S. Ramakrishnan

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Comparison of two interpolation methods for empirical mode decomposition based evaluation of radiographic femur bone images.

G. Udhayakumar, C. Sujatha, S. Ramakrishnan, 2013, Acta of bioengineering and biomechanics.

Analysis of trabecular structure in radiographic bone images using bi-dimensional empirical mode decomposition - biomed 2011.

G. Udayakumar, C. Sujatha, S. Ramakrishnan, 2011, Biomedical sciences instrumentation.

Multifractal analysis of uterine electromyography signals to differentiate term and preterm conditions

S. Ramakrishnan, N. Punitha, 2019, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Segmentation and morphometric analysis of subcortical regions in autistic MR brain images using fuzzy Gaussian distribution model-based distance regularised multi-phase level set

G. Kavitha, S. Ramakrishnan, A. R. J. Fredo, 2014 .

Variations of white matter tract length in regions of emotional regulation as assessed in alzheimer diffusion tensor images

S. Ramakrishnan, R. Piyush, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

Evaluation of forced expiratory volume prediction in spirometric test using Principal Component Analysis

S. Ramakrishnan, A. Kavitha, M. Sujatha, 2011 .

Prediction of Spirometric Forced Expiratory Volume (FEV1) Data Using Support Vector Regression

C. M. Sujatha, Swaminathan Ramakrishnan, A. Kavitha, 2010 .

Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals

S. Ramakrishnan, Navaneethakrishna Makaram, S. Ramakrishnan, 2014, Expert Syst. Appl..

Analysis of muscle fatigue conditions using time-frequency images and GLCM features

P. A. Karthick, A. R. Jac Fredo, S. Ramakrishnan, 2016 .

Analysis of fatigue conditions in triceps brachii muscle using sEMG signals and spectral correlation density function

Kiran Marri, P. A. Karthick, S. Ramakrishnan, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

Modelling Bio-heat transfer in Breast Cysts using Finite Element analysis

S. Ramakrishnan, K. Balusu, S. Suganthi, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

Analysis of restrictive pulmonary function abnormality using spirometric investigations and QPSO feature selection

G. Kavitha, C. Sujatha, S. Ramakrishnan, 2014 .

CORRELATION OF DIELECTRIC PERMITTIVITY WITH MECHANICAL PROPERTIES IN SOFT TISSUE-MIMICKING POLYACRYLAMIDE PHANTOMS

S. Ramakrishnan, K. Kamalanand, B. Sridhar, 2010 .

Trabecular architecture analysis in femur radiographic images using fractals

G. Udhayakumar, C. Sujatha, S. Ramakrishnan, 2013, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Atrophy analysis of corpus callosum in Alzheimer brain MR images using anisotropic diffusion filtering and level sets

C. M. Sujatha, S. Ramakrishnan, K. R. Anandh, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Analysis of trabecular structure in radiographic bone images using empirical mode decomposition and support vector machines

G. Udhayakumar, C. Sujatha, S. Ramakrishnan, 2012, 2012 38th Annual Northeast Bioengineering Conference (NEBEC).

QUALITATIVE ASSESSMENT OF TENSILE STRENGTH COMPONENTS OF HUMAN FEMUR TRABECULAR BONE USING RADIOGRAPHIC IMAGING AND SPECTRAL ANALYSIS

S. Ramakrishnan, Mythili Asaithambi, J. J. Christopher, 2009 .

Estimation of Compressive Strength of Femur Bones using Radiographic Imaging and Spectral Analysis

S. Ramakrishnan, A. Mythili, J. J. Christopher, 2008, 2008 International Conference on Signal Processing, Communications and Networking.

