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Computers in Biology and Medicine|August 25, 2022
MVME-RCMFDE framework for discerning hyper-responsivity in Autism Spectrum DisordersPriyalakshmi Sheela, Subha D PuthankattilComputers in Biology and Medicine|June 21, 2021
A noise-robust sparse approach to the time-frequency representation of visual evoked potentialsPriyalakshmi Sheela, Subha D PuthankattilJournal of Neuroscience Methods|February 23, 2020
A hybrid method for artifact removal of visual evoked EEGPriyalakshmi Sheela, Subha D PuthankattilInternational Journal of Developmental Neuroscience : the Official Journal of the International Society for Developmental Neuroscience|May 16, 2018
Event related potential analysis techniques for autism spectrum disorders: A reviewPriyalakshmi Sheela, Subha D PuthankattilNeuropsychologia|June 6, 2026
Leveraging Centrality Metrics for the Early Detection of DementiasS Sinumol, Suvish, Mehrdad Ghamari, et al.Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|March 14, 2025
Machine Learning-Based localization of the epileptogenic zone using High-Frequency oscillations from SEEG: A Real-World approachAswin Raghu, C P Nidhin, V S Sivabharathi, et al.Pageof 1