Prasanth Thangavel

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Coauteurs

Justin DauwelsDelft University of TechnologyAdresse e-mail validée de tudelft.nl
John ThomasMontreal Neurological InstituteAdresse e-mail validée de e.ntu.edu.sg
YUVARAJ RAJAMANICKAMNanyang Technological UniversityAdresse e-mail validée de ntu.edu.sg
Sydney S. CashAssociate Professor, Department of Neurology, Massachusetts General Hospital and Harvard UniversityAdresse e-mail validée de mgh.harvard.edu
M. Brandon Westover, MD, PhDHarvard Medical School / Massachusetts General HospitalAdresse e-mail validée de mgh.harvard.edu
Peh Wei YanNanyang Technological UniversityAdresse e-mail validée de e.ntu.edu.sg
Dr. Vinay SainiSenior Scientist, BSBE, IIT Bombay MumbaiAdresse e-mail validée de iitb.ac.in
Rohit Srivastava, FNASc, FRSC, FRSB...SSB Prize 2021 for Medical Sciences and Himanshu Patel Chair Professor of Department BSBEAdresse e-mail validée de iitb.ac.in
Jac Fredo Agastinose RonickomAssistant Professor, Indian Institute of Technology (BHU), Varanasi.Adresse e-mail validée de itbhu.ac.in

Suivre

Prasanth Thangavel

Senior Data Scientist @ Grab

Adresse e-mail validée de e.ntu.edu.sg

Artificial Intelligence Machine Learning Data Analystics Epilepsy


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Automated detection of interictal epileptiform discharges from scalp electroencephalograms by convolutional neural networks J Thomas, J Jin, P Thangavel, E Bagheri, R Yuvaraj, J Dauwels, ... International journal of neural systems 30 (11), 2050030, 2020	65	2020
Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation JFA Ronicko, J Thomas, P Thangavel, V Koneru, G Langs, J Dauwels Journal of Neuroscience Methods 345, 108884, 2020	53	2020
Automated adult epilepsy diagnostic tool based on interictal scalp electroencephalogram characteristics: A six-center study J Thomas, P Thangavel, WY Peh, J Jing, R Yuvaraj, SS Cash, ... International journal of neural systems 31 (05), 2050074, 2021	37	2021
Time–frequency decomposition of scalp electroencephalograms improves deep learning-based epilepsy diagnosis P Thangavel, J Thomas, WY Peh, J Jing, R Yuvaraj, SS Cash, ... International journal of neural systems 31 (08), 2150032, 2021	26	2021
Deep learning for interictal epileptiform spike detection from scalp EEG frequency sub bands T Prasanth, J Thomas, R Yuvaraj, J Jing, SS Cash, R Chaudhari, TY Leng, ... 2020 42nd annual international conference of the IEEE Engineering in …, 2020	25	2020
Six-center assessment of CNN-Transformer with belief matching loss for patient-independent seizure detection in EEG WY Peh, P Thangavel, Y Yao, J Thomas, YL Tan, J Dauwels International Journal of Neural Systems 33 (03), 2350012, 2023	12	2023
Improving automated diagnosis of epilepsy from EEGs beyond IEDs P Thangavel, J Thomas, N Sinha, WY Peh, R Yuvaraj, SS Cash, ... Journal of Neural Engineering 19 (6), 066017, 2022	10	2022
Multi-center assessment of CNN-transformer with belief matching loss for patient-independent seizure detection in scalp and intracranial EEG WY Peh, P Thangavel, Y Yao, J Thomas, YL Tan, J Dauwels	1	2022
Machine learning algorithms for diagnosis of epilepsy from EEG P Thangavel Nanyang Technological University, 2022		2022

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