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Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data.

, , , , и . MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 709-717. Springer, (2019)

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Nicholas Kiefer

Nicholas Mitchell

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Nicholas Idoko

 

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A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes., , , , , , и . CoRR, (2021)A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism., , , , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 437-447. Springer, (2020)Cross-Linked Structure of Network Evolution, , , , и . (2013)cite arxiv:1306.5479Comment: 4.5 pages, 3 figures, supplementary materials.A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data., , , , и . MICCAI (3), том 11072 из Lecture Notes in Computer Science, стр. 163-171. Springer, (2018)A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort., , , и . CNI@MICCAI, том 10511 из Lecture Notes in Computer Science, стр. 60-69. Springer, (2017)Dynamic reconfiguration of human brain networks during learning, , , , , и . Proceedings of the National Academy of Sciences, 108 (18): 7641--7646 (03.05.2011)A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces., , , , и . IPMI, том 11492 из Lecture Notes in Computer Science, стр. 605-616. Springer, (2019)A joint network optimization framework to predict clinical severity from resting state functional MRI data., , , , и . NeuroImage, (2020)Brain signal analytics from graph signal processing perspective., , , , , и . ICASSP, стр. 851-855. IEEE, (2017)Robust Detection of Dynamic Community Structure in Networks, , , , , и . CoRR, (2012)