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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.org/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
[j40]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)- [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) - 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)
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-04-25 05:58 CEST by the dblp team
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