Natarajan Sriraam

38 papers C 2Journal 34Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Performance evaluation of deep learning models for fetal contour segmentation. Multim. Tools Appl. Natarajan Sriraam, Mohammed Sinad, Suresh Seshadri, Sudarshan Suresh
2025	J	`jnl`	A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms. IEEE Access S. Malathi, A. Shenbagavalli, Natarajan Sriraam
2025	J	`jnl`	A comprehensive review of artificial intelligence - based algorithm towards fetal facial anomalies detection (2013-2024). Artif. Intell. Rev. Natarajan Sriraam, Babu Chinta, Suresh Seshadri, Sudarshan Suresh
2024	C	`conf`	Highresolution Net for Estimation of Fetal Growth Parameters from First Trimester Ultrasound Images. TENCON Natarajan Sriraam, Babu Chinta, Suresh Seshadri, Sudarshan Suresh
2024	C	`conf`	Performance Evaluation of Wearable Nasal Sensor for Respiratory Assessments Using a NOVEL EDRS-LSTM Deep Learning Model. TENCON Natarajan Sriraam, B. R. Purnima, Kiran D, KRV Subramanian, Gayathri Devi HJ
2024	J	`jnl`	Performance evaluation of convolution neural network models for detection of abnormal and ventricular ectopic beat cardiac episodes. Multim. Tools Appl. Natarajan Sriraam, Avvaru Srinivasulu
2023	J	`jnl`	Performance evaluation of computer-aided automated master frame selection techniques for fetal echocardiography. Medical Biol. Eng. Comput. Natarajan Sriraam, Punyaprabha V, Sushma TV, Suresh S
2021	J	`jnl`	EEG-Based Demarcation of Yogic and Non-Yogic Sleep Patterns Using Power Spectral Analysis. Int. J. E Health Medical Commun. Basavaraj Hiremath, Natarajan Sriraam, B. R. Purnima, Nithin N. S., Suresh Babu Venkatasamy, Megha Narayanan
2021	J	`jnl`	EMG-Based Essential Tremor Detection Using PSD Features With Recurrent Feedforward Back Propogation Neural Network. Int. J. E Health Medical Commun. Natarajan Sriraam
2020	J	`jnl`	Adaptive median feature baseline correction for improving recognition of epileptic seizures in ICU EEG. Neurocomputing Shivarudhrappa Raghu, Natarajan Sriraam, Erik D. Gommer, Danny M. W. Hilkman, Yasin Temel, Shyam Vasudeva Rao, Pieter Leonard Kubben
2020	J	`jnl`	Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG. Neural Comput. Appl. Shivarudhrappa Raghu, Natarajan Sriraam, Shyam Vasudeva Rao, Alangar Sathyaranjan Hegde, Pieter Leonard Kubben
2020	J	`jnl`	EEG based multi-class seizure type classification using convolutional neural network and transfer learning. Neural Networks Shivarudhrappa Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Pieter Leonard Kubben
2019	—	`conf`	A convolutional neural network based framework for classification of seizure types. EMBC Shivarudhrappa Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Pieter Leonard Kubben
2019	J	`jnl`	A novel approach for classification of epileptic seizures using matrix determinant. Expert Syst. Appl. Shivarudhrappa Raghu, Natarajan Sriraam, Alangar Sathyaranjan Hegde, Pieter Leonard Kubben
2019	J	`jnl`	Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier. Comput. Biol. Medicine Shivarudhrappa Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Alangar Satyaranjandas Hegde, Pieter Leonard Kubben
2018	J	`jnl`	A Novel Approach for Real-Time Recognition of Epileptic Seizures Using Minimum Variance Modified Fuzzy Entropy. IEEE Trans. Biomed. Eng. Shivarudhrappa Raghu, Natarajan Sriraam, Govindaiah Pradeep Kumar, Alangar Satyaranjandas Hegde
2018	J	`jnl`	Automated epileptic seizures detection using multi-features and multilayer perceptron neural network. Brain Informatics Natarajan Sriraam, Shivarudhrappa Raghu, Kadeeja Tamanna, Leena Narayan, Mehraj Khanum, Alangar Satyaranjandas Hegde, Anjani Bhushan Kumar
