Prasanth Thangavel

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Justin DauwelsDelft University of TechnologyE-mailová adresa ověřena na: tudelft.nl
John ThomasDuke UniversityE-mailová adresa ověřena na: e.ntu.edu.sg
YUVARAJ RAJAMANICKAMNanyang Technological UniversityE-mailová adresa ověřena na: ntu.edu.sg
Sydney S. CashAssociate Professor, Department of Neurology, Massachusetts General Hospital and Harvard UniversityE-mailová adresa ověřena na: mgh.harvard.edu
M. Brandon Westover, MD, PhDHarvard Medical School / Massachusetts General HospitalE-mailová adresa ověřena na: mgh.harvard.edu
Peh Wei YanNanyang Technological UniversityE-mailová adresa ověřena na: e.ntu.edu.sg
Dr. Vinay SainiSenior Scientist, BSBE, IIT Bombay MumbaiE-mailová adresa ověřena na: iitb.ac.in
Rohit Srivastava, FNASc, FNAE, FAMSVigyan Shri 2024, SSB Prize 2021 and Himanshu Patel Chair Professor of Department BSBEE-mailová adresa ověřena na: iitb.ac.in
Jac Fredo Agastinose RonickomAssociate Professor, Indian Institute of Technology (BHU), Varanasi.E-mailová adresa ověřena na: itbhu.ac.in

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Prasanth Thangavel

Senior Data Scientist @ Grab

E-mailová adresa ověřena na: e.ntu.edu.sg

Artificial Intelligence Machine Learning Data Analystics Epilepsy


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
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	81	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	65	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	45	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	32	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	31	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	21	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	15	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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