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John Thomas
John Thomas
Montreal Neurological Institute
Verified email at e.ntu.edu.sg - Homepage
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Cited by
Year
Deep learning-based classification for brain-computer interfaces
J Thomas, T Maszczyk, N Sinha, T Kluge, J Dauwels
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
742017
EEG classification via convolutional neural network-based interictal epileptiform event detection
J Thomas, L Comoretto, J Jin, J Dauwels, SS Cash, MB Westover
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
502018
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
362020
A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG
R Yuvaraj, J Thomas, T Kluge, J Dauwels
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 368-372, 2018
252018
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
162020
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
142021
Multi-center validation study of automated classification of pathological slowing in adult scalp electroencephalograms via frequency features
WY Peh, J Thomas, E Bagheri, R Chaudhari, S Karia, R Rathakrishnan, ...
International journal of neural systems 31 (06), 2150016, 2021
92021
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
92020
Clustering of interictal spikes by dynamic time warping and affinity propagation
J Thomas, J Jin, J Dauwels, SS Cash, MB Westover
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
92016
Automated epileptiform spike detection via affinity propagation-based template matching
J Thomas, J Jin, J Dauwels, SS Cash, MB Westover
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
82017
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
62021
Neurology-as-a-Service for the Developing World
T Dharamsi, P Das, T Pedapati, G Bramble, V Muthusamy, H Samulowitz, ...
arXiv preprint arXiv:1711.06195, 2017
62017
Epilepsy diagnosis from scalp EEG: A machine learning approach
J Thomas
Ph. D. thesis, Nanyang Technological University, 2019
12019
26th annual computational neuroscience meeting (CNS* 2017): Part 3
AJH Newton, AH Seidenstein, RA McDougal, A Pérez-Cervera, G Huguet, ...
BMC Neuroscience 18 (1), 1-82, 2017
12017
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
arXiv preprint arXiv:2208.00025, 2022
2022
Computational Approaches for Diagnosis and Monitoring of Epilepsy from Scalp EEG
R Yuvaraj, J Thomas, E Bagheri, J Dauwels, R Rathakrishnan, YL Tan
Handbook of Neuroengineering, 1-31, 2022
2022
A Comparative Study on EEG Features for Neonatal Seizure Detection
S Abirami, J Thomas, R Yuvaraj, JF Agastinose Ronickom
Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders …, 2022
2022
Detection of Slowing Patterns in EEG Data
J Dauwels, PW Yan, J Thomas, B Michel
WO Patent WO2,021,183,048, 2021
2021
Five-institution study of automated classification of pathological slowing from adult scalp electroencephalograms
WY Peh, J Thomas, E Bagheri, R Chaudhari, S Karia, R Rathakrishnan, ...
arXiv e-prints, arXiv: 2009.13554, 2020
2020
Hybrid deep convolutional neural network and hidden Markov model for automatic seizure detection from long-term scalp EEG
Y Rajamanickam, J Thomas, J Dauwels
F1000Research 7, 2018
2018
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