




1 | Dr. A. Lenin Fred, S.N Kumar, Parasuraman Padmanabhan, Balázs Gulyás, Ajay Kumar H |
Fuzzy Crow Search Optimization for Medical Image Segmentation https://link.springer.com/chapter/10.1007/978-3-030-40977-7_18 |
Applications of Hybrid Metaheuristic Algorithms for Image Processing, Springer | 890 | 413-439 | 2020 |
2 | Dr. A. Lenin Fred, S.N Kumar, Parasuraman Padmanabhan, Balázs Gulyás, Ajay Kumar H |
Analysis of Segmentation Algorithms for Detection of Anomalies in MR Brain Images https://link.springer.com/chapter/10.1007/978-981-15-3992-3_11 |
Advances in Communication Systems and Networks, Springer | 656 | 129-146 | 2020 |
3 | S.N Kumar, Dr. A. Lenin Fred, Ajay Kumar H, Parasuraman Padmanabhan, Balázs Gulyás |
Multilevel Thresholding using Crow Search Optimization for Medical Images https://www.degruyter.com/document/doi/10.1515/9783110671353-014/pdf |
Computational Intelligence, De Gruyter | - | 231-258 | 2020 |
4 | S.N Kumar, Dr. A. Lenin Fred, L. R. Jonisha Miriam, Ajay Kumar H, Parasuraman Padmanabhan, Balázs Gulyás |
Adaptive Regularized Gaussian Kernel FCM for the Segmentation of Medical Images, An Artificial Intelligence based IoT Implementation for Teleradiology Network https://www.taylorfrancis.com/chapters/edit/10.1201/9781003007265-1/adaptive-regularized-gaussian-kernel-fcm-segmentation-medical-images-kumar-lenin-fred-jonisha-miriam-ajay-kumar-parasuraman-padmanabhan-balazs-gulyas |
Artificial Intelligence Techniques in IoT Sensor Networks, Chapman and Hall/CRC | - | 1-17 | 2020 |
5 | S.N Kumar, Dr. A. Lenin Fred, Parasuraman Padmanabhan, Balázs Gulyás, Ajay Kumar H, L. R. Jonisha Miriam |
Deep Learning Algorithms in Medical Image Processing for Cancer Diagnosis: Overview, Challenges and Future https://link.springer.com/chapter/10.1007/978-981-15-6321-8_3 |
Deep Learning for Cancer Diagnosis, Springer | 908 | 37-66 | 2021 |
6 | S.N Kumar, Dr. A. Lenin Fred, L. R. Jonisha Miriam, Parasuraman Padmanabhan, Balázs Gulyás, Ajay Kumar H |
Non Linear Tensor Diffusion based Unsharp Masking for Filtering of COVID-19 CT Images https://link.springer.com/chapter/10.1007/978-981-15-8534-0_22 |
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis, Springer | 923 | 415-436 | 2021 |
7 | S.N Kumar, Dr. A. Lenin Fred, Parasuraman Padmanabhan, Balázs Gulyás, Charles Dyson, R. Melba Kani, Ajay Kumar H |
Multimedia based Learning Tools and its Scope, Applications for Virtual Learning Environment https://link.springer.com/chapter/10.1007/978-981-15-8744-3_3 |
Computational Intelligence in Digital Pedagogy, Springer | 197 | 47-63 | 2021 |
8 | S.N Kumar, Dr. A. Lenin Fred, Parasuraman Padmanabhan, Balázs Gulyás, Ajay Kumar H |
A Novel Neutrosophic Approach based Filtering and Gaussian Mixture Modeling Clustering for CT/MR Images https://www.degruyter.com/document/doi/10.1515/9783110668322-007/pdf |
Artificial Intelligence for Data-Driven Medical Diagnosis, De Gruyter | - | 143-166 | 2021 |
9 | S.N Kumar, Dr. A. Lenin Fred, L. R. Jonisha Miriam, Ajay Kumar H, Parasuraman Padmanabhan, Balázs Gulyás |
Improved FCM based on Gaussian Kernel and Crow Search Optimization for ROI Extraction on Corona Virus Disease (COVID-19) CT Images https://www.taylorfrancis.com/chapters/edit/10.1201/9781003146988-12/improved-fcm-based-gaussian-kernel-crow-search-optimization-roi-extraction-corona-virus-disease-covid-19-ct-images-kumar-lenin-fred-jonisha-miriam-ajay-kumar-parasuraman-padmanabhan-bal%C3%A1zs-guly%C3%A1s |
