Fader Networks for domain adaptation on fMRI: ABIDE-II study

14 October 2020

Papers citing "Fader Networks for domain adaptation on fMRI: ABIDE-II study"

7 / 7 papers shown

Title
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study A. E. Gazzar Mirjam Quaak L. Cerliani Peter Bloem G. Wingen R. Thomas 37 35 0 14 Feb 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 59 353 0 16 Jan 2020
Ensemble learning with 3D convolutional neural networks for connectome-based prediction Meenakshi Khosla K. Jamison Amy Kuceyeski M. Sabuncu 3DV 21 88 0 11 Sep 2018
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks J. Dakka P. Bashivan Mina Gheiratmand Irina Rish S. Jha Russell Greiner 47 50 0 01 Dec 2017
Fader Networks: Manipulating Images by Sliding Attributes Guillaume Lample Neil Zeghidour Nicolas Usunier Antoine Bordes Ludovic Denoyer MarcÁurelio Ranzato DRL GAN 88 545 0 01 Jun 2017
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example Alexandre Abraham M. Milham A. di Martino Cameron R. Craddock Dimitris Samaras Bertrand Thirion Gaël Varoquaux 36 570 0 18 Nov 2016
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 221 5,990 0 26 Sep 2014