spatial U-Net. MS Pampana, L.K. , Rayudu Journal of Electrical Engineering and Computer Science 27 (3), 1404–1411, 0 | 2* | |
| Domain-specific trained model to auto grade AV Nicking severity level LK Pampana, MS Rayudu Biomedical Signal Processing and Control 76, 103642, 2022 | 1 | 2022 |
| An Automatic Rice Grain Classification for Agricultural Products Marketing MS Rayudu, LK Pampana, S Myneni, S Kalavari, RR Madapa International e-Conference on Advances in Computer Engineering and …, 2023 | | 2023 |
