Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Authors :: Dmitry, Petrov
Gutman, Boris A.
Egor, Kuznetsov
van Erp, Theo G. M.
Turner, Jessica A.
Lianne, Schmaal
Dick, Veltman
Lei, Wang
Kathryn, Alpert
Dmitry, Isaev
Artemis, Zavaliangos-Petropulu
Ching, Christopher R. K.
Vince, Calhoun
David, Glahn
Satterthwaite, Theodore D.
Ole Andreas Andreassen
Stefan, Borgwardt
Fleur, Howells
Nynke, Groenewold
Aristotle, Voineskos
Joaquim, Radua
Potkin, Steven G.
Benedicto, Crespo-Facorro
Diana, Tordesillas-Gutirrez
Shen, Li
Irina, Lebedeva
Gianfranco, Spalletta
Gary, Donohoe
Peter, Kochunov
Rosa, Pedro G. P.
Anthony, James
Udo, Dannlowski
Baune, Bernhard T.
Andr, Aleman
Gotlib, Ian H.
Henrik, Walter
Martin, Walter
Soares, Jair C.
Stefan, Ehrlich
Gur, Ruben C.
Trung Doan, N.
Ingrid, Agartz
Westlye, Lars T.
Fabienne, Harrisberger
Anita Riecher-R ossler
Anne, Uhlmann
Stein, Dan J.
Dickie, Erin W.
Edith, Pomarol-Clotet
Paola, Fuentes-Claramonte
Erick Jorge Canales-Rodrguez
Raymond, Salvador
Huang, Alexander J.
Roberto, Roiz-Santiaez
Shan, Cong
Alexander, Tomyshev
Piras, Fabrizio
Vecchio, Daniela
Nerisa, Banaj
Ciullo, Valentina
Elliot, Hong
Geraldo, Busatto
Zanetti, Marcus V.
Serpa, Mauricio H.
Simon, Cervenka
Sinead, Kelly
Dominik, Grotegerd
Sacchet, Matthew D.
Veer, Ilya M.
Meng, Li
Mon-Ju, Wu
Benson, Irungu
Thompson, Esther Walton and Paul M.
for the ENIGMA consortium
Publication Year :: 2018

Subjects :: deep learning, subcortical shape analysis, quality checking
deep learning
quality checking
subcortical shape analysis

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