Padmanaban Sriramakrishnan

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 5

Top Topics

Magnetic Resonance

Tissue Segmentation

Top Venues

Int. J. Imaging Syst. Technol.

Concurr. Comput. Pract. Exp.

J. Digit. Imaging

Publications

Kalaiselvi Thiruvenkadam, Kalaichelvi Nagarajan, Padmanaban Sriramakrishnan
An automatic self-initialized clustering method for brain tissue segmentation and pathology detection from magnetic resonance human head scans with graphics processing unit machine. Concurr. Comput. Pract. Exp. 33 (6) (2021)
T. Kalaiselvi, P. Kumarashankar, Padmanaban Sriramakrishnan
Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique. J. Digit. Imaging 33 (2) (2020)
Kalaiselvi Thiruvenkadam, Thiyagarajan Padmapriya, Padmanaban Sriramakrishnan, Venugopal Priyadharshini
Development of automatic glioma brain tumor detection system using deep convolutional neural networks. Int. J. Imaging Syst. Technol. 30 (4) (2020)
Padmanaban Sriramakrishnan, Kalaiselvi Thiruvenkadam, Karuppana Gounder Somasundaram, Rajeswaran Rangasami
A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine. Int. J. Imaging Syst. Technol. 29 (4) (2019)
T. Kalaiselvi, Padmanaban Sriramakrishnan
Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine. Int. J. Imaging Syst. Technol. 28 (3) (2018)