Year : 2022
Advancements of MRI-based brain Tumor Segmentation from Traditional to Recent Trends- A Review
Cite this Research Publication : Kalaiselvi T, Padmapriya S T, Sriramakrishnan P, Somasundaram K., "Advancements of MRI-based brain Tumor Segmentation from Traditional to Recent Trends- A Review", Current Medical Imaging, Bentham Science, Vol. 18, No.12, pp. 1261-1275 , 2022. DOI: 10.2174/1573405617666211215111937
Year : 2021
An Automatic Self Initialized Clustering Method for Brain Tissue Segmentation and Pathology Detection from MR Human Head Scans
Cite this Research Publication : T. Kalaiselvi, N. Kalaichelvi, P. Sriramakrishnan, "An Automatic Self Initialized Clustering Method for Brain Tissue Segmentation and Pathology Detection from MR Human Head Scans", Concurrent and computation practice and experience, Vol. 33, No. 6, e6084, pp. 1-14, Mar 2021.
Year : 2020
Three-Phase Automatic Brain Tumor Diagnosis System using Patches based Updated Run Length Region Growing Technique
Cite this Research Publication : Kalaiselvi T, Kumarashankar P, Sriramakrishnan P, "Three-Phase Automatic Brain Tumor Diagnosis System using Patches based Updated Run Length Region Growing Technique", Journal of Digital Imaging, Vol. 33, pp. 465-479, 2020.
Year : 2020
Development of automatic glioma brain tumor detection system using deep convolutional neural networks
Cite this Research Publication : Kalaiselvi T, Padmapriya S T, Sriramakrishnan P, Priyadharshini V, "Development of automatic glioma brain tumor detection system using deep convolutional neural networks", International Journal of Imaging Systems and Technology, Vol. 30, No. 4, pp.926–938, 2020, Wiley Publisher, 1098-1098.
Year : 2020
Knowledge Based Fuzzy C-Means Method for Rapid Segmentation of Brain Tissues from Magnetic Resonance Imaging Scans using CPU and GPU Machine
Cite this Research Publication : Prajoona Valsalan, P. Sriramakrishnan, S. Sridhar, G. Charlyn Pushpa Latha, A. Priya, S. Ramkumar, A. Robert Singh, T. Rajendran, "Knowledge Based Fuzzy C-Means Method for Rapid Segmentation of Brain Tissues from Magnetic Resonance Imaging Scans using CPU and GPU Machine", Journal of Ambient Intelligence and Humanized Computing, pp. 1-14, 2020.
Year : 2019
A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine
Cite this Research Publication : Sriramakrishnan P, Kalaiselvi T, Somasundaram K, Rajeshwaran R, "A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine", International Journal of Imaging Systems and Technology, Vol. 29, No. 4, pp. 547 - 560, November 2019, Wiley Publisher, 1098-1098.
Year : 2019
Modified Local Ternary Pattern Technique for Brain Tumor Segmentation and Volume Estimation from MRI Multisequence Scans with CUDA Enabled GPU Machine
Cite this Research Publication : Sriramakrishnan P, Kalaiselvi T and Rajeswaran R, "Modified Local Ternary Pattern Technique for Brain Tumor Segmentation and Volume Estimation from MRI Multisequence Scans with CUDA Enabled GPU Machine", Biocybenatics and Biomedical Engineering, Vol. 39, Issue 2, pp. 470-487, April–June 2019, Elsevier Publisher, (IF. 5.687), ISSN: 0208-5216
Year : 2018
Rapid Brain Tissue Segmentation Process by Modified FCM Algorithm with CUDA Enabled GPU Machine
Cite this Research Publication : Kalaiselvi T and Sriramakrishnan P, "Rapid Brain Tissue Segmentation Process by Modified FCM Algorithm with CUDA Enabled GPU Machine", International Journal of Imaging Systems and Technology, Vol. 28, No. 3, pp. 163-174, September 2018, Wiley Publisher, 1098-1098.