Translational Bioinformatics Applications in Healthcare, CRC Press | - | 173-192 | 2021 |
10 | Dr. A. Lenin Fred, L. R. Jonisha Miriam, S.N Kumar, Ajay Kumar H, Parasuraman Padmanabhan, Balázs Gulyás |
Lossless Medical Image Compression using Hybrid Block based Algorithm for Telemedicine Application https://www.taylorfrancis.com/chapters/edit/10.1201/9781003146988-11/lossless-medical-image-compression-using-hybrid-block-based-algorithm-telemedicine-application-lenin-fred-jonisha-miriam-kumar-ajay-kumar-parasuraman-padmanabhan-bal%C3%A1zs-guly%C3%A1s |
Translational Bioinformatics Applications in Healthcare, CRC Press | - | 147-171 | 2021 |
11 | S.N Kumar, Dr. A. Lenin Fred, L. R. Jonisha Miriam, Ajay Kumar H, Parasuraman Padmanabhan, Balázs Gulyás |
Region of Interest Detection in COVID-19 CT Images using Neutrosophic Logic https://www.taylorfrancis.com/chapters/edit/10.1201/9781003161066-19/region-interest-detection-covid-19-ct-images-using-neutrosophic-logic-kumar-lenin-fred-jonisha-miriam-ajay-kumar-parasuraman-padmanabhan-balazs-gulyas |
Health Informatics and Technological Solutions for Coronavirus (COVID-19), CRC Press | - | 19 | 2021 |
12 | S.N Kumar, Dr. A. Lenin Fred, Parasuraman Padmanabhan, Balázs Gulyás, Ajay Kumar H, Nisha Dayana |
Multiclass SVM Coupled with Optimization Techniques for Segmentation and Classification of Medical Images https://www.sciencedirect.com/science/article/pii/B9780128222713000116 |
Handbook of Decision Support Systems for Neurological Disorders, Elsevier | - | - | 2021 |
13 | Dr. A. Lenin Fred, S.N Kumar, Parasuraman Padmanabhan, Balázs Gulyás, Ajay Kumar H, Nisha Dayana |
Multiview Decision Tree based Segmentation of Tumors in MR Brain Medical Images https://www.sciencedirect.com/science/article/pii/B9780128222713000128 |
Handbook of Decision Support Systems for Neurological Disorders, Elsevier | - | - | 2021 |
14 | S.N Kumar, Dr. A. Lenin Fred, P. Sebastin Varghese |
Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images using New Optimized Spatial Feature based Super-pixel Fuzzy c-means Clustering https://pubmed.ncbi.nlm.nih.gov/30402671/ |
Journal of Digital Imaging | 32(2) | 322-335 | 2019 |
15 | S.N Kumar, Dr. A. Lenin Fred, Ajay Kumar H, P. Sebastin Varghese |
Lossless Compression of CT Images by an Improved Prediction Scheme using Least Square Algorithm https://link.springer.com/article/10.1007/s00034-019-01152-8 |
Circuits, Systems, and Signal Processing | - | 1-21 | 2019 |
16 | Dr. A. Lenin Fred, S.N Kumar, Ajay Kumar H, Abisha W |
Bat Optimization based Vector Quantization Algorithm for Medical Image Compression https://link.springer.com/chapter/10.1007/978-3-319-96002-9_2 |
In Nature Inspired Optimization Techniques for Image Processing Applications, Springer | - | 29-54 | 2019 |
17 | S.N Kumar, Dr. A. Lenin Fred, Ajay Kumar H, P. Sebastin Varghese |
Firefly Optimization based Improved Fuzzy Clustering for CT/MR Image Segmentation https://link.springer.com/chapter/10.1007/978-3-319-96002-9_1 |
In Nature Inspired Optimization Techniques for Image Processing Applications, Springer | - | 1-28 | 2019 |
