Andrea Mechelli

Institute of Psychiatry, Psichology King's College London, London, UK 
"Andrea Mechelli"
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Vieira S, Gong Q, Scarpazza C, et al. (2019) Neuroanatomical abnormalities in first-episode psychosis across independent samples: a multi-centre mega-analysis. Psychological Medicine. 1-11
Lei D, Pinaya WHL, Young J, et al. (2019) Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual. Human Brain Mapping
Reilly T, Mechelli A, McGuire P, et al. (2019) E-Clinical High Risk for Psychosis: Viewpoint on Potential of Digital Innovations for Preventive Psychiatry. Jmir Mental Health. 6: e14581
Tognin S, van Hell HH, Merritt K, et al. (2019) Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies-PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice. Schizophrenia Bulletin
Lei D, Pinaya WHL, van Amelsvoort T, et al. (2019) Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics. Psychological Medicine. 1-10
Petros N, Mechelli A, Fusar-Poli P, et al. (2019) Towards a framework for good outcome in people at clinical high risk for psychosis: A Delphi consensus study. Schizophrenia Research
Vieira S, Gong QY, Pinaya WHL, et al. (2019) Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence. Schizophrenia Bulletin
Pinaya WHL, Mechelli A, Sato JR. (2018) Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study. Human Brain Mapping
Gong Q, Scarpazza C, Dai J, et al. (2018) A transdiagnostic neuroanatomical signature of psychiatric illness. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
Bakolis I, Hammoud R, Smythe M, et al. (2018) Urban Mind: Using Smartphone Technologies to Investigate the Impact of Nature on Mental Well-Being in Real Time. Bioscience. 68: 134-145
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