| Differentiation of early mild cognitive impairment in brainstem MR images using multifractal detrended moving average singularity spectral features P Rohini, S Sundar, S Ramakrishnan Biomedical Signal Processing and Control 57, 101780, 2020 | 14 | 2020 |
| Characterization of Alzheimer conditions in MR images using volumetric and sagittal brainstem texture features P Rohini, S Sundar, S Ramakrishnan Computer methods and programs in biomedicine 173, 147-155, 2019 | 13 | 2019 |
| An Approach to Differentiate Alzheimer’s Conditions using MR Image–based Zernike Moments and Fractal Features R Dadsena, R Palanisamy, AK Ramaniharan, R Swaminathan IEIE Transactions on Smart Processing & Computing 7 (3), 175-183, 2018 | 7 | 2018 |
| Pertinence of Textile‐Based Energy Harvesting System for Biomedical Applications SV Iyer, J George, S Sathiyamoorthy, R Palanisamy, A Majumdar, ... Journal of Nanomaterials 2022 (1), 7921479, 2022 | 5 | 2022 |
| Explainable optimized LightGBM based differentiation of mild cognitive impairment using MR Radiomic features S Shaji, R Palanisamy, R Swaminathan Advances in Informatics, Management and Technology in Healthcare, 483-486, 2022 | 5 | 2022 |
| Interpretation of ResNet50 model for MI related cardiac events using Explainable Grad-CAM approach C Apama, P Rohini, V Pandiyarasan Current Directions in Biomedical Engineering 8 (2), 723-726, 2022 | 4 | 2022 |
| Proposal of a Machine Learning Approach to Differentiate Mild and Alzheimer's Condition in MR Images Using Shape Changes in Corpus Callosum. R Dadsena, R Palanisamy, S Ramakrishnan EFMI-STC, 243-244, 2019 | 4 | 2019 |
| Prediction of Arousal and Valence State from Electrodermal Activity using Wavelet based ResNet50 Model A Anthiyur Aravindan, S Kalyan Chappidi, A Thumma, R Palanisamy Current Directions in Biomedical Engineering 9 (1), 555-558, 2023 | 2 | 2023 |
| Quality Evaluation of Laparoscopic Videos Using the Interdependency of Luminance and Texture Maps S Biswas, R Palanisamy 2023 10th International Conference on Signal Processing and Integrated …, 2023 | 2 | 2023 |
| An Approach for Improved Data matrix distortion correction using Median filtered Hough Transform S Prabhu, PS Ponduru, R Palanisamy 2022 IEEE 6th Conference on Information and Communication Technology (CICT), 1-5, 2022 | 2 | 2022 |
| Identification of EMCI in MR Brainstem Structure Using Fractal Measures and Random Forest Approach R Palanisamy, R Swaminathan Digital Personalized Health and Medicine, 1309-1310, 2020 | 2 | 2020 |
| Differentiation of EMCI in sMR images using segmented brainstem multifractal texture measures R Palanisamy, R Swaminathan, S Sundar Electronics Letters 55 (23), 1213-1214, 2019 | 2 | 2019 |
| Deep Learning Based Quality Prediction of Retinal Fundus Images M Bolla, S Biswas, R Palanisamy Current Directions in Biomedical Engineering 9 (1), 706-709, 2023 | 1 | 2023 |
| Quantitative ECG based emotion state recognition using Detrended Fluctuation Analysis M Anandan, P Veluswamy, R Palanisamy Current Directions in Biomedical Engineering 9 (1), 702-705, 2023 | 1 | 2023 |
| Structural irregularities in MR corpus callosal images and their association with cerebrospinal fluid biomarkers in Mild Cognitive Impairments S Shaji, R Palanisamy, R Swaminathan Neuroscience Letters 810, 137329, 2023 | 1 | 2023 |
| Smart Textile Materials for Monitoring ECG Signals JM Subashini, PP Padmaja, MK Mishra, R Palanisamy, P Veluswamy 2022 IEEE International Conference on Emerging Electronics (ICEE), 1-6, 2022 | 1 | 2022 |
| Interpretation and Assessment of Improved Deep Networks for the Classification of Glaucoma Using Explainable Grad-CAM Approach S Kalisapudi, R Palanisamy International Conference on Intelligent Computing and Communication, 601-610, 2022 | 1 | 2022 |
| Differentiation of Cell Painted Organelles Using Non Local Texture Descriptor and Random Forest Approach S Palliyil Sreekumar, R Palanisamy, R Swaminathan Challenges of Trustable AI and Added-Value on Health, 925-929, 2022 | 1 | 2022 |
| Comparison of Legendre and united moments in the classification of Alzheimer conditions using T1 weighted MR images R Dadsena, P Rohini, KR Anandh, S Ramakrishnan Electronics Letters 55 (8), 440-442, 2019 | 1 | 2019 |
| Fabrication and Analysis of Copper Textrode characteristics for Monitoring Heart Biopotentials during physical activity M Anandan, P Veluswamy, A Majumdar, R Palanisamy IEEE Sensors Letters, 2024 | | 2024 |
Pandiyarasan VeluswamyIndian Institute of Information Technology, Design, and Manufacturing (IIITDM) KancheepuramVerified email at iiitdm.ac.in
