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ORCIDS. Ramakrishnan 0001
Swaminathan Ramakrishnan – Ramakrishnan Swaminathan
Person information
- affiliation: Indian Institute of Technology Madras, Department of Applied Mechanics, Biomedical Engineering Group, Chennai, India
- affiliation (former): Anna University, MIT Campus, Department of Instrumentation Engineering, Chennai, India
- not to be confused with: S. Ramakrishnan 0002
Other persons with the same name
- S. Ramakrishnan — disambiguation page
- S. Ramakrishnan 0002
![[0000-0002-1592-4287]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1592-4287")
— IIT Madras, Department of Electrical Engineering, Chennai, India (and 1 more) - S. Ramakrishnan 0003 (aka: Ramakrishnan Sethuraman) — Indian Institute of Technology Delhi, Bharti School of Telecommunication Technology and Management, India
- S. Ramakrishnan 0004 (aka: Srinivasan Ramakrishnan, Ramakrishnan Srinivasan) — Dr. Mahalingam College of Engineering and Technology, Department of Information Technology, Pollachi, India
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2020 – today
- 2024
[j41]Yedukondala Rao Veeranki, Nagarajan Ganapathy, Ramakrishnan Swaminathan, Hugo F. Posada-Quintero:
Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition. IEEE Access 12: 19952-19966 (2024)- [j40]Sourabh Banik, Himanshu Kumar, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Exploring Central-Peripheral Nervous System Interaction Through Multimodal Biosignals: A Systematic Review. IEEE Access 12: 60347-60368 (2024) - [j39]Remya R. Nair, G. Venugopal, Ramakrishnan Swaminathan:
Analysis of Muscle Fiber Type Proportions in Surface Electromyography Signals of Athletes Using Reassigned Morlet Scalogram. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [c77]Subham C., Sreelakshmi Shaji, Anandh Kilpattu Ramaniharan, Swathi S., Ramakrishnan Swaminathan:
An Approach to Survival Analysis in Glioma using Intra-Regional Ratiometric MR Image Features. ISBI 2024: 1-4 - [c76]Himanshu Kumar, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Assessment of Valance Emotional State Using EEG-EDA Coupling and Explainable Classifiers. MIE 2024: 953-957 - 2023
- [j38]Sukanta Kumar Tulo, Satyavratan Govindarajan, Palaniappan Ramu, Ramakrishnan Swaminathan:
Evaluation of geometric differences between right and left lungs in bacterial pneumonia chest radiographs. Biomed. Signal Process. Control. 85: 105000 (2023) - [j37]Philippa Hüpen, Himanshu Kumar, Aliaksandra Shymanskaya, Ramakrishnan Swaminathan, Ute Habel:
Impulsivity Classification Using EEG Power and Explainable Machine Learning. Int. J. Neural Syst. 33(2): 2350006:1-2350006:19 (2023) - [c75]S. Sowmya, Shib Sundar Banerjee, Ramakrishnan Swaminathan:
Assessment of Muscle Fatigue Using Phase Entropy of sEMG Signals During Dynamic Contractions of Biceps Brachii. CoDIT 2023: 2253-2256 - [c74]Priyanka Jadhav, Vinothini Selvaraju, Sarith P. Sathian, Ramakrishnan Swaminathan:
Use of Multiple Fluid Biomarkers for Predicting the Co-occurrence of Diabetes and Hypertension Using Machine Learning Approaches. EMBC 2023: 1-4 - [c73]P. A. Karthick, Vinothini Selvaraju, Ramakrishnan Swaminathan:
Empirical Mode Decomposition Based Measures for Investigating the Progression of Pregnancy from Uterine EMG. EMBC 2023: 1-4 - [c72]Pooja Vardhini Natesan, Shib Sundar Banerjee, Ramakrishnan Swaminathan:
Investigation of the Effect of Swelling on the Diffusion Properties of Polyethylene Glycol Hydrogel for Wound Healing Applications. EMBC 2023: 1-4 - [c71]Omkar Pande, Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
