papers
Publications (11)
cs.NE2018
Spatio-temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks
R Devon Hjelm, Eswar Damaraju, Kyunghyun Cho +3
cs.CV2018
Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR
Alvaro Ulloa, Sergey Plis, Vince Calhoun
q-bio.QM2013
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics
William Gray Roncal, Zachary H. Koterba, Disa Mhembere +10
cs.CV2017
End-to-end learning of brain tissue segmentation from imperfect labeling
Alex Fedorov, Jeremy Johnson, Eswar Damaraju +3
stat.ML2017
Kernel Method for Detecting Higher Order Interactions in multi-view Data: An Application to Imaging, Genetics, and Epigenetics
Md. Ashad Alam, Hui-Yi Lin, Vince Calhoun +1
q-bio.QM2016
Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis
Owen Richfield, Md. Ashad Alam, Vince Calhoun +1
q-bio.QM2017
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
Dmitry Petrov, Boris A. Gutman, Shih-Hua +72
cs.LG2018
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
R Devon Hjelm, Kyunghyun Cho, Junyoung Chung +3
q-bio.NC2018
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models
Dmitry Petrov, Boris A. Gutman Egor Kuznetsov, Theo G. M. van Erp +70
cs.CV2017
Almost instant brain atlas segmentation for large-scale studies
Alex Fedorov, Eswar Damaraju, Vince Calhoun +1
stat.ME2018
FDR-Corrected Sparse Canonical Correlation Analysis with Applications to Imaging Genomics
Alexej Gossmann, Pascal Zille, Vince Calhoun +1