| Automatic Detection of Anatomical Structures in Digital Fundus Retinal Images. AV Sagar, S Balasubramanian, V Chandrasekaran MVA, 483-486, 2007 | 80 | 2007 |
| Integrated confusion-diffusion mechanisms for chaos based image encryption SC Koduru, V Chandrasekaran 2008 IEEE 8th International Conference on Computer and Information …, 2008 | 53 | 2008 |
| A novel integrated approach using dynamic thresholding and edge detection (idted) for automatic detection of exudates in digital fundus retinal images AV Sagar, S Balasubramaniam, V Chandrasekaran 2007 International Conference on Computing: Theory and Applications (ICCTA …, 2007 | 49 | 2007 |
| Isogeny-based quantum-resistant undeniable blind signature scheme MS Srinath, V Chandrasekaran Cryptology ePrint Archive, 2016 | 37 | 2016 |
| A novel image encryption scheme using Lorenz attractor GM Kumar, V Chandrasekaran 2009 4th IEEE Conference on industrial electronics and applications, 3662-3666, 2009 | 31 | 2009 |
| Range image segmentation by dynamic neural network architecture V Chandrasekaran, M Palaniswami, TM Caelli Pattern Recognition 29 (2), 315-329, 1996 | 28 | 1996 |
| Exemplar-based color image inpainting: a fractional gradient function approach A Sai Hareesh, V Chandrasekaran Pattern Analysis and Applications 17, 389-399, 2014 | 23 | 2014 |
| A robust hybrid digital watermarking technique against a powerful CNN-based adversarial attack SS Sharma, V Chandrasekaran Multimedia Tools and Applications 79 (43), 32769-32790, 2020 | 22 | 2020 |
| Fractional derivative filter for image contrast enhancement with order prediction S Khanna, V Chandrasekaran IET Digital Library, 2012 | 20 | 2012 |
| Spatio-temporal feature maps using gated neuronal architecture V Chandrasekaran, M Palaniswami, TM Caelli IEEE Transactions on Neural Networks 6 (5), 1119-1131, 1995 | 19 | 1995 |
| An integrated approach using automatic seed generation and hybrid classification for the detection of red lesions in digital fundus images S Pradhan, S Balasubramanian, V Chandrasekaran 2008 IEEE 8th International Conference on Computer and Information …, 2008 | 16 | 2008 |
| Topology constraint free fuzzy gated neural networks for pattern recognition V Chandrasekaran, ZQ Liu IEEE Transactions on Neural Networks 9 (3), 483-502, 1998 | 15 | 1998 |
| Red lesions detection in digital fundus images S Balasubramanian, S Pradhan, V Chandrasekaran 2008 15th IEEE International Conference on Image Processing, 2932-2935, 2008 | 14 | 2008 |
| Performance enhancement of optic disc boundary detection using active contours via improved homogenization of optic disc region GV Saradhi, S Balasubramanian, V Chandrasekaran 2006 International Conference on Information and Automation, 264-269, 2006 | 12 | 2006 |
| Pattern recognition by topology free spatio-temporal feature map V Chandrasekaran, M Palaniswami, TM Caelli 1995 IEEE International Conference on Systems, Man and Cybernetics …, 1995 | 11 | 1995 |
| An extended self-organizing map with gated neurons V Chandrasekaran, M Palaniswami, TM Caelli IEEE International Conference on Neural Networks, 1474-1479, 1993 | 11 | 1993 |
| Facial feature detection using compact vector-field canonical templates V Chandrasekaran, ZQ Liu 1997 IEEE International Conference on Systems, Man, and Cybernetics …, 1997 | 9 | 1997 |
| A fast and simple gradient function guided filling order prioritization for exemplar-based color image inpainting AS Hareesh, V Chandrasekaran 2010 IEEE International Conference on Image Processing, 409-412, 2010 | 8 | 2010 |
| Performance evaluation of spatio-temporal feature maps with gated neuronal architecture V Chandrasekaran, M Palaniswami, TM Caelli Proc. WCNN 93, 112-118, 1993 | 8 | 1993 |
| Temporal feature extraction by sparse decomposition of range images using gated neurons V Chandrasekaran, M Palaniswami, TM Caelli Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN …, 1994 | 7 | 1994 |
S. BalasubramanianAssociate Professor, SSSIHLVerified email at sssihl.edu.in