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Creators/Authors contains: "Nebel, Mary Beth"

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Group linear non-Gaussian component analysis with applications to neuroimaging

https://doi.org/10.1016/j.csda.2022.107454

Zhao, Yuxuan; Matteson, David S; Mostofsky, Stewart H; Nebel, Mary Beth; Risk, Benjamin B (July 2022, Computational Statistics & Data Analysis)

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A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

https://doi.org/10.1007/978-3-030-87234-2_59

D'Souza, Niharika Shimona; Nebel, Mary Beth; Crocetti, Deana; Robinson, Joshua; Mostofsky, Stewart; Venkataraman, Archana (September 2021, MICCAI: Medical Image Computing and Computer Assisted Intervention)

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M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations

D'Souza, Niharika Shimona; Nebel, Mary Beth; Crocetti, Deana; Robinson, Joshua; Mostofsky, Stewart; Venkataraman, Archana (January 2021, MIDL: Medical Imaging with Deep Learning)

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

D'Souza, Niharika Shimona; Nebel, Mary Beth; Wymbs, Nicholas; Mostofsky, Stewart; Venkataraman, Archana (October 2019, International Conference on Medical Image Computing and Computer-Assisted Intervention)

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A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism

https://doi.org/10.1007/978-3-030-59728-3_43

D’Souza, Niharika Shimona; Nebel, Mary Beth; Crocetti, Deana; Wymbs, Nicholas; Robinson, Joshua; Mostofsky, Stewart; Venkataraman, Archana (January 2020, International Conference on Medical Image Computing and Computer-Assisted Intervention)

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A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces

D'Souza, Niharika Shimona; Wymbs, Nicholas; Nebel, Mary Beth; Mostofsky, Stewart Venkataraman (June 2019, Information processing in medical imaging)

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Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge

https://doi.org/10.1016/j.media.2021.101972

Schirmer, Markus D.; Venkataraman, Archana; Rekik, Islem; Kim, Minjeong; Mostofsky, Stewart H.; Nebel, Mary Beth; Rosch, Keri; Seymour, Karen; Crocetti, Deana; Irzan, Hassna; et al (May 2021, Medical Image Analysis)
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