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Détail de l'auteur
Auteur Christos DAVATZIKOS |
Documents disponibles écrits par cet auteur (2)
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Commentary to ?Translational machine learning for child and adolescent psychiatry? / Christos DAVATZIKOS in Journal of Child Psychology and Psychiatry, 63-4 (April 2022)
[article]
Titre : Commentary to ?Translational machine learning for child and adolescent psychiatry? Type de document : Texte imprimé et/ou numérique Auteurs : Christos DAVATZIKOS, Auteur ; Theodore D. SATTERTHWAITE, Auteur Article en page(s) : p.444-446 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : In this commentary on ?Translational Machine Learning for Child and Adolescent Psychiatry,? by Dwyer and Koutsouleris, we summarize some of the main points made by the authors, which highlight the importance of emerging applications of machine learning for psychiatric disorders in youth but also emphasize principles of good practice. We also offer complementary insights regarding large-scale training, harmonization, and the ability of these artificial intelligence models to adapt to new datasets, which is critical for their stability across imaging centers, and hence for their widespread clinical adoption. En ligne : https://doi.org/10.1111/jcpp.13593 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475
in Journal of Child Psychology and Psychiatry > 63-4 (April 2022) . - p.444-446[article] Commentary to ?Translational machine learning for child and adolescent psychiatry? [Texte imprimé et/ou numérique] / Christos DAVATZIKOS, Auteur ; Theodore D. SATTERTHWAITE, Auteur . - p.444-446.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-4 (April 2022) . - p.444-446
Index. décimale : PER Périodiques Résumé : In this commentary on ?Translational Machine Learning for Child and Adolescent Psychiatry,? by Dwyer and Koutsouleris, we summarize some of the main points made by the authors, which highlight the importance of emerging applications of machine learning for psychiatric disorders in youth but also emphasize principles of good practice. We also offer complementary insights regarding large-scale training, harmonization, and the ability of these artificial intelligence models to adapt to new datasets, which is critical for their stability across imaging centers, and hence for their widespread clinical adoption. En ligne : https://doi.org/10.1111/jcpp.13593 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475 Offering to Share: How to Put Heads Together in Autism Neuroimaging / Matthew K. BELMONTE in Journal of Autism and Developmental Disorders, 38-1 (January 2008)
[article]
Titre : Offering to Share: How to Put Heads Together in Autism Neuroimaging Type de document : Texte imprimé et/ou numérique Auteurs : Matthew K. BELMONTE, Auteur ; Anders M. DALE, Auteur ; Christos DAVATZIKOS, Auteur ; Guido GERIG, Auteur ; Martha R. HERBERT, Auteur ; Robert T. SCHULTZ, Auteur ; Janet E. LAINHART, Auteur ; Declan G. MURPHY, Auteur ; Thomas A. ZEFFIRO, Auteur ; Susan LEVI-PEARL, Auteur ; Clara LAJONCHERE, Auteur ; Diane C. CHUGANI, Auteur ; Rita M. CANTOR, Auteur ; Elizabeth H. AYLWARD, Auteur ; Allan L. REISS, Auteur ; Joseph PIVEN, Auteur ; Nancy J. MINSHEW, Auteur ; Eric COURCHESNE, Auteur ; David G. AMARAL, Auteur ; John C. MAZZIOTTA, Auteur ; Alan C. EVANS, Auteur ; Stephen R. DAGER, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Sophia A. COLAMARINO, Auteur Année de publication : 2008 Article en page(s) : p.2-13 Langues : Anglais (eng) Mots-clés : Imaging MRI PET Morphometry Segmentation Data-sharing Index. décimale : PER Périodiques Résumé : Data sharing in autism neuroimaging presents scientific, technical, and social obstacles. We outline the desiderata for a data-sharing scheme that combines imaging with other measures of phenotype and with genetics, defines requirements for comparability of derived data and recommendations for raw data, outlines a core protocol including multispectral structural and diffusion-tensor imaging and optional extensions, provides for the collection of prospective, confound-free normative data, and extends sharing and collaborative development not only to data but to the analytical tools and methods applied to these data. A theme in these requirements is the need to preserve creative approaches and risk-taking within individual laboratories at the same time as common standards are provided for these laboratories to build on.
En ligne : http://dx.doi.org/10.1007/s10803-006-0352-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=315
in Journal of Autism and Developmental Disorders > 38-1 (January 2008) . - p.2-13[article] Offering to Share: How to Put Heads Together in Autism Neuroimaging [Texte imprimé et/ou numérique] / Matthew K. BELMONTE, Auteur ; Anders M. DALE, Auteur ; Christos DAVATZIKOS, Auteur ; Guido GERIG, Auteur ; Martha R. HERBERT, Auteur ; Robert T. SCHULTZ, Auteur ; Janet E. LAINHART, Auteur ; Declan G. MURPHY, Auteur ; Thomas A. ZEFFIRO, Auteur ; Susan LEVI-PEARL, Auteur ; Clara LAJONCHERE, Auteur ; Diane C. CHUGANI, Auteur ; Rita M. CANTOR, Auteur ; Elizabeth H. AYLWARD, Auteur ; Allan L. REISS, Auteur ; Joseph PIVEN, Auteur ; Nancy J. MINSHEW, Auteur ; Eric COURCHESNE, Auteur ; David G. AMARAL, Auteur ; John C. MAZZIOTTA, Auteur ; Alan C. EVANS, Auteur ; Stephen R. DAGER, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Sophia A. COLAMARINO, Auteur . - 2008 . - p.2-13.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 38-1 (January 2008) . - p.2-13
Mots-clés : Imaging MRI PET Morphometry Segmentation Data-sharing Index. décimale : PER Périodiques Résumé : Data sharing in autism neuroimaging presents scientific, technical, and social obstacles. We outline the desiderata for a data-sharing scheme that combines imaging with other measures of phenotype and with genetics, defines requirements for comparability of derived data and recommendations for raw data, outlines a core protocol including multispectral structural and diffusion-tensor imaging and optional extensions, provides for the collection of prospective, confound-free normative data, and extends sharing and collaborative development not only to data but to the analytical tools and methods applied to these data. A theme in these requirements is the need to preserve creative approaches and risk-taking within individual laboratories at the same time as common standards are provided for these laboratories to build on.
En ligne : http://dx.doi.org/10.1007/s10803-006-0352-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=315