Segmentation by fractional order darwinian particle swarm optimization based multilevel thresholding and improved lossless prediction based compression algorithm for medical images A Ahilan, G Manogaran, C Raja, S Kadry, SN Kumar, CA Kumar, T Jarin, ... Ieee Access 7, 89570-89580, 2019 | 140 | 2019 |
A study on ECG signal characterization and practical implementation of some ECG characterization techniques A Appathurai, JJ Carol, C Raja, SN Kumar, AV Daniel, AJG Malar, ... Measurement 147, 106384, 2019 | 64 | 2019 |
Suspicious lesion segmentation on brain, mammograms and breast MR images using new optimized spatial feature based super-pixel fuzzy c-means clustering SN Kumar, AL Fred, PS Varghese Journal of digital imaging 32, 322-335, 2019 | 39 | 2019 |
An Overview of Segmentation Algorithms for the Analysis of Anomalies on Medical Images SN Kumar, AL Fred, PS Varghese Journal of Intelligent Systems, 2018 | 37 | 2018 |
A voyage on medical image segmentation algorithms SV Kumar SN, Lenin Fred A, Muthukumar , Ajay Kumar Biomedical Research 28 (Special), 1-13, 2017 | 37* | 2017 |
A brief introduction to magnetoencephalography (MEG) and its clinical applications AL Fred, SN Kumar, A Kumar Haridhas, S Ghosh, ... Brain sciences 12 (6), 788, 2022 | 33 | 2022 |
Fuzzy-crow search optimization for medical image segmentation A Lenin Fred, SN Kumar, P Padmanaban, B Gulyas, H Ajay Kumar Applications of hybrid metaheuristic algorithms for image processing, 413-439, 2020 | 32 | 2020 |
Performance metric evaluation of segmentation algorithms for gold standard medical images SN Kumar, A Lenin Fred, H Ajay Kumar, P Sebastin Varghese Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th …, 2018 | 24 | 2018 |
K-means clustering and SVM for plant leaf disease detection and classification FAP Rani, SN Kumar, AL Fred, C Dyson, V Suresh, PS Jeba 2019 International Conference on Recent Advances in Energy-efficient …, 2019 | 19 | 2019 |
Robust Alzheimer’s disease Classification Based on Multimodal Neuroimaging Akhila D B, Shobhana S, A. L. Fred and S. N. Kumar 2016 IEEE International Conference on Engineering and Technology (ICETECH …, 2016 | 18* | 2016 |
ROI extraction in CT lung images of COVID-19 using Fast Fuzzy C means clustering SN Kumar, A Ahilan, AL Fred, HA Kumar Biomedical Engineering Tools for Management for Patients with COVID-19, 103-119, 2021 | 16 | 2021 |
Compression of CT images using contextual vector quantization with simulated annealing for telemedicine application SN Kumar, A Lenin Fred, P Sebastin Varghese Journal of Medical Systems 42 (11), 218, 2018 | 15 | 2018 |
Gaussian Hermite polynomial based lossless medical image compression SN Kumar, A Ahilan, AK Haridhas, J Sebastian Multimedia Systems 27 (1), 15-31, 2021 | 14 | 2021 |
Lossless compression of CT images by an improved prediction scheme using least square algorithm SN Kumar, AL Fred, HA Kumar, PS Varghese Circuits, Systems, and Signal Processing 39 (2), 522-542, 2020 | 13 | 2020 |
Automatic segmentation of lung lobes and fissures for surgical planning VK S N Kumar International Conference on Emerging Trends in Electrical and Computer …, 2011 | 13 | 2011 |
Bat optimization-based vector quantization algorithm for compression of CT medical images SN Kumar, A Lenin Fred, H Ajay Kumar, P Sebastin Varghese, AV Daniel ICTMI 2017: Proceedings of the International Conference on Translational …, 2019 | 12 | 2019 |
Firefly optimization based improved fuzzy clustering for CT/MR image segmentation SN Kumar, A Lenin Fred, H Ajay Kumar, P Sebastin Varghese Nature inspired optimization techniques for image processing applications, 1-28, 2019 | 12 | 2019 |
2d lorentz chaotic model coupled with logistic chaotic model for medical image encryption: Towards ensuring security for teleradiology S John, SN Kumar Procedia Computer Science 218, 918-926, 2023 | 11 | 2023 |
Bat optimization based vector quantization algorithm for medical image compression AL Fred, SN Kumar, H Ajay Kumar, W Abisha Nature inspired optimization techniques for image processing applications, 29-54, 2019 | 11 | 2019 |
Deep learning algorithms in medical image processing for cancer diagnosis: Overview, challenges and future SN Kumar, A Lenin Fred, P Padmanabhan, B Gulyas, H Ajay Kumar, ... Deep learning for cancer diagnosis, 37-66, 2021 | 10 | 2021 |