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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)

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Dany D'Souza

An fMRI study of chromatic processing in humans: spatial and temporal characteristics of the cortical visual areas. Uni Göttingen, (2009)

Lawrence D'Souza

Christopher D'Souza

Shimona Löwenstein

Rochelle D'souza

 

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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., , , , , , и . ML4MHD, том 14315 из Lecture Notes in Computer Science, стр. 141-154. Springer, (2023)Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study., , , , , , , , , и 3 other автор(ы). AMAI@MICCAI, том 14313 из Lecture Notes in Computer Science, стр. 165-175. Springer, (2023)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)A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes., , , , , и . MICCAI (7), том 12907 из Lecture Notes in Computer Science, стр. 625-636. Springer, (2021)A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes., , , , , , и . CoRR, (2021)M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations., , , , , и . MIDL, том 143 из Proceedings of Machine Learning Research, стр. 119-130. PMLR, (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)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)Predicting Acute Kidney Injury via Interpretable Ensemble Learning and Attention Weighted Convoutional-Recurrent Neural Networks., , , , и . CISS, стр. 1-6. IEEE, (2021)