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MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction.

, , , , , , and . ML4MHD, volume 14315 of Lecture Notes in Computer Science, page 141-154. Springer, (2023)

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Bayesian Models of Functional Connectomics and Behavior.. CoRR, (2023)MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction., , , , , , and . ML4MHD, volume 14315 of Lecture Notes in Computer Science, page 141-154. Springer, (2023)Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study., , , , , , , , , and 3 other author(s). AMAI@MICCAI, volume 14313 of Lecture Notes in Computer Science, page 165-175. Springer, (2023)Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data., , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 709-717. Springer, (2019)A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes., , , , , and . MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 625-636. Springer, (2021)A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes., , , , , , and . CoRR, (2021)A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism., , , , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 437-447. Springer, (2020)M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations., , , , , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 119-130. PMLR, (2021)A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data., , , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 163-171. Springer, (2018)Predicting Acute Kidney Injury via Interpretable Ensemble Learning and Attention Weighted Convoutional-Recurrent Neural Networks., , , , and . CISS, page 1-6. IEEE, (2021)