Sfoglia per Autore
Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia
2022 Lei, Du; Qin, Kun; Pinaya, Walter H L; Young, Jonathan; van Amelsvoort, Therese; Marcelis, Machteld; Donohoe, Gary; Mothersill, David O; Corvin, Aiden; Vieira, Sandra; Lui, Su; Scarpazza, Cristina; Arango, Celso; Bullmore, Ed; Gong, Qiyong; Mcguire, Philip; Mechelli, Andrea
Machine learning for brain age prediction: Introduction to methods and clinical applications
2021 Baecker, Lea; Garcia-Dias, Rafael; Vieira, Sandra; Scarpazza, Cristina; Mechelli, Andrea
Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer's disease in a cross-sectional multi-cohort study
2021 Pinaya, Walter H L; Scarpazza, Cristina; Garcia-Dias, Rafael; Vieira, Sandra; Baecker, Lea; F da Costa, Pedro; Redolfi, Alberto; Frisoni, Giovanni B; Pievani, Michela; Calhoun, Vince D; Sato, João R; Mechelli, Andrea
Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data
2021 Baecker, Lea; Dafflon, Jessica; Costa, Pedro F.; Garcia‐dias, Rafael; Vieira, Sandra; Scarpazza, Cristina; Calhoun, Vince D.; Sato, João R.; Mechelli, Andrea; Pinaya, Walter H. L.
Functional MRI connectivity accurately distinguishes cases with psychotic disorders from healthy controls, based on cortical features associated with brain network development
2020 Morgan, Sarah E.; Young, Jonathan; Patel, Ameera X.; Whitaker, Kirstie J.; Scarpazza, Cristina; van Amelsvoort, Therese; Marcelis, Machteld; van Os, Jim; Donohoe, Gary; Mothersill, David; Corvin, Aiden; Arango, Celso; Mechelli, Andrea; van den Heuvel, Martijn; Kahn, René S.; Mcguire, Philip; Brammer, Michael; Bullmore, Edward T.
Towards precision medicine in psychosis: Benefits and challenges of multimodal multicenter studies - PSYSCAN: Translating neuroimaging findings from research into clinical practice
2020 Tognin, S.; Van Hell, H. H.; Merritt, K.; Winter-Van Rossum, I.; Bossong, M. G.; Kempton, M. J.; Modinos, G.; Fusar-Poli, P.; Mechelli, A.; Dazzan, P.; Maat, A.; De Haan, L.; Crespo-Facorro, B.; Glenthoj, B.; Lawrie, S. M.; Mcdonald, C.; Gruber, O.; Van Amelsvoort, T.; Arango, C.; Kircher, T.; Nelson, B.; Galderisi, S.; Bressan, R.; Kwon, J. S.; Weiser, M.; Mizrahi, R.; Sachs, G.; Maatz, A.; Kahn, R.; Mcguire, P.; Mcguire, P.; Gifford, G.; Petros, N.; Antoniades, M.; De Micheli, A.; Vieira, S.; Spencer, T. J.; Scarpazza, C.; Hird, E.; Van Hell, E.; Winter, I.; Cahn, W.; Schnack, H.; Siegmann, D.; Barkhof, J.; Hendriks, L.; De Wit, I.; Tordesillas-Gutierrez, D.; Setien-Suero, E.; Ayesa-Arriola, R.; Suarez-Pinilla, P.; Ramirez-Bonilla, M.; Garcia-De La Foz, V. O.; Sorensen, M. E.; Tangmose, K.; Schaebel, H.; Broberg, B.; Rostrup, E.; Hallahan, B.; Cannon, D.; Mcloughlin, J.; Finnegan, M.; Deckers, D.; Marcelis, M.; Vingerhoets, C.; Diaz-Caneja, C. M.; Ayora, M.; Janssen, J.; Rodriguez-Jimenez, R.; Diaz-Marsa, M.; Falkenberg, I.; Bitsch, F.; Berger, P.; Sommer, J.; Raab, K.; Jakobi, B.; Mcgorry, P.; Amminger, P.; Mchugh, M.; Mucci, A.; Bucci, P.; Piegari, G.; Pietrafesa, D.; Nicita, A.; Patriarca, S.; Zugman, A.; Gadelha, A.; Da Cunha, G. R.; Kwon, J. S.; Cho, K. I. K.; Lee, T. Y.; Kim, M.; Kwak, Y. B.; Hwang, W. J.; Kiang, M.; Gerritsen, C.; Maheandiran, M.; Ahmed, S.; Prce, I.; Lepock, J.; Willeit, M.; Lenczowski, M.; Sauerzopf, U.; Weidenauer, A.; Furtner-Srajer, J.; Kirschner, M.; Burrer, A.; Stampfli, P.; Huber, N.; Kaiser, S.; Kawohl, W.; Brammer, M.; Young, J.; Bullmore, E.; Morgan, S.
Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders
2020 Scarpazza, C.; Ha, M.; Baecker, L.; Garcia-Dias, R.; Pinaya, W. H. L.; Vieira, S.; Mechelli, A.
Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners
2020 Garcia-Dias, Rafael; Scarpazza, Cristina; Baecker, Lea; Vieira, Sandra; Pinaya, Walter H L; Corvin, Aiden; Redolfi, Alberto; Nelson, Barnaby; Crespo-Facorro, Benedicto; Mcdonald, Colm; Tordesillas-Gutiérrez, Diana; Cannon, Dara; Mothersill, David; Hernaus, Dennis; Morris, Derek; Setien-Suero, Esther; Donohoe, Gary; Frisoni, Giovanni; Tronchin, Giulia; Sato, João; Marcelis, Machteld; Kempton, Matthew; van Haren, Neeltje E M; Gruber, Oliver; Mcgorry, Patrick; Amminger, Paul; Mcguire, Philip; Gong, Qiyong; Kahn, René S; Ayesa-Arriola, Rosa; van Amelsvoort, Therese; Ortiz-García de la Foz, Victor; Calhoun, Vince; Cahn, Wiepke; Mechelli, Andrea
Using machine learning and structural neuroimaging to detect first episode psychosis: Reconsidering the evidence
2020 Vieira, S.; Gong, Q. -Y.; Pinaya, W. H. L.; Scarpazza, C.; Tognin, S.; Crespo-Facorro, B.; Tordesillas-Gutierrez, D.; Ortiz-Garcia, V.; Setien-Suero, E.; Scheepers, F. E.; van Haren, N. E. M.; Marques, T. R.; Murray, R. M.; David, A.; Dazzan, P.; Mcguire, P.; Mechelli, A.
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
2020 Lei, D.; Pinaya, W. H. L.; Young, J.; van Amelsvoort, T.; Marcelis, M.; Donohoe, G.; Mothersill, D. O.; Corvin, A.; Vieira, S.; Huang, X.; Lui, S.; Scarpazza, C.; Arango, C.; Bullmore, E.; Gong, Q.; Mcguire, P.; Mechelli, A.
Detecting schizophrenia at the level of the individual: Relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics
2019 Lei, D.; Pinaya, W. H. L.; Van Amelsvoort, T.; Marcelis, M.; Donohoe, G.; Mothersill, D. O.; Corvin, A.; Gill, M.; Vieira, S.; Huang, X.; Lui, S.; Scarpazza, C.; Young, J.; Arango, C.; Bullmore, E.; Qiyong, G.; Mcguire, P.; Mechelli, A.
A transdiagnostic neuroanatomical signature of psychiatric illness
2019 Gong, Q.; Scarpazza, C.; Dai, J.; He, M.; Xu, X.; Shi, Y.; Zhou, B.; Vieira, S.; Mccrory, E.; Ai, Y.; Yang, C.; Zhang, F.; Lui, S.; Mechelli, A.
Applications of machine learning to brain disorders
2019 Scarpazza, C.; Baecker, L.; Vieira, S.; Mechelli, A.
Neuroanatomical abnormalities in first-episode psychosis across independent samples: A multi-centre mega-analysis
2019 Vieira, S.; Gong, Q.; Scarpazza, C.; Lui, S.; Huang, X.; Crespo-Facorro, B.; Tordesillas-Gutierrez, D.; De La Foz, V. O. -G.; Setien-Suero, E.; Scheepers, F.; Van Haren, N. E. M.; Kahn, R.; Reis Marques, T.; Ciufolini, S.; Di Forti, M.; Murray, R. M.; David, A.; Dazzan, P.; Mcguire, P.; Mechelli, A.
When the single matters more than the Group (II): Addressing the problem of high false positive rates in single case voxel based morphometry using non-parametric statistics
2016 Scarpazza, Cristina; Nichols, Thomas E.; Seramondi, Donato; Maumet, Camille; Sartori, Giuseppe; Mechelli, Andrea
A Neuroanatomical Signature for Schizophrenia Across Different Ethnic Groups
2015 Gong, Q.; Dazzan, P.; Scarpazza, C.; Kasai, K.; Hu, X.; Marques, T. R.; Iwashiro, N.; Huang, X.; Murray, R. M.; Koike, S.; David, A. S.; Yamasue, H.; Lui, S.; Mechelli, A.
Prognostic prediction of therapeutic response in depression using high-field MR imaging
2011 Gong, Q.; Wu, Q.; Scarpazza, C.; Lui, S.; Jia, Z.; Marquand, A.; Huang, X.; Mcguire, P.; Mechelli, A.
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile