Ravnoor Singh Gill
Ravnoor Singh Gill
PhD Candidate in Neuroscience, Montreal Neurological Institute, McGill University
Verified email at bic.mni.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
Recommendations for the use of structural magnetic resonance imaging in the care of patients with epilepsy: a consensus report from the International League Against Epilepsy …
A Bernasconi, F Cendes, WH Theodore, RS Gill, MJ Koepp, RE Hogan, ...
Epilepsia 60 (6), 1054-1068, 2019
1092019
The spectrum of structural and functional network alterations in malformations of cortical development
SJ Hong, BC Bernhardt, RS Gill, N Bernasconi, A Bernasconi
Brain 140 (8), 2133-2143, 2017
512017
Resting state functional network disruptions in a kainic acid model of temporal lobe epilepsy
RS Gill, SM Mirsattari, LS Leung
NeuroImage: Clinical 13, 70-81, 2017
292017
A connectome-based mechanistic model of focal cortical dysplasia
SJ Hong, HM Lee, R Gill, J Crane, V Sziklas, BC Bernhardt, N Bernasconi, ...
Brain 142 (3), 688–699, 2019
212019
Automated detection of epileptogenic cortical malformations using multimodal MRI
RS Gill, SJ Hong, F Fadaie, B Caldairou, B Bernhardt, N Bernasconi, ...
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
182017
Deep convolutional networks for automated detection of epileptogenic brain malformations
RS Gill, SJ Hong, F Fadaie, B Caldairou, BC Bernhardt, C Barba, A Brandt, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
132018
Uncertainty-informed detection of epileptogenic brain malformations using bayesian neural networks
RS Gill, B Caldairou, N Bernasconi, A Bernasconi
International Conference on Medical Image Computing and Computer-Assisted …, 2019
52019
Connectome-based pattern learning predicts histology and surgical outcome of epileptogenic malformations of cortical development
SJ Hong, B Bernhardt, R Gill, N Bernasconi, A Bernasconi
International Conference on Medical Image Computing and Computer-Assisted …, 2017
52017
Unsupervised machine learning reveals lesional variability in focal cortical dysplasia at mesoscopic scale
HM Lee, RS Gill, F Fadaie, KH Cho, MC Guiot, SJ Hong, N Bernasconi, ...
NeuroImage: Clinical 28, 102438, 2020
32020
Multicenter validation of a deep learning detection algorithm for focal cortical dysplasia
RS Gill, HM Lee, B Caldairou, SJ Hong, C Barba, F Deleo, L D'Incerti, ...
Neurology 97 (16), e1571-e1582, 2021
22021
Atypical functional connectome hierarchy impacts cognition in temporal lobe epilepsy
F Fadaie, HM Lee, B Caldairou, RS Gill, V Sziklas, J Crane, BC Bernhardt, ...
Epilepsia, 2021
12021
MRI-Based Machine Learning Prediction Framework to Lateralize Hippocampal Sclerosis in Patients With Temporal Lobe Epilepsy
B Caldairou, NA Foit, C Mutti, F Fadaie, R Gill, HM Lee, T Demerath, ...
Neurology 97 (16), e1583-e1593, 2021
2021
Response to commentary on recommendations for the use of structural MRI in the care of patients with epilepsy: A consensus report from the ILAE Neuroimaging Task Force
A Bernasconi, F Cendes, W Theodore, RS Gill, M Koepp, RE Hogan, ...
Wiley, 2019
2019
Computational Neuroimaging of Epilepsy
A Bernasconi, SJ Hong, M Liu, R Gill, E Hogan, N Bernasconi
Imaging Biomarkers in Epilepsy, 55, 2018
2018
Resting-state Functional Network Disruptions in a Rodent Model of Mesial Temporal Lobe Epilepsy (TLE)
RS Gill
2015
Automated detection of subtle focal cortical dysplasia using multi-contrast MRI
RS Gill, SJ Hong, F Fadaie, B Caldairou, BC Bernhardt, N Bernasconi, ...
Deep convolutional neural networks for detection of cortical dysplasia: a multicenter validation
RS Gill, SJ Hong, F Fadaie, B Caldairou, BC Bernhardt, C Barba, ...
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