Approximate entropy-based epileptic EEG detection using artificial neural networks V Srinivasan, C Eswaran, N Sriraam IEEE Transactions on information Technology in Biomedicine 11 (3), 288-295, 2007 | 756 | 2007 |
Artificial neural network based epileptic detection using time-domain and frequency-domain features V Srinivasan, C Eswaran, N Sriraam Journal of Medical Systems 29, 647-660, 2005 | 539 | 2005 |
EEG based multi-class seizure type classification using convolutional neural network and transfer learning S Raghu, N Sriraam, Y Temel, SV Rao, PL Kubben Neural Networks 124, 202-212, 2020 | 320 | 2020 |
Entropies based detection of epileptic seizures with artificial neural network classifiers SP Kumar, N Sriraam, PG Benakop, BC Jinaga Expert Systems with Applications 37 (4), 3284-3291, 2010 | 218 | 2010 |
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms S Raghu, N Sriraam Expert Systems with Applications 113, 18-32, 2018 | 212 | 2018 |
K. Bhoopathy bagan and N. Sriraam,(2011)“Image encryption based on diffusion and multiple chaotic maps” GA Sathishkumar International Journal of Network Security & its Applications 3 (2), 181-194, 2011 | 122* | 2011 |
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier S Raghu, N Sriraam, Y Temel, SV Rao, AS Hegde, PL Kubben Computers in biology and medicine 110, 127-143, 2019 | 109 | 2019 |
A novel approach for classification of epileptic seizures using matrix determinant S Raghu, N Sriraam, AS Hegde, PL Kubben Expert Systems with Applications 127, 323-341, 2019 | 104 | 2019 |
The effect of temperature on the reliability of electronic components V Lakshminarayanan, N Sriraam 2014 IEEE international conference on electronics, computing and …, 2014 | 102 | 2014 |
Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures S Raghu, N Sriraam Expert Systems with Applications 89, 205-221, 2017 | 98 | 2017 |
Classification of focal and non focal epileptic seizures using multi-features and SVM classifier N Sriraam, S Raghu Journal of medical systems 41 (10), 160, 2017 | 92 | 2017 |
Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier S Raghu, N Sriraam, GP Kumar Cognitive neurodynamics 11, 51-66, 2017 | 87 | 2017 |
3-D medical image compression using 3-D wavelet coders N Sriraam, R Shyamsunder Digital signal processing 21 (1), 100-109, 2011 | 77 | 2011 |
A novel approach for real-time recognition of epileptic seizures using minimum variance modified fuzzy entropy S Raghu, N Sriraam, GP Kumar, AS Hegde IEEE Transactions on Biomedical Engineering 65 (11), 2612-2621, 2018 | 64 | 2018 |
Performance evaluation of neural network and linear predictors for near-lossless compression of EEG signals N Sriraam, C Eswaran IEEE Transactions on Information Technology in Biomedicine 12 (1), 87-93, 2008 | 63 | 2008 |
Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG S Raghu, N Sriraam, S Vasudeva Rao, AS Hegde, PL Kubben Neural Computing and Applications 32, 8965-8984, 2020 | 53 | 2020 |
Internet transmission of DICOM images with effective low bandwidth utilization B Ramakrishnan, N Sriraam Digital signal processing 16 (6), 825-831, 2006 | 52 | 2006 |
Correlation dimension based lossless compression of EEG signals N Sriraam Biomedical Signal Processing and Control 7 (4), 379-388, 2012 | 47 | 2012 |
An adaptive error modeling scheme for the lossless compression of EEG signals N Sriraam, C Eswaran IEEE Transactions on Information Technology in Biomedicine 12 (5), 587-594, 2008 | 45 | 2008 |
EEG based detection of alcoholics using spectral entropy with neural network classifiers P T.K, N Sriraam Biomedical Engineering (ICoBE), 2012 International Conference on, 89-93, 2012 | 42* | 2012 |