Assessment of Human Red Blood Cell Aggregation Using Image Processing and Wavelets

S. Ramakrishnan, A. Kavitha, 2007 .

Analysis of sub-cortical regions in cognitive processing using fuzzy c-means clustering and geometrical measure in autistic MR images

A. R. Jac Fredo, G. Kavitha, S. Ramakrishnan, 2014, 2014 40th Annual Northeast Bioengineering Conference (NEBEC).

Analysis of ventricles in alzheimer MR images using coherence enhancing diffusion filter and level set method

K. R. Anandh, C. Sujatha, S. Ramakrishnan, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

Analysis of sub-anatomic volume changes in Alzheimer brain using diffusion tensor imaging

S. Ramakrishnan, R. Piyush, 2014, 2014 40th Annual Northeast Bioengineering Conference (NEBEC).

Principal Component Analysis based Evaluation of Transducer Influence in Spirometric Respiratory Measurements

S. Ramakrishnan, A. Kavitha, M. SujathaC, 2009 .

Biceps Brachii Muscle Fatigue Progression Analysis Using Extended Modified B-distribution Based Time-frequency Features

S. Ramakrishnan, P. Karthick, Maitra Ghosh Diptasree, 2017 .

EXPERIMENTAL ANALYSIS ON HUMAN RESPIRATORY DYNAMICS USING FLOW-VOLUME SPIROMETRY AND COMBINED NEURAL NETWORKS

S. Ramakrishnan, S. C. Manoharan, Mahesh Veezhinathan, 2008 .

Analysis of Chronic Wound Images Using Factorization Based Segmentation and Machine Learning Methods

S. Ramakrishnan, I. Kavitha, S. S. Suganthi, 2017, ICCBB 2017.

A Method to Differentiate Mild Cognitive Impairment and Alzheimer in MR Images using Eigen Value Descriptors

C. M. Sujatha, S. Ramakrishnan, K. R. Anandh, 2015, Journal of Medical Systems.

Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms

P. A. Karthick, S. Ramakrishnan, Diptasree Maitra Ghosh, 2018, Comput. Methods Programs Biomed..

Comparison of Two ANN Methods for Classification of Spirometer Data

Swaminathan Ramakrishnan, Mahesh Veezhinathan, Sujatha C. Manoharan, 2008 .

Influence of bone quality and pedicle screw design on the fixation strength during Axial Pull-out test: A 2D Axisymmetric FE study

Swaminathan Ramakrishnan, Harikrishna Makaram, S. Ramakrishnan, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Total variation based edge enhancement for level set segmentation and asymmetry analysis in breast thermograms

C. M. Sujatha, S. Ramakrishnan, K. R. Anandh, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Dynamic contraction and fatigue analysis in biceps brachii muscles using synchrosqueezed wavelet transform and singular value features

S. Ramakrishnan, Gopinath Venugopal, L. Hari, 2021, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Muscle fatigue analysis in biceps brachii surface electromyography signals using synchrosqueezed Morlet wavelet and singular value decomposition

S. Ramakrishnan, G. Venugopal, L. Hari, 2020, Electronics Letters.

Analysis of Isometric Muscle Contractions using Analytic Bump Continuous Wavelet Transform

Lakshmi M. Hari, G. Venugopal, S Ramakrishnan, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Analysis of uterine EMG signals in term and preterm conditions using generalised Hurst exponent features

S. Ramakrishnan, N. Punitha, 2019, Electronics Letters.

Analysis of sub-anatomic diffusion tensor imaging indices in white matter regions of Alzheimer with MMSE score

S. Ramakrishnan, Ravindra B. Patil, S. Ramakrishnan, 2014, Comput. Methods Programs Biomed..

Extreme Learning Machine based Differentiation of Pulmonary Tuberculosis in Chest Radiographs using Integrated Local Feature Descriptors

Swaminathan Ramakrishnan, Satyavratan Govindarajan, S. Ramakrishnan, 2021, Comput. Methods Programs Biomed..

Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images

S. Ramakrishnan, Sreelakshmi Shaji, A. K. Ramaniharan, 2022, Expert Syst. Appl..

Detection of blood vessels in human retinal images using Ant Colony Optimisation method

G. Kavitha, Swaminathan Ramakrishnan, G. Kavitha, 2011 .

Automated detection of preterm condition using uterine electromyography based topological features

S. Ramakrishnan, N. Punitha, S. Vinothini, 2021 .

Laplace Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers

Swaminathan Ramakrishnan, Anandh Kilpattu Ramaniharan, Sujatha C. Manoharan, 2016, Expert Syst. Appl..

Differentiation of early mild cognitive impairment in brainstem MR images using multifractal detrended moving average singularity spectral features

S. Ramakrishnan, P. Rohini, S. Sundar, 2020, Biomed. Signal Process. Control..

Assessment and Classification of Mechanical Strength Components of Human Femur Trabecular Bone Using Texture Analysis and Neural Network

Swaminathan Ramakrishnan, Joseph Jesu Christopher, S. Ramakrishnan, 2008, Journal of Medical Systems.

Analysis of Vasculature in Human Retinal Images Using Particle Swarm Optimization Based Tsallis Multi-level Thresholding and Similarity Measures

Swaminathan Ramakrishnan, Ganesan Kavitha, Nadaradjane Sri Madhava Raja, 2012, SEMCCO.

Non-Parametric Classifiers Based Emotion Classification Using Electrodermal Activity and Modified Hjorth Features

Swaminathan Ramakrishnan, Nagarajan Ganapathy, Yedukondala Rao Veeranki, 2021, MIE.

Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features

Swaminathan Ramakrishnan, Nagarajan Ganapathy, Yedukondala Rao Veeranki, 2020, Expert Syst. Appl..

Imperceptibility - Robustness tradeoff studies for ECG steganography using Continuous Ant Colony Optimization

Swaminathan Ramakrishnan, S. Edward Jero, Palaniappan Ramu, 2016, Expert Syst. Appl..

Discrete Wavelet Transform and Singular Value Decomposition Based ECG Steganography for Secured Patient Information Transmission

Swaminathan Ramakrishnan, S. Edward Jero, Palaniappan Ramu, 2014, Journal of Medical Systems.

ECG steganography using curvelet transform

S. Edward Jero, Palaniappan Ramu, Swaminathan Ramakrishnan, 2015, Biomed. Signal Process. Control..

Adaptive learning and cross training improves R-wave detection in ECG

Swaminathan Ramakrishnan, Thomas M. Deserno, Nagarajan Ganapathy, 2021, Comput. Methods Programs Biomed..

Retrospective Non-Uniform Illumination Correction Techniques in Images of Tuberculosis

Swaminathan Ramakrishnan, Subramanian Srinivasan, Ebenezer Priya, 2014, Microscopy and Microanalysis.

Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection

Swaminathan Ramakrishnan, Subha D. Puthankattil, Nagarajan Ganapathy, 2021, MIE.

Variational mode decomposition based differentiation of fatigue conditions in muscles using surface electromyography signals

Divya Bharathi Krishnamani, S. Ramakrishnan, P. Karthick, 2020, IET Signal Process..

NEURAL NETWORK–BASED CLASSIFICATION OF NORMAL AND ABNORMAL PULMONARY FUNCTION USING SPIROMETRIC MEASUREMENTS

Swaminathan Ramakrishnan, Mahesh Veezhinathan, S. Ramakrishnan, 2007 .

Proposal of a Content Based retinal Image Retrieval system using Kirsch template based edge detection

G. Kavitha, S. Ramakrishnan, V. Natarajan, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

Analysis of progression of fatigue conditions in biceps brachii muscles using surface electromyography signals and complexity based features

P. A. Karthick, S. Ramakrishnan, Navaneethakrishna Makaram, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Evaluation of Flow–Volume Spirometric Test Using Neural Network Based Prediction and Principal Component Analysis

Swaminathan Ramakrishnan, Kavitha Anandan, Sujatha C. Manoharan, 2011, Journal of Medical Systems.

Detection of Obstructive Respiratory Abnormality Using Flow–Volume Spirometry and Radial Basis Function Neural Networks

Swaminathan Ramakrishnan, Mahesh Veezhinathan, S. Ramakrishnan, 2007, Journal of Medical Systems.