Effect of Extra-abdominal Vein Varix on the Stress Distribution in Umbilical Cord: A Simulation Study. EMBC 2023: 1-4 - [c70]Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminathan:
Semantic Segmentation of Cell Painted Organelles using DeepLabv3plus Model. EMBC 2023: 1-4 - [c69]Priyanka Jadhav, Vinothini Selvaraju, Ramakrishnan Swaminathan:
A Method to Predict Comorbid Conditions Using Risk Factor Profile of Multiple Fluid Biomarkers. ICIMTH 2023: 317-320 - [c68]S. Sowmya, Shib Sundar Banerjee, Ramakrishnan Swaminathan:
Analysis of Survival Probability and Its Association with Time to Task Failure in Induced Fatiguing Dynamic Contractions of Biceps Brachii Muscle using Surface Electromyography. MeMeA 2023: 1-5 - 2022
- [j36]Sreelakshmi Shaji, Jac Fredo Agastinose Ronickom, Anandh Kilpattu Ramaniharan, Ramakrishnan Swaminathan:
Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images. Expert Syst. Appl. 209: 118250 (2022) - [j35]Vinothini Selvaraju, Nicolai Spicher, Ju Wang, Nagarajan Ganapathy, Joana M. Warnecke, Steffen Leonhardt, Ramakrishnan Swaminathan, Thomas M. Deserno:
Continuous Monitoring of Vital Signs Using Cameras: A Systematic Review. Sensors 22(11): 4097 (2022) - [j34]Shib Sundar Banerjee, Divya Bharathi Krishnamani, Periyamolapalayam Allimuthu Karthick, Arockiarajan Arunachalakasi, Ramakrishnan Swaminathan:
Influence of Viscoelasticity on Dynamic Fatiguing Behavior of Muscle Using Myotonometry and Surface Electromyography Measurements. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c67]Vinothini Selvaraju, Nicolai Spicher, Ramakrishnan Swaminathan, Thomas M. Deserno:
Abstract: Face Detection From In-car Video for Continuous Health Monitoring. Bildverarbeitung für die Medizin 2022: 351 - [c66]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns. EMBC 2022: 277-283 - [c65]Vinothini Selvaraju, Nicolai Spicher, Ramakrishnan Swaminathan, Thomas M. Deserno:
Unobtrusive Heart Rate Monitoring using Near-Infrared Imaging During Driving. EMBC 2022: 2967-2971 - [c64]Divya Sasidharan, G. Venugopal, S. Ramakrishnan:
Muscle Fatigue Analysis by Visualization of Dynamic Surface EMG Signals Using Markov Transition Field. EMBC 2022: 3611-3614 - [c63]Kumar Nandan Sinha, Navaneethakrishna Makaram, Abhijit Chaudhuri, Ramakrishnan Swaminathan:
Numerical Analysis of Temperature Distribution Profiles of Breast Tissues with Cyst and Tumor of Different sizes and Locations. EMBC 2022: 3955-3958 - [c62]Omkar Pande, Harikrishna Makaram, Ramakrishnan Swaminathan:
Influence of Wall-lumen Ratio of Umbilical Arteries on the Stress Distribution in Wharton's Jelly. EMBC 2022: 3959-3962 - [c61]Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminathan:
An Approach to Differentiate Cell Painted ER and Cytoplasm Using Zernike Moment Descriptor and Multilayer Perceptron. ICIMTH 2022: 308-311 - [c60]Sreelakshmi Shaji, Rohini Palanisamy, Ramakrishnan Swaminathan:
Explainable Optimized LightGBM Based Differentiation of Mild Cognitive Impairment Using MR Radiomic Features. ICIMTH 2022: 483-486 - [c59]Shabina Shaikh, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Automated Segmentation of Lateral Ventricles in Alzheimer's Conditions Using UNET++ Model. ICIMTH 2022: 511-514 - [c58]J. V. Alamelu, Mythili Asaithambi, Ramakrishnan Swaminathan:
Analysis of Rise Time Responses of a Smart Infusion Pump for the Control of Dopamine Drug Flow Rate. MeMeA 2022: 1-5 - [c57]Shib Sundar Banerjee, Arockiarajan Arunachalakasi, Ramakrishnan Swaminathan:
