Padmanaban Sriramakrishnan

According to our database, Padmanaban Sriramakrishnan authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2024

RIBM3DU-Net: Glioma tumour substructures segmentation in magnetic resonance images using residual-inception block with modified 3D U-Net architecture.

Syedsafi Shajahan, Padmanaban Sriramakrishnan, Kalaiselvi Thiruvenkadam

Int. J. Imaging Syst. Technol., 2024

2021

An automatic self-initialized clustering method for brain tissue segmentation and pathology detection from magnetic resonance human head scans with graphics processing unit machine.

Kalaiselvi Thiruvenkadam, Kalaichelvi Nagarajan, Padmanaban Sriramakrishnan

Concurr. Comput. Pract. Exp., 2021

2020

Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique.

T. Kalaiselvi, P. Kumarashankar, Padmanaban Sriramakrishnan

J. Digit. Imaging, 2020

Development of automatic glioma brain tumor detection system using deep convolutional neural networks.

Kalaiselvi Thiruvenkadam, Thiyagarajan Padmapriya, Padmanaban Sriramakrishnan, Venugopal Priyadharshini

Int. J. Imaging Syst. Technol., 2020

2019

A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine.

Padmanaban Sriramakrishnan, Kalaiselvi Thiruvenkadam, Karuppana Gounder Somasundaram, Rajeswaran Rangasami

Int. J. Imaging Syst. Technol., 2019

2018

Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine.

T. Kalaiselvi, Padmanaban Sriramakrishnan

Int. J. Imaging Syst. Technol., 2018