Reliability analysis of muscle stiffness estimation in varied loading levels by using dynamic myotonometric measurements

S. Ramakrishnan, A. Arunachalakasi, S. Banerjee, 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

An Approach to Identify Optic Disc in Human Retinal Images Using Ant Colony Optimization Method

Swaminathan Ramakrishnan, Ganesan Kavitha, G. Kavitha, 2010, Journal of Medical Systems.

Analysis of surface Electromyography signals using ZAM based quadratic time frequency distribution

P. A. Karthick, S. Ramakrishnan, S. Ramakrishnan, 2014, 2014 40th Annual Northeast Bioengineering Conference (NEBEC).

ACCURACY AND CONSISTENCY OF AUTOMATED BRAIN TUMOR SEGMENTATION IN GRAY MATTER MAGNETIC RESONANCE IMAGES

S. Ramakrishnan, K. KharmegaSundararaj, K. Vinoth Raja, 2015 .

Generation of synthetic surface electromyography signals under fatigue conditions for varying force inputs using feedback control algorithm

S Ramakrishnan, G Venugopal, P Deepak, 2017, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

Minkowski functionals based brain to ventricle index for analysis of AD progression in MR images

C. M. Sujatha, S. Ramakrishnan, Ganesan Kavitha, 2015 .

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network

Swaminathan Ramakrishnan, Nagarajan Ganapathy, S. Ramakrishnan, 2019, EFMI-STC.

Analysis of Needle Electromyography Signal in Neuropathy and Myopathy Conditions using Tunable-Q Wavelet Transform

S. Edward Jero, Lakshmi M. Hari, G. Venugopal, 2019, ICBSP '19.

Differentiation of fluctuations in uterine contractions associated with Term pregnancies using adaptive fractal features of electromyography signals.

S. Ramakrishnan, N. Punitha, P. Vardhini, 2021, Medical engineering & physics.

Analysis of Fluctuations of Uterine Contractions in Preterm Pregnancies using Adaptive Fractal Features of Electromyography Signals

S. Ramakrishnan, N. Punitha, S. Vinothini, 2020 .

Explainable Optimized LightGBM Based Differentiation of Mild Cognitive Impairment Using MR Radiomic Features

S. Ramakrishnan, Sreelakshmi Shaji, R. Palanisamy, 2022, ICIMTH.

Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images

S. Ramakrishnan, G. Kavitha, A. R. Jac Fredo, 2014, Int. J. Imaging Syst. Technol..

Analysis of intima media thickness in ultrasound carotid artery images using level set segmentation without re-initialization

S. Ramakrishnan, K. Sumathi, V. Mahesh, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

Semi Automatic Segmentation of Breast Thermograms Using Variational Level Set Method

S. Ramakrishnan, S. S. Suganthi, S. Ramakrishnan, 2014 .

ASSESSMENT AND CLASSIFICATION OF MECHANICAL STRENGTH COMPONENTS OF HUMAN FEMUR TRABECULAR BONE USING DIGITAL IMAGE PROCESSING AND NEURAL NETWORKS

Swaminathan Ramakrishnan, Joseph Jesu Christopher, S. Ramakrishnan, 2007 .

Emotion Recognition Using Spectral Feature from Facial Electromygraphy Signals for Human-Machine Interface

Swaminathan Ramakrishnan, P. A. Karthick, Navaneethakrishna Makaram, 2021, MIE.

Prediction of Forced Expiratory Volume in Pulmonary Function Test using Radial Basis Neural Networks and k-means Clustering

Swaminathan Ramakrishnan, Sujatha C. Manoharan, S. Ramakrishnan, 2009, Journal of Medical Systems.

Assessment and classification of normal and restrictive respiratory conditions through pulmonary function test and neural network

S Ramakrishnan, S. Ramakrishnan, V Mahesh, 2007, Journal of medical engineering & technology.

