King's College London

• Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study

  Lopez Pinaya, W., Scarpazza, C., Garcia Dias, R., Vieira, S., Baecker, L., Da Costa, P. F., Redolfi, A., Frisoni, G., Pievani, M., Calhoun, V., Sato, J. & Mechelli, A., 22 Jun 2021, (Accepted/In press) In: Scientific Reports.

  Research output: Contribution to journal › Article › peer-review

• Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data

  Baecker, L., Dafflon, J., Da Costa, P. F., Garcia Dias, R., Vieira, S., Scarpazza, C., Calhoun, V. D., Sato, J. R., Mechelli, A. & Lopez Pinaya, W., 31 Jan 2021, (Accepted/In press) In: Human Brain Mapping.

  Research output: Contribution to journal › Article › peer-review

• From models to tools: clinical translation of machine learning studies in psychosis

  Mechelli, A. & Vieira, S., 1 Dec 2020, In: NPJ SCHIZOPHRENIA. 6, 1, 4.

  Research output: Contribution to journal › Comment/debate › peer-review

• Towards Standardising the Assessment of Good Outcome in People at Clinical High Risk for Psychosis: A Collaborative Approach

  Petros, N., Cullen, A., Fusar-Poli, P., Mechelli, A. & McGuire, P., Sep 2020, In: Schizophrenia Research. 223, p. 361-362 2 p.

  Research output: Contribution to journal › Letter › peer-review

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