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    Wyświetlanie 1-6 z 6
    Tytuł:
    Publisher Correction: Generalizability of 3D CNN models for age estimation in diverse youth populations using structural MRI.
    Autorzy:
    Mendes SL; Center of Mathematics, Computing, and Cognition, Universidade Federal Do ABC, Rua Arcturus N. 03, São Bernardo Do Campo, SP, 09606-070, Brazil.
    Pinaya WHL; Department of Biomedical Engineering, King's College London, London, SE1 7EH, UK. walter.diaz_.
    Pan PM; Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Maj. Maragliano (UNIFESP), 241-Vila Mariana, São Paulo, SP, 04017-030, Brazil.
    Jackowski AP; Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Maj. Maragliano (UNIFESP), 241-Vila Mariana, São Paulo, SP, 04017-030, Brazil.; Department of Education, ICT and Learning, Østfold University College, Halden, Norway.
    Bressan RA; Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Maj. Maragliano (UNIFESP), 241-Vila Mariana, São Paulo, SP, 04017-030, Brazil.
    Sato JR; Center of Mathematics, Computing, and Cognition, Universidade Federal Do ABC, Rua Arcturus N. 03, São Bernardo Do Campo, SP, 09606-070, Brazil.
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    Źródło:
    Scientific reports [Sci Rep] 2023 May 17; Vol. 13 (1), pp. 8025. Date of Electronic Publication: 2023 May 17.
    Typ publikacji:
    Published Erratum
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Generalizability of 3D CNN models for age estimation in diverse youth populations using structural MRI.
    Autorzy:
    Mendes SL; Center of Mathematics, Computing, and Cognition, Universidade Federal Do ABC, Rua Arcturus N. 03, São Bernardo Do Campo, SP, 09606-070, Brazil.
    Pinaya WHL; Department of Biomedical Engineering, King's College London, London, SE1 7EH, UK. walter.diaz_.
    Pan PM; Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Maj. Maragliano (UNIFESP), 241-Vila Mariana, São Paulo, SP, 04017-030, Brazil.
    Jackowski AP; Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Maj. Maragliano (UNIFESP), 241-Vila Mariana, São Paulo, SP, 04017-030, Brazil.; Department of Education, ICT and Learning, Østfold University College, Halden, Norway.
    Bressan RA; Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Maj. Maragliano (UNIFESP), 241-Vila Mariana, São Paulo, SP, 04017-030, Brazil.
    Sato JR; Center of Mathematics, Computing, and Cognition, Universidade Federal Do ABC, Rua Arcturus N. 03, São Bernardo Do Campo, SP, 09606-070, Brazil.
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    Źródło:
    Scientific reports [Sci Rep] 2023 Apr 27; Vol. 13 (1), pp. 6886. Date of Electronic Publication: 2023 Apr 27.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Autism Spectrum Disorder*/psychology
    Attention Deficit Disorder with Hyperactivity*/diagnosis
    Child ; Humans ; Adolescent ; Cohort Studies ; Brain/diagnostic imaging ; Brain/pathology ; Magnetic Resonance Imaging/methods ; Neural Networks, Computer
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Using deep learning to classify pediatric posttraumatic stress disorder at the individual level.
    Autorzy:
    Yang J; Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.; Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.
    Lei D; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, 45219, USA.
    Qin K; Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
    Pinaya WHL; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, SE5 8AF, UK.
    Suo X; Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
    Li W; Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
    Li L; Mental Health Institute, the Second Xiangya Hospital of Central South University, Changsha, 410008, Hunan, China.
    Kemp GJ; Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L9 7AL, UK.
    Gong Q; Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China. .; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China. .
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    Źródło:
    BMC psychiatry [BMC Psychiatry] 2021 Oct 28; Vol. 21 (1), pp. 535. Date of Electronic Publication: 2021 Oct 28.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Connectome*
    Deep Learning*
    Stress Disorders, Post-Traumatic*/diagnostic imaging
    Brain/diagnostic imaging ; Child ; Humans ; Magnetic Resonance Imaging
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer's disease in a cross-sectional multi-cohort study.
    Autorzy:
    Pinaya WHL; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. walter.diaz_.; Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil. walter.diaz_.; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. walter.diaz_.
    Scarpazza C; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.; Department of General Psychology, University of Padua, Padua, Italy.
    Garcia-Dias R; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
    Vieira S; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
    Baecker L; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
    F da Costa P; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.; Centre for Brain and Cognitive Development, Birkbeck College, University of London, London, UK.
    Redolfi A; Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
    Frisoni GB; Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.; Memory Clinic and LANVIE Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland.
    Pievani M; Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
    Calhoun VD; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, USA.
    Sato JR; Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.
    Mechelli A; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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    Źródło:
    Scientific reports [Sci Rep] 2021 Aug 03; Vol. 11 (1), pp. 15746. Date of Electronic Publication: 2021 Aug 03.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Machine Learning*
    Models, Statistical*
    Neural Networks, Computer*
    Alzheimer Disease/*pathology
    Brain/*pathology
    Cognitive Dysfunction/*pathology
    Aged ; Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/epidemiology ; Brain/diagnostic imaging ; Case-Control Studies ; Cognitive Dysfunction/diagnostic imaging ; Cognitive Dysfunction/epidemiology ; Cohort Studies ; Cross-Sectional Studies ; Disease Progression ; Female ; Humans ; Male ; Middle Aged ; Neuroimaging/methods
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model.
    Autorzy:
    Mendes SL; Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Rua Arcturus no. 03, São Bernardo do Campo, SP 09606-070, Brazil.