Reliability analysis of muscle stiffness estimation in varied loading levels by using dynamic myotonometric measurements. MeMeA 2022: 1-5 - [c56]Himanshu Kumar, Ramakrishnan Swaminathan:
Time and Frequency domain analysis of APB muscles Abduction in adult dominant hand using surface electromyography signals. MeMeA 2022: 1-5 - [c55]Vinothini Selvaraju, P. A. Karthick, Swaminathan Ramakrishnan:
Spectral Correlation Density based Electrohysterography Signal Analysis for the Detection of Preterm Birth. MeMeA 2022: 1-5 - [c54]Sreelekshmi Palliyil Sreekumar, Rohini Palanisamy, Ramakrishnan Swaminathan:
Differentiation of Cell Painted Organelles Using Non Local Texture Descriptor and Random Forest Approach. MIE 2022: 925-929 - [c53]Yedukondala Rao Veeranki, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Classification of Dichotomous Emotional States Using Electrodermal Activity Signals and Multispectral Analysis. MIE 2022: 941-942 - [c52]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features. MIE 2022: 943-944 - 2021
- [j33]Yedukondala Rao Veeranki, Himanshu Kumar, Nagarajan Ganapathy, Balasubramaniam Natarajan, Ramakrishnan Swaminathan:
A Systematic Review of Sensing and Differentiating Dichotomous Emotional States Using Audio-Visual Stimuli. IEEE Access 9: 124434-124451 (2021) - [j32]Satyavratan Govindarajan, Ramakrishnan Swaminathan:
Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks. Appl. Intell. 51(5): 2764-2775 (2021) - [j31]Satyavratan Govindarajan, Ramakrishnan Swaminathan:
Correction to: Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks. Appl. Intell. 51(5): 2776 (2021) - [j30]S. Edward Jero, Divya Bharathi Krishnamani, P. A. Karthick, S. Ramakrishnan:
Muscle fatigue analysis in isometric contractions using geometric features of surface electromyography signals. Biomed. Signal Process. Control. 68: 102603 (2021) - [j29]Nagarajan Ganapathy, Ramakrishnan Swaminathan, Thomas M. Deserno:
Adaptive learning and cross training improves R-wave detection in ECG. Comput. Methods Programs Biomed. 200: 105931 (2021) - [j28]Satyavratan Govindarajan, Ramakrishnan Swaminathan:
Extreme Learning Machine based Differentiation of Pulmonary Tuberculosis in Chest Radiographs using Integrated Local Feature Descriptors. Comput. Methods Programs Biomed. 204: 106058 (2021) - [j27]Nagarajan Ganapathy, Yedukondala Rao Veeranki, Himanshu Kumar, Ramakrishnan Swaminathan:
Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network. J. Medical Syst. 45(4): 49 (2021) - [j26]Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, Ramakrishnan Swaminathan:
Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [c51]Harikrishna Makaram, Ramakrishnan Swaminathan:
Influence of bone quality and pedicle screw design on the fixation strength during Axial Pull-out test: A 2D Axisymmetric FE study. EMBC 2021: 4924-4927 - [c50]Himanshu Kumar, Nagarajan Ganapathy, Subha D. Puthankattil, Ramakrishnan Swaminathan:
Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection. MIE 2021: 153-157 - [c49]Sreelakshmi Shaji, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Differentiation of Alzheimer Conditions in MR Brain Images Using a Single Inception Module Network. MIE 2021: 158-162 - [c48]Yedukondala Rao Veeranki, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Non-Parametric Classifiers Based Emotion Classification Using Electrodermal Activity and Modified Hjorth Features. MIE 2021: 163-167 - [c47]Vinothini Selvaraju, P. A. Karthick, Ramakrishnan Swaminathan:
