Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research

20 January 2023

Papers citing "Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research"

6 / 6 papers shown

Title
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 25 22 0 26 Jul 2022
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction Marc-Andre Schulz B. Thirion Alexandre Gramfort Gaël Varoquaux D. Bzdok 34 1 0 12 Oct 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 286 10,613 0 19 Feb 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 239 31,253 0 16 Jan 2013