Time and Frequency domain analysis of APB muscles Abduction in adult dominant hand using surface electromyography signals

S. Ramakrishnan, Himanshu Kumar, 2022, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

A Method to Differentiate Fatiguing Conditions in Surface Electromyography Signals using Instantaneous Spectral Centroid

S. Edward Jero, K. Divya Bharathi, S. Ramakrishnan, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Correlation of Diffusion Tensor Imaging Indices with MMSE Score in Alzheimer Patients: A Sub-anatomic Region Based Study on ADNI Database

Swaminathan Ramakrishnan, S. Ramakrishnan, Ravindra B Patil, 2013 .

Identification of brain white matter regions for diagnosis of Alzheimer using Diffusion Tensor Imaging

S. Ramakrishnan, Ravindra B. Patil, Ranjan Piyush, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Gaussian Mixture Model Based Diagnosis of Alzheimer's Using Diffusion Tensor Imaging

S. Ramakrishnan, Ravindra B. Patil, S. Ramakrishnan, 2013, 2013 39th Annual Northeast Bioengineering Conference.

Analysis of Tuberculosis in Chest Radiographs for Computerized Diagnosis using Bag of Keypoint Features

Swaminathan Ramakrishnan, Satyavratan Govindarajan, S. Ramakrishnan, 2019, Journal of Medical Systems.

Experimental Studies on Supersonic Cold Flow Mixing with Ramp Mixers

Satyanarayanan R. Chakravarthy, Sujatha C. Manoharan, B. Umesh Chandra, 2005 .

Analysis on the erythrocyte shape changes using wavelet transforms.

Swaminathan Ramakrishnan, S. Ramakrishnan, A. Kavitha, 2005, Clinical hemorheology and microcirculation.

Asymmetry analysis of breast thermograms using BM3D technique and statistical texture features

C. M. Sujatha, S. Ramakrishnan, S. Prabha, 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

Steganography in arrhythmic electrocardiogram signal

Swaminathan Ramakrishnan, S. Edward Jero, Palaniappan Ramu, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals

P. A. Karthick, S. Ramakrishnan, G. Venugopal, 2015, Journal of Medical Systems.

Geometric Features based Muscle Fatigue Analysis using Low Frequency Band in Surface Electromyographic signals

Divya Bharathi Krishnamani, S. Ramakrishnan, P. Karthick, 2020, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Analysis of Pre- and Post- Fatigue Thermal Profiles of the Dominant Hand Using Infrared Imaging

Swaminathan Ramakrishnan, Arun S. Balaji, Navaneethakrishna Makaram, 2017, ICCBB.

Anisotropic diffusion filter based edge enhancement for the segmentation of carotid intima-media layer in ultrasound images using variational level set method without re-initialisation

S. Ramakrishnan, K. Sumathi, K. R. Anandh, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Characterization of Alzheimer conditions in MR images using volumetric and sagittal brainstem texture features

P Rohini, S Sundar, S Ramakrishnan, 2019, Comput. Methods Programs Biomed..

Segmentation and Analysis of Corpus Callosum in Alzheimer MR Images using Total Variation Based Diffusion Filter and Level Set Method.

K. R. Anandh, K R Anandh, C M Sujatha, 2015, Biomedical sciences instrumentation.

Order Frequency Spectral Correlation Based Cyclo-nonstationary Analysis of Surface EMG Signals in Biceps Brachii Muscles

S. Edward Jero, S. Ramakrishnan, S. Ramakrishnan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analysis of progressive changes associated with muscle fatigue in dynamic contraction of biceps brachii muscle using surface EMG signals and bispectrum features

G. Venugopal, S. Ramakrishnan, S. Ramakrishnan, 2014 .

Characterization of Trabecular Architecture in Human Femur Radiographic Images Using Directional Multiresolution Transform and AdaBoost Model

Swaminathan Ramakrishnan, Thomas Christy Bobby, T. Bobby, 2012, SEMCCO.