JOHN THOMAS

Montreal Neurological Institute and Hospital

Canada

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Articles (15)

Year:

2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2021

Year:

2021

Year:

2021

Collaborators (6)

Rajamanickam Yuvaraj

Lecturer (Research Scientist)

National Institute of Education

SINGAPORE

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Katharina Schiller

McGill University

CANADA

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Birgit Frauscher

CANADA

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Päivi Nevalainen

University of Helsinki

FINLAND

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Farhan Ali

Assistant Professor

Nanyang Technological University National Institute of Education

SINGAPORE

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Birgit Frauscher

McGill University

CANADA

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JOHN THOMAS

Research Interests

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Articles (15)

Oscillatory and nonoscillatory sleep electroencephalographic biomarkers of the epileptic network

Development of a stereo-EEG based seizure matching system for clinical decision making in epilepsy surgery

Investigating current clinical opinions in stereoelectroencephalography‐informed epilepsy surgery

Pulsatile corticoid therapy reduces interictal epileptic activity burden in children with genetic drug‐resistant epilepsy

Quantifying epileptic networks: every data point brings us a step closer to an optimized surgery

Rapid eye movement sleep affects interictal epileptic activity differently in mesiotemporal and neocortical areas

The differing effects of sleep on ictal and interictal network dynamics in drug‐resistant epilepsy

Scalp and hippocampal sleep correlates of memory function in drug-resistant temporal lobe epilepsy

Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy

A Subpopulation of Spikes Predicts Successful Epilepsy Surgery Outcome

Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings

Improving automated diagnosis of epilepsy from EEGs beyond IEDs

Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study

Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features

Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis

Collaborators (6)

Rajamanickam Yuvaraj

Katharina Schiller

Birgit Frauscher

Päivi Nevalainen

Farhan Ali

Birgit Frauscher

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