M. Pallikonda Rajasekaran

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Magnetic Resonance

Mr Brain Images

Top Venues

Biomed. Signal Process. Control.

Int. J. Pattern Recognit. Artif. Intell.

J. Intell. Fuzzy Syst.

Adv. Eng. Softw.

Publications

Baiju Karun, Thiyagarajan Arun Prasath, M. Pallikonda Rajasekaran, Rakhee Makreri
Glioma detection using EHO based FLAME clustering in MR brain images. Int. J. Imaging Syst. Technol. 34 (1) (2024)
A. V. Nisha, M. Pallikonda Rajasekaran, Kottaimalai Ramaraj, Vishnuvarthanan Govindaraj, Thiyagarajan Arunprasath, V. Muneeswaran
Hybrid D-OCapNet: Automated Multi-Class Alzheimer's Disease Classification in Brain MRI Using Hybrid Dense Optimal Capsule Network. Int. J. Pattern Recognit. Artif. Intell. 37 (15) (2023)
M. Ramkumar, A. Lakshmi, M. Pallikonda Rajasekaran, A. Manjunathan
Multiscale Laplacian graph kernel features combined with tree deep convolutional neural network for the detection of ECG arrhythmia. Biomed. Signal Process. Control. 76 (2022)
R. Sindhiya Devi, Balasubramani Perumal, M. Pallikonda Rajasekaran
A robust hybrid fusion segmentation approach for automated tumor diagnosis and classification in brain MR images. J. Intell. Fuzzy Syst. 42 (6) (2022)
R. Sindhiya Devi, Balasubramani Perumal, M. Pallikonda Rajasekaran
A hybrid deep learning based brain tumor classification and segmentation by stationary wavelet packet transform and adaptive kernel fuzzy c means clustering. Adv. Eng. Softw. 170 (2022)
S. K. Rajeev, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Thiyagarajan Arunprasath
A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network. Biomed. Signal Process. Control. 78 (2022)