Analysis of Frequency Bands of Uterine Electromyography Signals for the Detection of Preterm Birth. MIE 2021: 283-287 - [c46]Jayendhra Shiva, Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, Ramakrishnan Swaminathan:
Emotion Recognition Using Spectral Feature from Facial Electromygraphy Signals for Human-Machine Interface. MIE 2021: 486-487 - [c45]Navaneethakrishna Makaram, Sridhar P. Arjunan, Dinesh Kant Kumar, Ramakrishnan Swaminathan:
Spatial Intensity Map of HDEMG Based Classification of Muscle Fatigue. MIE 2021: 508-509 - [c44]Satyavratan Govindarajan, Ramakrishnan Swaminathan:
Performance of SURF and SIFT Keypoints for the Automated Differentiation of Abnormality in Chest Radiographs. MIE 2021: 510-511 - [c43]Sukanta Kumar Tulo, Palaniappan Ramu, Ramakrishnan Swaminathan:
An Automated Approach to Differentiate Drug Resistant Tuberculosis in Chest X-ray Images Using Projection Profiling and Mediastinal Features. MIE 2021: 512-513 - 2020
- [j25]Rohini Palanisamy, S. Sundar, S. Ramakrishnan:
Differentiation of early mild cognitive impairment in brainstem MR images using multifractal detrended moving average singularity spectral features. Biomed. Signal Process. Control. 57 (2020) - [j24]Nagarajan Ganapathy, Yedukondala Rao Veeranki, Ramakrishnan Swaminathan:
Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features. Expert Syst. Appl. 159: 113571 (2020) - [j23]Divya Bharathi Krishnamani, P. A. Karthick, Ramakrishnan Swaminathan:
Variational mode decomposition based differentiation of fatigue conditions in muscles using surface electromyography signals. IET Signal Process. 14(10): 745-753 (2020) - [j22]Krishnamurthy Kamalanand, Sujatha C. Manoharan, Ramakrishnan Swaminathan:
A Jacobian approach for calculating the Lyapunov exponents of short time series using support vector regression. J. Ambient Intell. Humaniz. Comput. 11(8): 3329-3335 (2020) - [c42]Divya Bharathi Krishnamani, P. A. Karthick, Ramakrishnan Swaminathan:
Geometric Features based Muscle Fatigue Analysis using Low Frequency Band in Surface Electromyographic signals. APSIPA 2020: 905-908 - [c41]S. Edward Jero, Krishnamani Divya Bharathi, S. Ramakrishnan:
A Method to Differentiate Fatiguing Conditions in Surface Electromyography Signals using Instantaneous Spectral Centroid. EMBC 2020: 690-693 - [c40]Lakshmi Madathil Hari, Venugopal Gopinathakaimal, Ramakrishnan Swaminathan:
Analysis of Isometric Muscle Contractions using Analytic Bump Continuous Wavelet Transform. EMBC 2020: 732-735 - [c39]Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
Classification of Biceps Brachii Muscle Fatigue Condition Using Phase Space Network Features. MIE 2020: 1219-1220 - [c38]Satyavratan Govindarajan, Sukanta Kumar Tulo, Ramakrishnan Swaminathan:
Classification of Normal and Cardiomegaly Conditions in Chest Radiographs Using Cardio-Mediastinal Features. MIE 2020: 1225-1226 - [c37]Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Emotion Analysis Using Electrodermal Signals and Spiking Deep Belief Network. MIE 2020: 1269-1270 - [c36]Rohini Palanisamy, Ramakrishnan Swaminathan:
Identification of EMCI in MR Brainstem Structure Using Fractal Measures and Random Forest Approach. MIE 2020: 1309-1310
2010 – 2019
- 2019
- [j21]Rohini Palanisamy, S. Sundar, S. Ramakrishnan:
Characterization of Alzheimer conditions in MR images using volumetric and sagittal brainstem texture features. Comput. Methods Programs Biomed. 173: 147-155 (2019) - [j20]Satyavratan Govindarajan, Ramakrishnan Swaminathan:
