| Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications S Vieira, WHL Pinaya, A Mechelli Neuroscience & Biobehavioral Reviews 74, 58-75, 2017 | 621 | 2017 |
| Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia WHL Pinaya, A Gadelha, OM Doyle, C Noto, A Zugman, Q Cordeiro, ... Scientific reports 6 (1), 38897, 2016 | 178 | 2016 |
| Brain imaging generation with latent diffusion models WHL Pinaya, PD Tudosiu, J Dafflon, PF Da Costa, V Fernandez, ... MICCAI Workshop on Deep Generative Models, 117-126, 2022 | 153 | 2022 |
| Autoencoders WHL Pinaya, S Vieira, R Garcia-Dias, A Mechelli Machine learning, 193-208, 2020 | 149 | 2020 |
| Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study WHL Pinaya, A Mechelli, JR Sato Human brain mapping 40 (3), 944-954, 2019 | 120 | 2019 |
| Using machine learning and structural neuroimaging to detect first episode psychosis: reconsidering the evidence S Vieira, Q Gong, WHL Pinaya, C Scarpazza, S Tognin, B Crespo-Facorro, ... Schizophrenia bulletin 46 (1), 17-26, 2020 | 94 | 2020 |
| Convolutional neural networks WHL Pinaya, S Vieira, R Garcia-Dias, A Mechelli Machine learning, 173-191, 2020 | 90 | 2020 |
| Fast unsupervised brain anomaly detection and segmentation with diffusion models WHL Pinaya, MS Graham, R Gray, PF Da Costa, PD Tudosiu, P Wright, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 77 | 2022 |
| Unsupervised brain imaging 3D anomaly detection and segmentation with transformers WHL Pinaya, PD Tudosiu, R Gray, G Rees, P Nachev, S Ourselin, ... Medical Image Analysis 79, 102475, 2022 | 75 | 2022 |
| Brain age prediction: A comparison between machine learning models using region‐and voxel‐based morphometric data L Baecker, J Dafflon, PF Da Costa, R Garcia‐Dias, S Vieira, C Scarpazza, ... Human brain mapping 42 (8), 2332-2346, 2021 | 73 | 2021 |
| Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics D Lei, WHL Pinaya, T Van Amelsvoort, M Marcelis, G Donohoe, ... Psychological medicine 50 (11), 1852-1861, 2020 | 73 | 2020 |
| Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual D Lei, WHL Pinaya, J Young, T Van Amelsvoort, M Marcelis, G Donohoe, ... Human brain mapping 41 (5), 1119-1135, 2020 | 68 | 2020 |
| Introduction to machine learning S Vieira, WHL Pinaya, A Mechelli Machine learning, 1-20, 2020 | 58 | 2020 |
| Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners R Garcia-Dias, C Scarpazza, L Baecker, S Vieira, WHL Pinaya, A Corvin, ... Neuroimage 220, 117127, 2020 | 57 | 2020 |
| Unsupervised brain anomaly detection and segmentation with transformers WHL Pinaya, PD Tudosiu, R Gray, G Rees, P Nachev, S Ourselin, ... arXiv preprint arXiv:2102.11650, 2021 | 53 | 2021 |
| Clustering analysis R Garcia-Dias, S Vieira, WHL Pinaya, A Mechelli machine learning, 227-247, 2020 | 47 | 2020 |
| An automated machine learning approach to predict brain age from cortical anatomical measures J Dafflon, WHL Pinaya, F Turkheimer, JH Cole, R Leech, MA Harris, ... Human brain mapping 41 (13), 3555-3566, 2020 | 46 | 2020 |
| Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study WHL Pinaya, C Scarpazza, R Garcia-Dias, S Vieira, L Baecker, ... Scientific reports 11 (1), 15746, 2021 | 45 | 2021 |
| Denoising diffusion models for out-of-distribution detection MS Graham, WHL Pinaya, PD Tudosiu, P Nachev, S Ourselin, J Cardoso Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 36 | 2023 |
| Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites K Qin, D Lei, WHL Pinaya, N Pan, W Li, Z Zhu, JA Sweeney, A Mechelli, ... EBioMedicine 78, 2022 | 36 | 2022 |
Professor Andrea MechelliInstitute of Psychiatry, Psychology & NeuroscienceVerified email at kcl.ac.uk