2018	J	`jnl`	Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms. Expert Syst. Appl. Shivarudhrappa Raghu, Natarajan Sriraam
2017	J	`jnl`	Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier. J. Medical Syst. Natarajan Sriraam, Shivarudhrappa Raghu
2017	J	`jnl`	Comparison of t-test ranking with PCA and SEPCOR feature selection for wake and stage 1 sleep pattern recognition in multichannel electroencephalograms. Biomed. Signal Process. Control. T. K. Padma Shri, Natarajan Sriraam
2017	J	`jnl`	Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures. Expert Syst. Appl. Shivarudhrappa Raghu, Natarajan Sriraam
2017	J	`jnl`	Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP's in multichannel EEGs. Brain Informatics T. K. Padma Shri, Natarajan Sriraam
2016	J	`jnl`	Spectral entropy feature subset selection using SEPCOR to detect alcoholic impact on gamma sub band visual event related potentials of multichannel electroencephalograms (EEG). Appl. Soft Comput. T. K. Padma Shri, Natarajan Sriraam
2012	J	`jnl`	Correlation dimension based lossless compression of EEG signals. Biomed. Signal Process. Control. Natarajan Sriraam
2012	J	`jnl`	EEG based automated detection of auditory loss: A pilot study. Expert Syst. Appl. Natarajan Sriraam
2012	J	`jnl`	Multi-feature Characterization of Epileptic Activity for Construction of an Automated Internet-based Annotated Classification. J. Medical Syst. R. Arvind, B. Karthik, Natarajan Sriraam
2011	J	`jnl`	3-D medical image compression using 3-D wavelet coders. Digit. Signal Process. Natarajan Sriraam, R. Shyamsunder
2010	J	`jnl`	Entropies based detection of epileptic seizures with artificial neural network classifiers. Expert Syst. Appl. Pravin Kumar Subbaraj, Natarajan Sriraam, Prabhu G. Benakop, B. C. Jinaga
2009	J	`jnl`	Performance Evaluation of Computer Aided Diagnostic Tool (CAD) for Detection of Ultrasonic Based Liver Disease. J. Medical Syst. Natarajan Sriraam, J. Roopa, M. Saranya, M. Dhanalakshmi
2008	J	`jnl`	An Adaptive Error Modeling Scheme for the Lossless Compression of EEG Signals. IEEE Trans. Inf. Technol. Biomed. Natarajan Sriraam, Chikkannan Eswaran
2008	J	`jnl`	Performance Evaluation of Neural Network and Linear Predictors for Near-Lossless Compression of EEG Signals. IEEE Trans. Inf. Technol. Biomed. Natarajan Sriraam, Chikkannan Eswaran
2007	J	`jnl`	A Pattern Matching Approach for the Estimation of Alignment Between Any Two Given DNA Sequences. J. Medical Syst. K. Basu, Natarajan Sriraam, R. J. A. Richard
2007	J	`jnl`	Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks. IEEE Trans. Inf. Technol. Biomed. V. Srinivasan, Chikkannan Eswaran, Natarajan Sriraam
2007	J	`jnl`	Compression of Patient Monitoring Video Using Motion Segmentation Technique. J. Medical Syst. R. Shyamsunder, Chikkannan Eswaran, Natarajan Sriraam
2006	J	`jnl`	Context Based Error Modeling for Lossless Compression of EEG Signals Using Neural Networks. J. Medical Syst. Natarajan Sriraam, Chikkannan Eswaran
2006	J	`jnl`	Internet transmission of DICOM images with effective low bandwidth utilization. Digit. Signal Process. B. Ramakrishnan, Natarajan Sriraam
2006	J	`jnl`	Medical image compression using 3-D Hartley transform. Comput. Biol. Medicine R. Shyamsunder, Chikkannan Eswaran, Natarajan Sriraam
2003	—	`conf`	Generalized Regression Neural Network Predictors for Lossless EEG Signal Compression. CITA Natarajan Sriraam, Chikkannan Eswaran