27 citations · 181 across the 39 of their papers we have counts for
4 papers · 1 filter
End-to-end learning of brain tissue segmentation from imperfect labeling
Alex Fedorov, Jeremy Johnson, Eswar Damaraju +3
Segmenting a structural magnetic resonance imaging (MRI) scan is an important pre-processing step for analytic procedures and subsequent inferences about longitudinal tissue change…
Spatio-temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks
R Devon Hjelm, Eswar Damaraju, Kyunghyun Cho +3
We introduce a novel recurrent neural network (RNN) approach to account for temporal dynamics and dependencies in brain networks observed via functional magnetic resonance imaging…
Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data
R. Devon Hjelm, Sergey M. Plis, Vince C. Calhoun
Independent component analysis (ICA), as an approach to the blind source-separation (BSS) problem, has become the de-facto standard in many medical imaging settings. Despite succes…
Causal Discovery from Subsampled Time Series Data by Constraint Optimization
Antti Hyttinen, Sergey Plis, Matti Järvisalo +2
This paper focuses on causal structure estimation from time series data in which measurements are obtained at a coarser timescale than the causal timescale of the underlying system…