    Pinaya WHL; Department of Biomedical Engineering, King's College London, London SE1 7EH, UK.
    Pan P; Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Maj. Maragliano, 241 - Vila Mariana, São Paulo, SP 04017-030, Brazil.
    Sato JR; Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Rua Arcturus no. 03, São Bernardo do Campo, SP 09606-070, Brazil.
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    Źródło:
    Computational intelligence and neuroscience [Comput Intell Neurosci] 2021 May 26; Vol. 2021, pp. 5550914. Date of Electronic Publication: 2021 May 26 (Print Publication: 2021).
    Typ publikacji:
    Journal Article
    MeSH Terms:
    Attention Deficit Disorder with Hyperactivity*
    Autism Spectrum Disorder*
    Adolescent ; Brain/diagnostic imaging ; Child ; Humans ; Infant ; Magnetic Resonance Imaging ; Neural Networks, Computer ; Neuroimaging
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Brazilian montane rainforest expansion induced by Heinrich Stadial 1 event.
    Autorzy:
    Pinaya JLD; Politechnical School, University of São Paulo, São Paulo, SP, Brazil. jorge.pinaya@usp.br.
    Cruz FW; Institute of Geosciences, University of São Paulo, São Paulo, SP, Brazil.
    Ceccantini GCT; Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil.
    Corrêa PLP; Politechnical School, University of São Paulo, São Paulo, SP, Brazil.
    Pitman N; Science Action, The Field Museum of Natural History, Chicago, Illinois, US.
    Vemado F; Institute of Astronomy and Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, SP, Brazil.
    Lopez MDCS; Institute of Astronomy and Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, SP, Brazil.
    Pereira Filho AJ; Institute of Astronomy and Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, SP, Brazil.
    Grohmann CH; Institute of Energy and Environment, University of São Paulo, São Paulo, SP, Brazil.
    Chiessi CM; School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, SP, Brazil.
    Stríkis NM; Federal Fluminense University, Niteroi, RJ, Brazil.
    Horák-Terra I; Institute of Agricultural Sciences, Federal University of Jequitinhonha and Mucuri Valleys, Unaí, MG, Brazil.
    Pinaya WHL; Center of Mathematics, Computation, and Cognition, Federal University of ABC, Santo André, SP, Brazil.
    de Medeiros VB; Institute of Geosciences, University of São Paulo, São Paulo, SP, Brazil.
    Santos RA; Institute of Geosciences, University of São Paulo, São Paulo, SP, Brazil.
    Akabane TK; Institute of Geosciences, University of São Paulo, São Paulo, SP, Brazil.
    Silva MA; Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil.
    Cheddadi R; ISEM, Université de Montpellier, Centre National de la Recherche Scientifique, IRD, EPHE, Montpellier, France.
    Bush M; Department of Biological Sciences, Florida Institute of Technology, Melbourne, FL, US.
    Henrot AJ; Unité de Modélisation du Climat et des Cycles Biogéochimiques, UR-SPHERES, University of Liège, Liège, Belgium.
    François L; Unité de Modélisation du Climat et des Cycles Biogéochimiques, UR-SPHERES, University of Liège, Liège, Belgium.
    Hambuckers A; Unité de Biologie du comportement, UR-SPHERES, University of Liège, Liège, Belgium.
    Boyer F; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique, Université Grenoble Alpes, Grenoble, France.
    Carré M; LOCEAN Laboratory, Sorbonne Universités (UPMC), CNRS, IRD, MNHN, Paris, France.
    Coissac E; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique, Université Grenoble Alpes, Grenoble, France.
    Ficetola F; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique, Université Grenoble Alpes, Grenoble, France.
    Huang K; School of Earth Science and Geological Engineering, Sun Yat-Sen University, Guangzhou, China.
    Lézine AM; LOCEAN Laboratory, Sorbonne Universités (UPMC), CNRS, IRD, MNHN, Paris, France.
    Nourelbait M; ISEM, Université de Montpellier, Centre National de la Recherche Scientifique, IRD, EPHE, Montpellier, France.
    Rhoujjati A; Laboratoire Géoressources, Unité de Recherche Associée CNRST (URAC 42), Faculté des Sciences et Techniques, Université Cadi Ayyad, Marrakech, Morocco.
    Taberlet P; Laboratoire d'Ecologie Alpine, Centre National de la Recherche Scientifique, Université Grenoble Alpes, Grenoble, France.
    Sarmiento F; Neotropical Montology Collaboratory, Department of Geography, University of Georgia, Athens, GA, US.
    Abel-Schaad D; Departamento de Botánica, Facultad de Ciencias, Universidad de Granada, Granada, Andalucia, Spain.
    Alba-Sánchez F; Departamento de Botánica, Facultad de Ciencias, Universidad de Granada, Granada, Andalucia, Spain.
    Zheng Z; School of Earth Science and Geological Engineering, Sun Yat-Sen University, Guangzhou, China.
    De Oliveira PE; Institute of Geosciences, University of São Paulo, São Paulo, SP, Brazil. .; Science Action, The Field Museum of Natural History, Chicago, Illinois, US. .; Institute of Biosciences, University of São Paulo, São Paulo, SP, Brazil. .
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    Źródło:
    Scientific reports [Sci Rep] 2019 Nov 29; Vol. 9 (1), pp. 17912. Date of Electronic Publication: 2019 Nov 29.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
      Wyświetlanie 1-6 z 6

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