M. Pallikonda Rajasekaran

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 11

Top Topics

Magnetic Resonance

Tissue Segmentation

Top Venues

IET Image Process.

J. Comput. Sci.

Publications

Vishnuvarthanan Govindaraj, Arunprasath Thiyagarajan, M. Pallikonda Rajasekaran, Yudong Zhang, Rajesh Krishnasamy
Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI). IET Image Process. 14 (14) (2020)
M. Thilagaraj, M. Pallikonda Rajasekaran, N. Arun Kumar
Tsallis entropy: as a new single feature with the least computation time for classification of epileptic seizures. Clust. Comput. 22 (6) (2019)
M. Thilagaraj, M. Pallikonda Rajasekaran
An empirical mode decomposition (EMD)-based scheme for alcoholism identification. Pattern Recognit. Lett. 125 (2019)
V. Muneeswaran, M. Pallikonda Rajasekaran
Automatic segmentation of gallbladder using bio-inspired algorithm based on a spider web construction model. J. Supercomput. 75 (6) (2019)
Junwei Li, S. Ramkumar, G. Emayavaramban, D. Franklin Vinod, M. Thilagaraj, V. Muneeswaran, M. Pallikonda Rajasekaran, V. Venkataraman, Ahmed Faeq Hussein
Brain Computer Interface for Neurodegenerative Person Using Electroencephalogram. IEEE Access 7 (2019)
N. Pothirasan, M. Pallikonda Rajasekaran, V. Muneeswaran
Real time reactive power compensation for battery/photovoltaic hybrid power source for internet of hybrid electric vehicle system. Cogn. Syst. Res. 52 (2018)
Gu Jialu, S. Ramkumar, G. Emayavaramban, M. Thilagaraj, V. Muneeswaran, M. Pallikonda Rajasekaran, Ahmed Faeq Hussein
Offline Analysis for Designing Electrooculogram Based Human Computer Interface Control for Paralyzed Patients. IEEE Access 6 (2018)
Anitha Vishnuvarthanan, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Yudong Zhang, Arunprasath Thiyagarajan
Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1 - W, T2 - W, FLAIR and MPR type magnetic resonance brain images. Expert Syst. Appl. 95 (2018)
Anitha Vishnuvarthanan, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Yudong Zhang, Arunprasath Thiyagarajan
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images. Appl. Soft Comput. 57 (2017)
V. Muneeswaran, M. Pallikonda Rajasekaran
Analysis of Particle Swarm Optimization Based 2D FIR Filter for Reduction of Additive and Multiplicative Noise in Images. ICTCSDM (2016)
Balasubramani Perumal, M. Pallikonda Rajasekaran, Thiyagarajan Arun Prasath
Efficient Hybrid Approach for Compression of Multi Modal Medical Images. ICTCSDM (2016)
S. Suma Christal Mary, M. Pallikonda Rajasekaran, Y. ChrisbinJeeva
A Novel Approach for Information Security in Ad Hoc Networks through Secure Key Management. J. Comput. Sci. 9 (11) (2013)