| An automated computer aided diagnosis of skin lesions detection and classification for dermoscopy images R Suganya 2016 International Conference on Recent Trends in Information Technology …, 2016 | 74 | 2016 |
| AIM 2020: Scene relighting and illumination estimation challenge M El Helou, R Zhou, S Süsstrunk, R Timofte, M Afifi, MS Brown, K Xu, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 45 | 2020 |
| Content based image retrieval of ultrasound liver diseases based on hybrid approach R Suganya, S Rajaram American Journal of Applied Sciences 9 (6), 938, 2012 | 35 | 2012 |
| SSBC 2020: Sclera segmentation benchmarking competition in the mobile environment M Vitek, A Das, Y Pourcenoux, A Missler, C Paumier, S Das, I De Ghosh, ... 2020 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2020 | 34 | 2020 |
| Studies on anti-diarrhoeal activity of synbiotic plums juice T Sheela, RS Suganya International Journal of Scientific and Research Publications 2 (2), 1-5, 2012 | 30 | 2012 |
| Intensity based image registration by maximization of mutual information R Suganya, K Priyadharsini, S Rajaram International Journal of Computer Applications 1 (20), 1-5, 2010 | 26 | 2010 |
| A novel feature selection method for predicting heart diseases with data mining techniques R Suganya, S Rajaram, AS Abdullah, V Rajendran Asian Journal of Information Technology 15 (8), 1314-1321, 2016 | 21 | 2016 |
| Feature extraction and classification of ultrasound liver images using haralick texture-primitive features: Application of SVM classifier R Suganya, S Rajaram 2013 international conference on recent trends in information technology …, 2013 | 21 | 2013 |
| Big data in medical image processing R Suganya, S Rajaram, AS Abdullah CRC Press, 2018 | 19 | 2018 |
| Automatic detection of leaf disease using CNN algorithm S Nandhini, R Suganya, K Nandhana, S Varsha, S Deivalakshmi, ... Machine Learning for Predictive Analysis: Proceedings of ICTIS 2020, 237-244, 2021 | 17 | 2021 |
| A comparative assessment of deep neural network models for detecting obstacles in the real time aerial railway track images RS Rampriya, R Suganya, S Nathan, PS Perumal Applied Artificial Intelligence 36 (1), 2018184, 2022 | 15 | 2022 |
| Decision support system for type II diabetes and its risk factor prediction using bee-based harmony search and decision tree algorithm S Selvakumar, AS Abdullah, R Suganya International Journal of Biomedical Engineering and Technology 29 (1), 46-67, 2019 | 12 | 2019 |
| Classification of liver diseases from ultrasound images using a hybrid kohonen SOM and LPND speckle reduction method R Suganya, S Rajaram 2012 IEEE International Conference on Signal Processing, Computing and …, 2012 | 12 | 2012 |
| COVID-19 forecasting using multivariate linear regression R Suganya, R Arunadevi, SM Buhari | 9 | 2020 |
| Perishable inventory system with n-policy, map arrivals, and impatient customers R Suganya, L Nkenyereye, N Anbazhagan, S Amutha, M Kameswari, ... Mathematics 9 (13), 1514, 2021 | 8 | 2021 |
| Studies on synbiotic barley grain extract against some human pathogens T Sheela, RS Suganya Int Res J Pharm 3, 126-129, 2012 | 8 | 2012 |
| Algorithms and challenges in big data clustering R Suganya, M Pavithra, P Nandhini International Journal of Engineering and Techniques 4 (4), 40-47, 2018 | 7 | 2018 |
| Queueing-inventory system for two commodities with optional demands of customers and MAP arrivals N Anbazhagan, GP Joshi, R Suganya, S Amutha, V Vinitha, B Shrestha Mathematics 10 (11), 1801, 2022 | 6 | 2022 |
| An efficient categorization of liver cirrhosis using convolution neural networks for health informatics R Suganya, S Rajaram Cluster Computing 22 (Suppl 1), 47-56, 2019 | 6 | 2019 |
| Mutual information and genetic algorithm based registration of MRI brain images R Suganya, S Rajaram Canadian Journal on Biomedical Engineering and Technology 2 (2), 14-17, 2011 | 6 | 2011 |
RAJARAM S 0000-0001-8015-5878Professor,Thiagarajar College of EngineeringVerified email at tce.edu