Analysis of Tuberculosis in Chest Radiographs for Computerized Diagnosis using Bag of Keypoint Features. J. Medical Syst. 43(4): 87:1-87:9 (2019) - [j19]Punitha Namadurai, Vardhini Padmanabhan, Ramakrishnan Swaminathan:
Multifractal Analysis of Uterine Electromyography Signals for the Assessment of Progression of Pregnancy in Term Conditions. IEEE J. Biomed. Health Informatics 23(5): 1972-1979 (2019) - [c35]Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network. EFMI-STC 2019: 140 - [c34]Ravi Dadsena, Rohini Palanisamy, S. Ramakrishnan:
Proposal of a Machine Learning Approach to Differentiate Mild and Alzheimer's Condition in MR Images Using Shape Changes in Corpus Callosum. EFMI-STC 2019: 243-244 - [c33]Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
Analysis of Dynamic Contractions from Biceps Brachii Muscle using Surface Electromyography signals and Multiscale Visibility Graph Features. EMBC 2019: 2653-2656 - [c32]S. Edward Jero, Swaminathan Ramakrishnan:
Analysis of Muscle Fatigue Conditions in Surface EMG Signal with A Novel Hilbert Marginal Spectrum Entropy Method. EMBC 2019: 2675-2678 - [c31]Kanchana Devanathan, Nagarajan Ganapathy, Ramakrishnan Swaminathan:
Binary Grey Wolf Optimizer based Feature Selection for Nucleolar and Centromere Staining Pattern Classification in Indirect Immunofluorescence Images. EMBC 2019: 7040-7043 - [c30]S. Edward Jero, Swaminathan Ramakrishnan:
Order Frequency Spectral Correlation Based Cyclo-nonstationary Analysis of Surface EMG Signals in Biceps Brachii Muscles. EMBC 2019: 7165-7168 - [c29]Satyavratan Govindarajan, Neeraj Rajkumar Parmaar, Ramakrishnan Swaminathan:
A Proposal to Differentiate Homogenous and Speckled Shapes in Indirect Immunofluorescence Images Using Neutrosophic Sets. ICBSP 2019: 65-71 - [c28]Lakshmi Madathil Hari, S. Edward Jero, G. Venugopal, S. Ramakrishnan:
Analysis of Needle Electromyography Signal in Neuropathy and Myopathy Conditions using Tunable-Q Wavelet Transform. ICBSP 2019: 78-82 - 2018
- [j18]P. A. Karthick, Diptasree Maitra Ghosh, S. Ramakrishnan:
Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms. Comput. Methods Programs Biomed. 154: 45-56 (2018) - [c27]Punitha Namadurai, S. Ramakrishnan:
Analysis of uterine electromyography signals in preterm condition using multifractal algorithm. EMBC 2018: 1-4 - [c26]Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
Analysis of Sequential Visibility Motifs in Isometric Surface Electromyography Signals in Fatiguing Condition. EMBC 2018: 2659-2662 - 2017
- [c25]Kiran Marri, Diptasree Maitra Ghosh, Ramakrishnan Swaminathan:
Analysis of one repetition during biceps curl exercise among age-matched adult volunteers using endurance, curl speed and surface electromyography signals. EMBC 2017: 3465-3468 - [c24]Diptasree Maitra Ghosh, Ramakrishnan Swaminathan:
Fatigue Analysis in Biceps Brachii Muscles Using Semg Signals and Polynomial Chirplet Transform. ICCBB 2017: 43-47 - [c23]Arun S. Balaji, Navaneethakrishna Makaram, Sriram Balasubramanian, Ramakrishnan Swaminathan:
Analysis of Pre- and Post- Fatigue Thermal Profiles of the Dominant Hand Using Infrared Imaging. ICCBB 2017: 53-57 - [c22]Kavitha Illath, S. S. Suganthi, S. Ramakrishnan:
Analysis of Chronic Wound Images Using Factorization Based Segmentation and Machine Learning Methods. ICCBB 2017: 74-78 - 2016
- [j17]P. A. Karthick, S. Ramakrishnan:
Surface electromyography based muscle fatigue progression analysis using modified B distribution time-frequency features. Biomed. Signal Process. Control. 26: 42-51 (2016) - [j16]S. Edward Jero, Palaniappan Ramu, Ramakrishnan Swaminathan:
