| Survey of using GPU CUDA programming model in medical image analysis T Kalaiselvi, P Sriramakrishnan, K Somasundaram Informatics in Medicine Unlocked 9, 133-144, 2017 | 90 | 2017 |
| Deriving tumor detection models using convolutional neural networks from MRI of human brain scans T Kalaiselvi, ST Padmapriya, P Sriramakrishnan, K Somasundaram International Journal of Information Technology 12 (2), 403-408, 2020 | 79 | 2020 |
| Knowledge based fuzzy c-means method for rapid brain tissues segmentation of magnetic resonance imaging scans with CUDA enabled GPU machine P Valsalan, P Sriramakrishnan, S Sridhar, GCP Latha, A Priya, ... Journal of Ambient Intelligence and Humanized Computing, 1-14, 2020 | 53 | 2020 |
| Modified local ternary patterns technique for brain tumour segmentation and volume estimation from MRI multi-sequence scans with GPU CUDA machine P Sriramakrishnan, T Kalaiselvi, R Rajeswaran Biocybernetics and Biomedical Engineering 39 (2), 470-487, 2019 | 50 | 2019 |
| Three-phase automatic brain tumor diagnosis system using patches based updated run length region growing technique T Kalaiselvi, P Kumarashankar, P Sriramakrishnan Journal of digital imaging 33 (2), 465-479, 2020 | 35 | 2020 |
| Development of automatic glioma brain tumor detection system using deep convolutional neural networks T Kalaiselvi, T Padmapriya, P Sriramakrishnan, V Priyadharshini International Journal of Imaging Systems and Technology 30 (4), 926-938, 2020 | 28 | 2020 |
| Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine T Kalaiselvi, P Sriramakrishnan International Journal of Imaging Systems and Technology 28 (3), 163-174, 2018 | 18 | 2018 |
| Brain tumor detection from multimodal MRI brain images using pseudo coloring processes T Kalaiselvi, P Kumarashankar, P Sriramakrishnan, S Karthigaiselvi Procedia Computer Science 165, 173-181, 2019 | 17 | 2019 |
| An medical image file formats and digital image conversion P Sriramakrishnan, T Kalaiselvi, ST Padmapriya, N Shanthi, S Ramkumar, ... Int. J. Eng. Adv. Technol 9 (1S3), 74-78, 2019 | 16 | 2019 |
| ASimple Image Processing Approach To Abnormal Slices Detection from MRI Tumor Volumes T Kalaiselvi, PNP Sriramakrishnan | 15 | 2016 |
| Automatic brain tissues segmentation based on self initializing K-means clustering technique T Kalaiselvi, N Kalaichelvi, P Sriramakrishnan International Journal of Intelligent Systems and Applications 9 (11), 52, 2017 | 12 | 2017 |
| Performance of medical image processing algorithms implemented in CUDA running on GPU based machine T Kalaiselvi, P Sriramakrishnan, K Somasundaram International Journal of Intelligent Systems and Applications 10 (1), 58, 2018 | 11 | 2018 |
| Brain abnormality detection from MRI of human head scans using the bilateral symmetry property and histogram similarity measures T Kalaiselvi, P Sriramakrishnan, K Somasundaram 2016 International Computer Science and Engineering Conference (ICSEC), 1-6, 2016 | 11 | 2016 |
| Brain tumor boundary detection by edge indication map using Bi-Modal fuzzy histogram thresholding technique from MRI T2-weighted scans T Kalaiselvi, P Sriramakrishnan, P Nagaraja International Journal of Image, Graphics and Signal Processing 8 (9), 51, 2016 | 11 | 2016 |
| Advancements of MRI-based brain tumor segmentation from traditional to recent trends: a review T Padmapriya, P Sriramakrishnan, T Kalaiselvi, K Somasundaram Current Medical Imaging 18 (12), 1261-1275, 2022 | 9 | 2022 |
| A rapid knowledge‐based partial supervision fuzzy c‐means for brain tissue segmentation with CUDA‐enabled GPU machine P Sriramakrishnan, T Kalaiselvi, K Somasundaram, R Rajeswaran International Journal of Imaging Systems and Technology 29 (4), 547-560, 2019 | 9 | 2019 |
| Performance Analysis of Morphological Operations in CPU and GPU for Accelerating Digital image Applications T Kalaiselvi, P Sriramakrishnan, K Somasundaram | 9 | 2016 |
| Novel statistical feature for brain abnormality detection process in image mines of MRI head volumes T Kalaiselvi, P Kumarashankar, P Sriramakrishnan, P Nagaraja National Conference on Recent Advances in Computer Science and Applications …, 2015 | 9 | 2015 |
| Tumorous slices classification from MRI brain volumes using block based features extraction and random forest classifier P Sriramakrishnan, T Kalaiselvi, P Nagaraja, K Mukila Int. J. Comput. Sci. Eng 6, 191-196, 2018 | 6 | 2018 |
| ROI Based Hybrid Compression Techniques for Transferring MRI Brain Images T Kalaiselvi, S Boopathiraja, P Sriramakrishnan | 6 | 2016 |
T. KalaiselviFaculty, Gandhigram Rural Institute在 ruraluniv.ac.in 的电子邮件经过验证
