| Atypical prediction error learning is associated with prodromal symptoms in individuals at clinical high risk for psychosis CE Charlton, JR Lepock, DJ Hauke, R Mizrahi, M Kiang, AO Diaconescu Schizophrenia 8 (1), 105, 2022 | 10 | 2022 |
| Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review P Karvelis, CE Charlton, SG Allohverdi, P Bedford, DJ Hauke, ... Network Neuroscience 6 (4), 1066-1103, 2022 | 6 | 2022 |
| Aberrant hierarchical prediction errors are associated with transition to psychosis: A computational single-trial analysis of the mismatch negativity DJ Hauke, CE Charlton, A Schmidt, JD Griffiths, SW Woods, JM Ford, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 8 (12), 1176-1185, 2023 | 5 | 2023 |
| Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability CE Charlton, MTC Poon, PM Brennan, JD Fleuriot Computer methods and programs in biomedicine 233, 107482, 2023 | 5 | 2023 |
| Neuroimaging and biosample collection in the Toronto Adolescent and Youth Cohort Study: Rationale, methods, and early data EW Dickie, SH Ameis, I Boileau, AO Diaconescu, D Felsky, BI Goldstein, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 9 (3), 275-284, 2024 | 3 | 2024 |
| Suicide prevention and ketamine: insights from computational modeling CE Charlton, P Karvelis, RS McIntyre, AO Diaconescu Frontiers in psychiatry 14, 1214018, 2023 | 1 | 2023 |
| Building an Interpretable Machine Learning Classifier for the Prediction of Brain Tumour Survival C Charlton | | |
