Aaron L. Goldman
According to our database1,
Aaron L. Goldman
authored at least 6 papers
between 2016 and 2022.
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Bibliography
2022
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space.
NeuroImage, 2021
G-MIND: an end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2019
A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2016
Automated Quality Assessment of Structural Magnetic Resonance Brain Images Based on a Supervised Machine Learning Algorithm.
Frontiers Neuroinformatics, 2016