Peer-Reviewed Papers

2021

  1. Multicenter validation of a deep learning detection algorithm for focal cortical dysplasia Gill, Ravnoor Singh, Lee, Hyo-Min, Caldairou, Benoit, Hong, Seok-Jun, Barba, Carmen, Deleo, Francesco, D’Incerti, Ludovico, Coelho, Vanessa Cristina Mendes, Lenge, Matteo, Semmelroch, Mira, and others, Neurology 2021 [PDF] [Code] [Data] [Editorial]
  2. MRI-Based Machine Learning Prediction Framework to Lateralize Hippocampal Sclerosis in Patients With Temporal Lobe Epilepsy Caldairou, Benoit, Foit, Niels A, Mutti, Carlotta, Fadaie, Fatemeh, Gill, Ravnoor, Lee, Hyo Min, Demerath, Theo, Urbach, Horst, Schulze-Bonhage, Andreas, Bernasconi, Andrea, and others, Neurology 2021 [PDF] [Code]
  3. Atypical functional connectome hierarchy impacts cognition in temporal lobe epilepsy Fadaie, Fatemeh, Lee, Hyo M, Caldairou, Benoit, Gill, Ravnoor S, Sziklas, Viviane, Crane, Joelle, Bernhardt, Boris C, Hong, Seok-Jun, Bernasconi, Andrea, and Bernasconi, Neda Epilepsia 2021 [PDF]
  4. Decomposing MRI phenotypic heterogeneity in epilepsy: a step towards personalized classification Lee, Hyo Min, Fadaie, Fatemeh, Gill, Ravnoor, Caldairou, Benoit, Sziklas, Viviane, Crane, Joelle, Hong, Seok-Jun, Bernhardt, Boris C, Bernasconi, Andrea, and Bernasconi, Neda Brain 2021 [PDF]

2020

  1. Unsupervised machine learning reveals lesional variability in focal cortical dysplasia at mesoscopic scale Lee, Hyo M, Gill, Ravnoor, Fadaie, Fatemeh, Cho, Kyoo H, Guiot, Marie C, Hong, Seok-Jun, Bernasconi, Neda, and Bernasconi, Andrea NeuroImage: Clinical 2020 [PDF]

2019

  1. A connectome-based mechanistic model of focal cortical dysplasia Hong, Seok-Jun, Lee, Hyo-Min, Gill, Ravnoor, Crane, Joelle, Sziklas, Viviane, Bernhardt, Boris C, Bernasconi, Neda, and Bernasconi, Andrea Brain 2019 [PDF]
  2. 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 Neuroimaging Task Force Bernasconi, Andrea, Cendes, Fernando, Theodore, William H, Gill, Ravnoor S, Koepp, Matthias J, Hogan, Robert Edward, Jackson, Graeme D, Federico, Paolo, Labate, Angelo, Vaudano, Anna Elisabetta, and others, Epilepsia 2019 [PDF]
  3. Uncertainty-informed detection of epileptogenic brain malformations using bayesian neural networks Gill, Ravnoor S, Caldairou, Benoit, Bernasconi, Neda, and Bernasconi, Andrea 2019 [PDF]

2018

  1. Deep convolutional networks for automated detection of epileptogenic brain malformations Gill, Ravnoor S, Hong, Seok-Jun, Fadaie, Fatemeh, Caldairou, Benoit, Bernhardt, Boris C, Barba, Carmen, Brandt, Armin, Coelho, Vanessa C, d’Incerti, Ludovico, Lenge, Matteo, and others, 2018 [PDF]

2017

  1. Resting state functional network disruptions in a kainic acid model of temporal lobe epilepsy Gill, Ravnoor Singh, Mirsattari, Seyed M, and Leung, L Stan NeuroImage: Clinical 2017 [PDF]
  2. The spectrum of structural and functional network alterations in malformations of cortical development Hong, Seok-Jun, Bernhardt, Boris C, Gill, Ravnoor S, Bernasconi, Neda, and Bernasconi, Andrea Brain 2017 [PDF]
  3. Connectome-based pattern learning predicts histology and surgical outcome of epileptogenic malformations of cortical development Hong, Seok-Jun, Bernhardt, Boris, Gill, Ravnoor, Bernasconi, Neda, and Bernasconi, Andrea 2017 [PDF]
  4. Automated detection of epileptogenic cortical malformations using multimodal MRI Gill, Ravnoor S, Hong, Seok-Jun, Fadaie, Fatemeh, Caldairou, Benoit, Bernhardt, Boris, Bernasconi, Neda, and Bernasconi, Andrea 2017 [PDF]

Book Chapter/s

2018

  1. Computational Neuroimaging of Epilepsy Hong, Seok-Jun, Liu, Min, Gill, Ravnoor, Hogan, Edward, Bernasconi, Neda, and Bernasconi, Andrea 2018 [PDF]

Theses

2015

  1. Gill, R. S. (2015). Resting-state Functional Network Disruptions in a Rodent Model of Mesial Temporal Lobe Epilepsy (TLE) [Thesis]. [PDF]