| 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 | 109 | 2019 |
| 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 | 51 | 2017 |
| 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 | 29 | 2017 |
| 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 | 21 | 2019 |
| 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 | 18 | 2017 |
| 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 | 13 | 2018 |
| 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 | 5 | 2019 |
| 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 | 5 | 2017 |
| 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 | 3 | 2020 |
| 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 | 2 | 2021 |
| 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 | 1 | 2021 |
| 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, ... | | |
Andrea BernasconiProfessor of Neurology, McGill UniversityVerified email at mcgill.ca
