| Characterization of CT Cancer Lung image using image compression algorithms and Feature Extraction R Pandian, T Vigneswaran, S Lalithakumari NISCAIR-CSIR, India, 2016 | 24 | 2016 |
| ARTIFICIAL NEURAL NETWORK BASED CLASSIFICATION OF AUSTENITIC STAINLESS STEEL WELD DEFECTS IN TOFD TECHNIQUE S Lalithakumari, B Sheelarani, B Venkatraman Indian Journal of Computer Science and Engineering (IJCSE) 2 (6), 2011 | 18* | 2011 |
| Artificial Neural Network based Defect Detection of Welds in TOFD Technique S Lalithakumari, B Sheelarani, B Venkatraman International Journal of Computer Applications 41 (20), 2012 | 12 | 2012 |
| CT image for lung cancer identification R Pandian, L Kumari Research Journal of Pharmacy and Technology 9 (12), 2359, 2016 | 11 | 2016 |
| Selection of optimum compression algorithms based on the characterization on feasibility for medical image S Lalithakumari, J Rani, D Vinothkumar, A Sneha, B Joe Biomedical Research 28 (13), 5633-5637, 2017 | 10 | 2017 |
| Design and performance analysis of smart photonic sensors for industrial applications S Poonguzhali, A Sivasangari, P Ajitha, S Lalithakumari, A Sridevi, ... Current Applied Physics 39, 183-189, 2022 | 9 | 2022 |
| Efficient Medical Image Fusion Using 2-Dimensional Double Density Wavelet Transform to Improve Quality Metrics VA Rani, S Lalithakumari IEEE Instrumentation & Measurement Magazine 24 (4), 35-41, 2021 | 8 | 2021 |
| Recent Medical Image Fusion Techniques: A Review. V Amala Rani, S Lalithakumari Indian Journal of Public Health Research & Development 10 (7), 2019 | 8 | 2019 |
| Effects of Decomposition Levels of Wavelets in Image Compression Algorithms R Pandian, T Vigneswara, SL Kumari Journal of Biomedical Sciences 5 (4), 29, 2016 | 7 | 2016 |
| Feed forward neural network based automatic detection of liver in computer tomography images SN Kumar, AL Fred, SL Kumari, SM Anchalo Bensiger Int. J. PharmTech Res 9 (5), 231-239, 2016 | 7 | 2016 |
| Phased Array Ultrasonic Test Signal Enhancement and Classification Using Empirical Wavelet Transform And Deep Convolution Neural Network JC Jayasudha, S Lalithakumari | 6* | 2021 |
| Discrete Wavelet Transform based Denoising of TOFD Signals of Austenitic Stainless Steel Weld at Elevated Temperature S Lalithakumari, R Pandian Russian Journal of Nondestructive Testing, 55 (5), 363-368, 0 | 6* | |
| Analysis of multi scale features of compressed medical images L Kumari, R Pandian, JA Glenn 2016 International Conference on Electrical, Electronics, and Optimization …, 2016 | 5 | 2016 |
| Investigation of electromagnetic wave propagation in a defected photonic crystal square lattice structure EC Britto, SK Danasegaran, SC Xavier, S Lalithakumari Journal of Electronic Materials 52 (2), 1177-1185, 2023 | 4 | 2023 |
| Weld defect segmentation and feature extraction from the acquired phased array scan images JC Jayasudha, S Lalithakumari Multimedia Tools and Applications, 1-14, 2022 | 4 | 2022 |
| A Hybrid Fusion Model for Brain Tumor Images of MRI and CT VA Rani, S Lalithakumari 2020 International Conference on Communication and Signal Processing (ICCSP …, 2020 | 4 | 2020 |
| Pre processing of ultrasonic signals austenitic stainless steel weld at high temperature S Lalithakumari, R Pandian Materials Today: Proceedings, 2019 | 4 | 2019 |
| Study of acoustic emission signals in continuous monitoring—A review ME Sherine, SL Kumari 2017 International Conference on Circuit, Power and Computing Technologies …, 2017 | 4 | 2017 |
| Classification of tofd signals by artificial neural network S Lalithakumari, B Bseelarani, B Venkatraman 18th World Conference on Nondestructive Testing, 2012 | 4 | 2012 |
| A Novel Reconfigurable Antenna Architecture for Wireless Applications S Poonguzhali, A Sivasangari, S Lalithakumari, DS Kumar 2022 International Conference on Smart Technologies and Systems for Next …, 2022 | 3 | 2022 |
