Generalized Regression Neural Network Predictors for Lossless EEG Signal Compression. - Natarajan Sriraam; Chikkannan Eswaran (CITA, 2003)

Medical image compression using 3-D Hartley transform. - R. Shyamsunder; Chikkannan Eswaran; Natarajan Sriraam (Comput. Biol. Medicine, 2006)

Internet transmission of DICOM images with effective low bandwidth utilization. - B. Ramakrishnan; Natarajan Sriraam (Digit. Signal Process., 2006)

Context Based Error Modeling for Lossless Compression of EEG Signals Using Neural Networks. - Natarajan Sriraam; Chikkannan Eswaran (J. Medical Syst., 2006)

A Pattern Matching Approach for the Estimation of Alignment Between Any Two Given DNA Sequences. - K. Basu; Natarajan Sriraam; R. J. A. Richard (J. Medical Syst., 2007)

Compression of Patient Monitoring Video Using Motion Segmentation Technique. - R. Shyamsunder; Chikkannan Eswaran; Natarajan Sriraam (J. Medical Syst., 2007)

Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks. - V. Srinivasan; Chikkannan Eswaran; Natarajan Sriraam (IEEE Trans. Inf. Technol. Biomed., 2007)

Performance Evaluation of Neural Network and Linear Predictors for Near-Lossless Compression of EEG Signals. - Natarajan Sriraam; Chikkannan Eswaran (IEEE Trans. Inf. Technol. Biomed., 2008)

An Adaptive Error Modeling Scheme for the Lossless Compression of EEG Signals. - Natarajan Sriraam; Chikkannan Eswaran (IEEE Trans. Inf. Technol. Biomed., 2008)

Performance Evaluation of Computer Aided Diagnostic Tool (CAD) for Detection of Ultrasonic Based Liver Disease. - Natarajan Sriraam; J. Roopa; M. Saranya; M. Dhanalakshmi (J. Medical Syst., 2009)

Entropies based detection of epileptic seizures with artificial neural network classifiers. - Pravin Kumar Subbaraj; Natarajan Sriraam; Prabhu G. Benakop; B. C. Jinaga (Expert Syst. Appl., 2010)

3-D medical image compression using 3-D wavelet coders. - Natarajan Sriraam; R. Shyamsunder (Digit. Signal Process., 2011)

Correlation dimension based lossless compression of EEG signals. - Natarajan Sriraam (Biomed. Signal Process. Control., 2012)

EEG based automated detection of auditory loss: A pilot study. - Natarajan Sriraam (Expert Syst. Appl., 2012)

Multi-feature Characterization of Epileptic Activity for Construction of an Automated Internet-based Annotated Classification. - R. Arvind; B. Karthik; Natarajan Sriraam (J. Medical Syst., 2012)

Spectral entropy feature subset selection using SEPCOR to detect alcoholic impact on gamma sub band visual event related potentials of multichannel electroencephalograms (EEG). - T. K. Padma Shri; Natarajan Sriraam (Appl. Soft Comput., 2016)

Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP's in multichannel EEGs. - T. K. Padma Shri; Natarajan Sriraam (Brain Informatics, 2017)

Comparison of t-test ranking with PCA and SEPCOR feature selection for wake and stage 1 sleep pattern recognition in multichannel electroencephalograms. - T. K. Padma Shri; Natarajan Sriraam (Biomed. Signal Process. Control., 2017)

Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures. - Shivarudhrappa Raghu; Natarajan Sriraam (Expert Syst. Appl., 2017)

Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier. - Natarajan Sriraam; Shivarudhrappa Raghu (J. Medical Syst., 2017)

Automated epileptic seizures detection using multi-features and multilayer perceptron neural network. - Natarajan Sriraam; Shivarudhrappa Raghu; Kadeeja Tamanna; Leena Narayan; Mehraj Khanum; Alangar Satyaranjandas Hegde; Anjani Bhushan Kumar (Brain Informatics, 2018)

Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms. - Shivarudhrappa Raghu; Natarajan Sriraam (Expert Syst. Appl., 2018)

A Novel Approach for Real-Time Recognition of Epileptic Seizures Using Minimum Variance Modified Fuzzy Entropy. - Shivarudhrappa Raghu; Natarajan Sriraam; Govindaiah Pradeep Kumar; Alangar Satyaranjandas Hegde (IEEE Trans. Biomed. Eng., 2018)

A convolutional neural network based framework for classification of seizure types. - Shivarudhrappa Raghu; Natarajan Sriraam; Yasin Temel; Shyam Vasudeva Rao; Pieter Leonard Kubben (EMBC, 2019)

Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier. - Shivarudhrappa Raghu; Natarajan Sriraam; Yasin Temel; Shyam Vasudeva Rao; Alangar Satyaranjandas Hegde; Pieter Leonard Kubben (Comput. Biol. Medicine, 2019)

A novel approach for classification of epileptic seizures using matrix determinant. - Shivarudhrappa Raghu; Natarajan Sriraam; Alangar Sathyaranjan Hegde; Pieter Leonard Kubben (Expert Syst. Appl., 2019)

Adaptive median feature baseline correction for improving recognition of epileptic seizures in ICU EEG. - Shivarudhrappa Raghu; Natarajan Sriraam; Erik D. Gommer; Danny M. W. Hilkman; Yasin Temel; Shyam Vasudeva Rao; Pieter Leonard Kubben (Neurocomputing, 2020)

Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG. - Shivarudhrappa Raghu; Natarajan Sriraam; Shyam Vasudeva Rao; Alangar Sathyaranjan Hegde; Pieter Leonard Kubben (Neural Comput. Appl., 2020)

EEG based multi-class seizure type classification using convolutional neural network and transfer learning. - Shivarudhrappa Raghu; Natarajan Sriraam; Yasin Temel; Shyam Vasudeva Rao; Pieter Leonard Kubben (Neural Networks, 2020)

EEG-Based Demarcation of Yogic and Non-Yogic Sleep Patterns Using Power Spectral Analysis. - Basavaraj Hiremath; Natarajan Sriraam; B. R. Purnima; Nithin N. S.; Suresh Babu Venkatasamy; Megha Narayanan (Int. J. E Health Medical Commun., 2021)

EMG-Based Essential Tremor Detection Using PSD Features With Recurrent Feedforward Back Propogation Neural Network. - Natarajan Sriraam (Int. J. E Health Medical Commun., 2021)

Performance evaluation of computer-aided automated master frame selection techniques for fetal echocardiography. - Natarajan Sriraam; Punyaprabha V; Sushma TV; Suresh S (Medical Biol. Eng. Comput., 2023)

Highresolution Net for Estimation of Fetal Growth Parameters from First Trimester Ultrasound Images. - Natarajan Sriraam; Babu Chinta; Suresh Seshadri; Sudarshan Suresh (TENCON, 2024)

Performance Evaluation of Wearable Nasal Sensor for Respiratory Assessments Using a NOVEL EDRS-LSTM Deep Learning Model. - Natarajan Sriraam; B. R. Purnima; Kiran D; KRV Subramanian; Gayathri Devi HJ (TENCON, 2024)

Performance evaluation of convolution neural network models for detection of abnormal and ventricular ectopic beat cardiac episodes. - Natarajan Sriraam; Avvaru Srinivasulu (Multim. Tools Appl., 2024)

A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms. - S. Malathi; A. Shenbagavalli; Natarajan Sriraam (IEEE Access, 2025)

A comprehensive review of artificial intelligence - based algorithm towards fetal facial anomalies detection (2013-2024). - Natarajan Sriraam; Babu Chinta; Suresh Seshadri; Sudarshan Suresh (Artif. Intell. Rev., 2025)