18 | S.N Kumar, Dr. A. Lenin Fred, P. Sebastin Varghese |
Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application https://link.springer.com/article/10.1007/s10916-018-1090-7 |
Journal of medical systems | 42(11) | 218 | 2018 |
19 | S.N Kumar, Dr. A. Lenin Fred, Ajay Kumar H, P. Sebastin Varghese |
Performance Metric Evaluation of Segmentation Algorithms for Gold Standard Medical Images https://link.springer.com/chapter/10.1007/978-981-10-8633-5_45 |
In Recent Findings in Intelligent Computing Techniques, Springer | - | 457-469 | 2018 |
20 | S.N Kumar, Dr. A. Lenin Fred, Ajay Kumar H, P. Sebastin Varghese |
Nonlinear Tensor Diffusion Filter based Marker-Controlled Watershed Segmentation for CT/MR images https://link.springer.com/chapter/10.1007/978-981-10-6319-0_27 |
In Proceedings of International Conference on Computational Intelligence and Data Engineering | - | 317-331 | 2018 |
21 | S.N Kumar, Dr. A. Lenin Fred, P. Sebastin Varghese |
An Overview of Segmentation Algorithms for the Analysis of Anomalies on Medical Images https://www.degruyter.com/document/doi/10.1515/jisys-2017-0629/html |
Journal of Intelligent Systems | - | 1 | 2018 |
22 | Dr. A. Lenin Fred, L. R. Jonisha Miriam, S.N Kumar, Ajay Kumar H |
A Framework of Image Denoising Algorithm https://www.semanticscholar.org/paper/A-Framework-of-Image-Denoising-Algorithms-Fred-Miriam/289fed9e370e06852326936f19ee4da3ed8ff0ca |
Research Journal of Pharmaceutical, Biological and Chemical Sciences | 8(3) | - | 2017 |
23 | S.N Kumar, Dr. A. Lenin Fred, Muthukumar S, Ajay Kumar H, Sebastian Varghese P |
A Voyage on Medical Image Segmentation Algorithms https://www.researchgate.net/publication/330040492_A_voyage_on_medical_image_segmentation_algorithms |
Biomedical Research | 28 | 1-13 | 2017 |
24 | S.N Kumar, Dr. A. Lenin Fred, Ajay Kumar H, Sebastian Varghese P |
Medical Image Edge Detection using Hybrid Entropy Multi-thresholding Approach https://www.rjpbcs.com/pdf/2017_8(2)/[30].pdf |
Research Journal of Pharmaceutical, Biological and Chemical Sciences | 8(2) | - | 2017 |
25 | S.N Kumar, Dr. A. Lenin Fred, Ajay Kumar H, Sebastian Varghese P |
Medical Image Edge Detection using Gauss Gradient Operator https://www.jpsr.pharmainfo.in/Documents/Volumes/vol9Issue05/jpsr09051731.pdf |
Journal of Pharmaceutical Sciences and Research | 9(5) | 695 | 2017 |
26 | S.N Kumar, Dr. A. Lenin Fred, S. Lalitha Kumari, Sebastian Varghese P |
Localized Region based Active Contour Algorithm for Segmentation of Abdominal Organs and Tumors in Computer Tomography Images https://www.medwelljournals.com/abstract/?doi=ajit.2016.4783.4789 |
Asian Journal of Information Technology | 15(23) | 4783-4789 | 2016 |
27 | S.N Kumar, Dr. A. Lenin Fred, Ajay Kumar H, L. R. Jonisha Miriam, Asha M. R |
Retinal Blood Vessel Extraction using Wavelet Transform and Morphological Operations https://www.rjpbcs.com/pdf/2016_7(5)/[187].pdf |
Research Journal of Pharmaceutical, Biological and Chemical Sciences | 7(5) | 1479-1487 | 2016 |
28 | S.N Kumar, Dr. A. Lenin Fred, S. Lalitha Kumari |
Segmentation of Abdominal Organs using Min cut/Max Flow Algorithm - An Application of Graph Theory | Global Journal of Pure and Applied Mathematics | 12(4) | 71-74 | 2016 |