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Sandra Vieira

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications
2017 · Sandra Vieira, Walter H.L. Pinaya, et al. · Neuroscience & Biobehavioral Reviews · 686
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Machine learning for brain age prediction: Introduction to methods and clinical applications
2021 · Lea Baecker, Rafael Garcia-Dias, et al. · EBioMedicine · 288
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Introduction to machine learning
2019 · Sandra Vieira, Walter Hugo Lopez Pinaya, et al. · Elsevier eBooks · 211
Autoencoders
2019 · Walter Hugo Lopez Pinaya, Sandra Vieira, et al. · Elsevier eBooks · 204
Convolutional neural networks
2019 · Walter Hugo Lopez Pinaya, Sandra Vieira, et al. · Elsevier eBooks · 119
Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data
2021 · Lea Baecker, Jessica Dafflon, et al. · Human Brain Mapping · 113
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Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence
2018 · Sandra Vieira, Qi-yong Gong, et al. · Schizophrenia Bulletin · 108
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Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics
2019 · Du Lei, Walter H. L. Pinaya, et al. · Psychological Medicine · 105
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Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study
2021 · Walter H. L. Pinaya, Cristina Scarpazza, et al. · Scientific Reports · 99
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Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
2019 · Du Lei, Walter H. L. Pinaya, et al. · Human Brain Mapping · 99
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Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners
2020 · Rafael Garcia-Dias, Cristina Scarpazza, et al. · NeuroImage · 86
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Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies
2022 · Sandra Vieira, Xinyi Liang, et al. · Clinical Psychology Review · 85
Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice
2019 · Stefania Tognin, Hendrika H van Hell, et al. · Schizophrenia Bulletin · 83
Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia
2022 · Du Lei, Kun Qin, et al. · Schizophrenia Bulletin · 81
A transdiagnostic neuroanatomical signature of psychiatric illness
2018 · Qiyong Gong, Cristina Scarpazza, et al. · Neuropsychopharmacology · 68
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Clustering analysis
2019 · Rafael Garcia-Dias, Sandra Vieira, et al. · Elsevier eBooks · 65
Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders
2020 · C. Scarpazza, M. Ha, et al. · Translational Psychiatry · 53
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Multivariate brain-behaviour associations in psychiatric disorders
2024 · S. Vieira, T. A. W. Bolton, et al. · Translational Psychiatry · 51
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Neuroanatomical abnormalities in first-episode psychosis across independent samples: a multi-centre mega-analysis
2019 · Sandra Vieira, Qiyong Gong, et al. · Psychological Medicine · 39
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From models to tools: clinical translation of machine learning studies in psychosis
2020 · Andrea Mechelli, Sandra Vieira · Schizophrenia · 37
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Main concepts in machine learning
2019 · Sandra Vieira, Walter Hugo Lopez Pinaya, et al. · Elsevier eBooks · 26
Deep neural networks
2019 · Sandra Vieira, Walter Hugo Lopez Pinaya, et al. · Elsevier eBooks · 24
Exploring the latent structure of behavior using the Human Connectome Project’s data
2023 · Mikkel Schöttner, Thomas A. W. Bolton, et al. · Scientific Reports · 23
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Applications of machine learning to brain disorders
2019 · Cristina Scarpazza, Lea Baecker, et al. · Elsevier eBooks · 18
A step-by-step tutorial on how to build a machine learning model
2019 · Sandra Vieira, Rafael Garcia-Dias, et al. · Elsevier eBooks · 18
Works count: 51
Citation count: 2,854
H-index: 23
I10-index: 27
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