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ORCIDJohn Thomas 0001
Person information
- affiliation: Rochester Institute of Technology, Department of Electrical and Computer Engineering Technology, Rochester, NY, USA
- affiliation: McGill University, Montreal Neurological Institut, Montreal, Canada
- affiliation: Nanyang Technological University (NTU), School of Electrical and Electronic Engineering, Singapore
Other persons with the same name
- John Thomas — disambiguation page
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2020 – today
- 2024
[j7]Abirami Selvaraj, Tikaram
, M. Kathiravan, Yuvaraj Rajamanickam, Ramshekhar N. Menon, John Thomas, Periyamolapalayam Allimuthu Karthick, A. Amalin Prince, Jac Fredo Agastinose Ronickom:
Automated Multi-Class Seizure-Type Classification System Using EEG Signals and Machine Learning Algorithms. IEEE Access 12: 136524-136541 (2024)- 2023
- [j6]Wei Yan Peh, Thangavel Prasanth, Yuanyuan Yao, John Thomas, Yee-Leng Tan, Justin Dauwels:
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG. Int. J. Neural Syst. 33(3): 2350012:1-2350012:17 (2023) - [j5]Yuvaraj Rajamanickam, Prasanth Thagavel, John Thomas, Jack Fogarty, Farhan Ali:
Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings. Sensors 23(2): 915 (2023) - [c9]Abirami Selvaraj, Swarubini PJ, John Thomas, Yuvaraj Rajamanickam, Ramshekhar N. Menon, Jac Fredo Agastinose Ronickom:
Multi-Class Seizure Type Classification Using Features Extracted from the EEG. ICIMTH 2023: 68-71 - [c8]Abdul Aleem Shaik Gadda, Dhanvi Vedantham, John Thomas, Yuvaraj Rajamanickam, Ramshekhar N. Menon, Jac Fredo Agastinose Ronickom:
Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction Using Temporal and Frequency Features. MIE 2023: 232-236 - [c7]Jahanvi Jeswani, Praveen Kumar Govarthan, Abirami Selvaraj, A. Amalin Prince, John Thomas, Mohanavelu Kalathe, Venkat Sreeraj V. Se Subramaniam, Jac Fredo Agastinose Ronickom:
Low Valence Low Arousal Stimuli: An Effective Candidate for EEG-Based Biometrics Authentication System. MIE 2023: 257-261 - 2021
- [j4]John Thomas, Thangavel Prasanth, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels:
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. Int. J. Neural Syst. 31(5): 2050074:1-2050074:16 (2021) - [j3]Wei Yan Peh, John Thomas, Elham Bagheri, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, Justin Dauwels:
Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. Int. J. Neural Syst. 31(6): 2150016:1-2150016:16 (2021) - [j2]Thangavel Prasanth, John Thomas, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels:
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. Int. J. Neural Syst. 31(8): 2150032:1-2150032:16 (2021) - 2020
- [j1]John Thomas, Jing Jin, Thangavel Prasanth, Elham Bagheri, Yuvaraj Rajamanickam, Justin Dauwels, Rahul Rathakrishnan, Jonathan J. Halford, Sydney S. Cash, M. Brandon Westover:
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. 30(11): 2050030:1-2050030:17 (2020) - [c6]Thangavel Prasanth, John Thomas, R. Yuvaraj, Jing Jing, Sydney S. Cash, Rima Chaudhari, Yee-Leng Tan, Rahul Rathakrishnan, Rohit Srivastava, Vinay Saini, M. Brandon Westover, Justin Dauwels:
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. EMBC 2020: 3703-3706
2010 – 2019
- 2018
- [c5]Yuvaraj Rajamanickam, John Thomas, Tilmann Kluge, Justin Dauwels:
A deep Learning Scheme for Automatic Seizure Detection from Long-Term Scalp EEG. ACSSC 2018: 368-372 - [c4]John Thomas, Luca Comoretto, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection. EMBC 2018: 3148-3151 - 2017
- [c3]John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Automated epileptiform spike detection via affinity propagation-based template matching. EMBC 2017: 3057-3060 - [c2]John Thomas, Tomasz Maszczyk, Nishant Sinha, Tilmann Kluge, Justin Dauwels:
Deep learning-based classification for brain-computer interfaces. SMC 2017: 234-239 - [i1]Tejas Dharamsi, Payel Das, Tejaswini Pedapati, Gregory Bramble, Vinod Muthusamy, Horst Samulowitz, Kush R. Varshney, Yuvaraj Rajamanickam, John Thomas, Justin Dauwels:
Neurology-as-a-Service for the Developing World. CoRR abs/1711.06195 (2017) - 2016
- [c1]John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Clustering of interictal spikes by dynamic time warping and affinity propagation. ICASSP 2016: 749-753
Coauthor Index
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