Ramakrishnan Swaminathan

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Classification of indirect immunofluorescence images using thresholded local binary count features

Allmin Pradhap Singh Susaiyah, Suhail Parvaze Pathan, Ramakrishnan Swaminathan, 2016 .

A Proposal to Differentiate Homogenous and Speckled Shapes in Indirect Immunofluorescence Images Using Neutrosophic Sets

Ramakrishnan Swaminathan, Satyavratan Govindarajan, Neeraj Rajkumar Parmaar, 2019, ICBSP '19.

Segmentation of Breast Tissues in Infrared Images Using Modified Phase Based Level Sets

Ramakrishnan Swaminathan, Suganthi Salem Srinivasan, R. Swaminathan, 2013 .

An Approach to Differentiate Alzheimer’s Conditions using MR Image–based Zernike Moments and Fractal Features

Ramakrishnan Swaminathan, Ravi Dadsena, Rohini Palanisamy, 2018 .

Deep Learning on 1-D Biosignals: a Taxonomy-based Survey

Thomas M. Deserno, Ramakrishnan Swaminathan, Nagarajan Ganapathy, 2018, Yearbook of Medical Informatics.

Classification of Muscular Nonfatigue and Fatigue Conditions Using Surface EMG Signals and Fractal Algorithms

Kiran Marri, Ramakrishnan Swaminathan, 2016 .

Surface Electromyography-Based Muscle Fatigue Analysis Using Binary and Weighted Visibility Graph Features

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

Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks

Ramakrishnan Swaminathan, Satyavratan Govindarajan, 2020, Applied Intelligence.

Multifractal Analysis of Uterine Electromyography Signals for the Assessment of Progression of Pregnancy in Term Conditions

Ramakrishnan Swaminathan, Punitha Namadurai, Vardhini Padmanabhan, 2019, IEEE Journal of Biomedical and Health Informatics.

An automated classification of HEp-2 cellular shapes using Bag-of-keypoint features and Ant Colony Optimization

Ramakrishnan Swaminathan, Kavitha Ganesan, Kanchana Devanathan, 2021 .

Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach

P. A. Karthick, Ramakrishnan Swaminathan, Navaneethakrishna Makaram, 2021, IEEE Transactions on Instrumentation and Measurement.

A Systematic Review of Sensing and Differentiating Dichotomous Emotional States Using Audio-Visual Stimuli

Ramakrishnan Swaminathan, Nagarajan Ganapathy, Yedukondala Rao Veeranki, 2021, IEEE Access.

ROTATIONAL MOMENT SHAPE FEATURE EXTRACTION AND DECISION TREE BASED DISCRIMINATION OF MILD COGNITIVE IMPAIRMENT CONDITIONS USING MR IMAGE PROCESSING

Ramakrishnan Swaminathan, Ravi Dadsena, Deboleena Sadukhan, 2021, Biomedical Sciences Instrumentation.

Analysis of Fluctuation Patterns in Emotional States Using Electrodermal Activity Signals and Improved Symbolic Aggregate Approximation

Ramakrishnan Swaminathan, Nagarajan Ganapathy, Yedukondala Rao Veeranki, 2021, Fluctuation and Noise Letters.

Detection of Mild Cognitive Impairment using Kernel Density Estimation based texture analysis of the Corpus Callosum in brain MR images

Ramakrishnan Swaminathan, Deboleena Sadhukhan, Amrutha Veluppal, 2021, IRBM.

SEGMENTATION OF BRAIN STRUCTURES IN ALZHEIMER MR IMAGES USING SPATIAL FUZZY CLUSTERING LEVEL SET

Ramakrishnan Swaminathan, Sreelakshmi Shaji, 2021, Biomedical Sciences Instrumentation.

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

Ramakrishnan Swaminathan, Nagarajan Ganapathy, Yedukondala Rao Veeranki, 2021, Journal of Medical Systems.

DIFFERENTIATION OF DICHOTOMOUS EMOTIONAL STATES IN ELECTRODERMAL ACTIVITY SIGNALS USING HIGHER-ORDER CROSSING FEATURES AND PARAMETRIC CLASSIFIERS

Ramakrishnan Swaminathan, Nagarajan Ganapathy, Yedukondala Rao Veeranki, 2021, Biomedical Sciences Instrumentation.

Analyzing Origin of Multifractality of Surface Electromyography Signals in Dynamic Contractions

Kiran Marri, Ramakrishnan Swaminathan, K. Marri, 2015 .

Classification of Muscle Fatigue in Dynamic Contraction Using Surface Electromyography Signals and Multifractal Singularity Spectral Analysis

Kiran Marri, Ramakrishnan Swaminathan, K. Marri, 2016 .