Imperceptibility - Robustness tradeoff studies for ECG steganography using Continuous Ant Colony Optimization. Expert Syst. Appl. 49: 123-135 (2016) - [j15]Anandh Kilpattu Ramaniharan, Sujatha C. Manoharan, Ramakrishnan Swaminathan:
Laplace Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers. Expert Syst. Appl. 59: 208-216 (2016) - [j14]K. R. Anandh, C. M. Sujatha, S. Ramakrishnan:
A Method to Differentiate Mild Cognitive Impairment and Alzheimer in MR Images using Eigen Value Descriptors. J. Medical Syst. 40(1): 25:1-25:8 (2016) - [j13]P. A. Karthick, G. Venugopal, S. Ramakrishnan:
Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals. J. Medical Syst. 40(1): 28:1-28:11 (2016) - [c21]Kiran Marri, Ramakrishnan Swaminathan:
Analyzing the influence of curl speed in fatiguing biceps brachii muscles using sEMG signals and multifractal detrended moving average algorithm. EMBC 2016: 3658-3661 - 2015
- [j12]S. Edward Jero, Palaniappan Ramu, Ramakrishnan Swaminathan:
ECG steganography using curvelet transform. Biomed. Signal Process. Control. 22: 161-169 (2015) - [c20]S. Edward Jero, Palaniappan Ramu, Ramakrishnan Swaminathan:
Steganography in arrhythmic electrocardiogram signal. EMBC 2015: 1409-1412 - [c19]Navaneethakrishna Makaram, Periyamolapalayam Allimuthu Karthick, S. Ramakrishnan:
Analysis of biceps brachii sEMG signal using Multiscale Fuzzy Approximate Entropy. EMBC 2015: 7881-7884 - [c18]Kiran Marri, Ramakrishnan Swaminathan:
Classification of muscle fatigue using surface electromyography signals and multifractals. FSKD 2015: 669-674 - 2014
- [j11]S. S. Suganthi, S. Ramakrishnan:
Anisotropic diffusion filter based edge enhancement for segmentation of breast thermogram using level sets. Biomed. Signal Process. Control. 10: 128-136 (2014) - [j10]Ravindra B. Patil, S. Ramakrishnan:
Analysis of sub-anatomic diffusion tensor imaging indices in white matter regions of Alzheimer with MMSE score. Comput. Methods Programs Biomed. 117(1): 13-19 (2014) - [j9]G. Venugopal, Navaneethakrishna Makaram, S. Ramakrishnan:
Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals. Expert Syst. Appl. 41(6): 2652-2659 (2014) - [j8]Agastinose Ronickom Jac Fredo, G. Kavitha, S. Ramakrishnan:
Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images. Int. J. Imaging Syst. Technol. 24(3): 256-262 (2014) - [j7]S. S. Suganthi, S. Ramakrishnan:
Analysis of Breast Thermograms Using Gabor Wavelet Anisotropy Index. J. Medical Syst. 38(9): 101 (2014) - [j6]S. Edward Jero, Palaniappan Ramu, Ramakrishnan Swaminathan:
Discrete Wavelet Transform and Singular Value Decomposition Based ECG Steganography for Secured Patient Information Transmission. J. Medical Syst. 38(10): 132 (2014) - [c17]Sumathi Krishnaswamy, Anandh Kilpattu Ramaniharan, Mahesh Veezhinathan, S. Ramakrishnan:
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. EMBC 2014: 238-241 - [c16]Machireddy Archana, S. Ramakrishnan:
Detection of Alzheimer disease in MR images using structure tensor. EMBC 2014: 1043-1046 - [c15]K. R. Anandh, C. M. Sujatha, S. Ramakrishnan:
Atrophy analysis of corpus callosum in Alzheimer brain MR images using anisotropic diffusion filtering and level sets. EMBC 2014: 1945-1948 - [c14]Periyamolapalayam Allimuthu Karthick, Navaneethakrishna Makaram, S. Ramakrishnan:
Analysis of progression of fatigue conditions in biceps brachii muscles using surface electromyography signals and complexity based features. EMBC 2014: 3276-3279 - [c13]Navaneethakrishna Makaram, S. Ramakrishnan:
Multiscale feature based analysis of surface EMG signals under fatigue and non-fatigue conditions. EMBC 2014: 4627-4630 - [c12]S. Prabha, K. R. Anandh, C. M. Sujatha, S. Ramakrishnan:
Total variation based edge enhancement for level set segmentation and asymmetry analysis in breast thermograms. EMBC 2014: 6438-6441 - [c11]P. A. Karthick, S. Ramakrishnan:
Analysis of fatigue conditions in biceps brachii muscles using surface electromyography signals and strip spectral correlation. DSP 2014: 190-194 - [c10]Kiran Marri, Swaminathan Ramakrishnan:
Analysis of sEMG signals associated with isometric contraction of triceps brachii muscles using multifractals. MIPRO 2014: 279-283 - [c9]Navaneethakrishna Makaram, Ramakrishnan Swaminathan:
A Binary Bat Approach for Identification of Fatigue Condition from sEMG Signals. SEMCCO 2014: 480-489 - 2013
- [c8]Ravindra B. Patil, Ranjan Piyush, S. Ramakrishnan:
Identification of brain white matter regions for diagnosis of Alzheimer using Diffusion Tensor Imaging. EMBC 2013: 6535-6538 - 2012
- [c7]Hersh J. Parmar, S. Ramakrishnan:
An Approach to CT Stomach Image Segmentation Using Modified Level Set Method. ACIIDS (2) 2012: 227-233 - [c6]J. Sivakamasundari, Ganesan Kavitha, V. Natarajan, Swaminathan Ramakrishnan:
Content Based Human Retinal Image Retrieval Using Vascular Feature Extraction. ACIIDS (2) 2012: 468-476 - [c5]Ebenezer Priya, Subramanian Srinivasan, Swaminathan Ramakrishnan:
Classification of Tuberculosis Digital Images Using Hybrid Evolutionary Extreme Learning Machines. ICCCI (1) 2012: 268-277 - [c4]Nadaradjane Sri Madhava Raja, Ganesan Kavitha, Swaminathan Ramakrishnan:
Analysis of Vasculature in Human Retinal Images Using Particle Swarm Optimization Based Tsallis Multi-level Thresholding and Similarity Measures. SEMCCO 2012: 380-387 - [c3]Thomas Christy Bobby, Swaminathan Ramakrishnan:
Characterization of Trabecular Architecture in Human Femur Radiographic Images Using Directional Multiresolution Transform and AdaBoost Model. SEMCCO 2012: 594-601 - 2011
- [j5]Kavitha Anandan, Sujatha C. Manoharan, Swaminathan Ramakrishnan:
Evaluation of Flow-Volume Spirometric Test Using Neural Network Based Prediction and Principal Component Analysis. J. Medical Syst. 35(1): 127-133 (2011) - [c2]Ebenezer Priya, Subramanian Srinivasan, Swaminathan Ramakrishnan:
Differentiation of digital TB images using multi-fractal analysis. CCECE 2011: 1431-1434 - 2010
- [j4]Ganesan Kavitha, Swaminathan Ramakrishnan:
An Approach to Identify Optic Disc in Human Retinal Images Using Ant Colony Optimization Method. J. Medical Syst. 34(5): 809-813 (2010)
2000 – 2009
- 2009
- [j3]Sujatha C. Manoharan, Swaminathan Ramakrishnan:
Prediction of Forced Expiratory Volume in Pulmonary Function Test using Radial Basis Neural Networks and k-means Clustering. J. Medical Syst. 33(5): 347-351 (2009) - [c1]Ganesan Kavitha, Swaminathan Ramakrishnan:
Identification and Analysis of Macula in Retinal Images using Ant Colony Optimization based Hybrid Method. NaBIC 2009: 1174-1177 - 2008
- [j2]Joseph Jesu Christopher, Swaminathan Ramakrishnan:
Assessment and Classification of Mechanical Strength Components of Human Femur Trabecular Bone Using Texture Analysis and Neural Network. J. Medical Syst. 32(2): 117-122 (2008) - 2007
- [j1]Mahesh Veezhinathan, Swaminathan Ramakrishnan:
Detection of Obstructive Respiratory Abnormality Using Flow-Volume Spirometry and Radial Basis Function Neural Networks. J. Medical Syst. 31(6): 461-465 (2007)
Coauthor Index
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For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
