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Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data., , , , and . CoRR, (2022)Adaptive Volumetric Anatomy Visualization in VR with Tangible Control., , , , , , , , and . ISMAR-Adjunct, page 613-614. IEEE, (2023)Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI., , , , , , , and . IVMSP, page 1-5. IEEE, (2022)CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs., , , , and . CoRR, (2022)Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness., , , , , and . EMBC, page 3267-3272. IEEE, (2021)Fusing multimodal neuroimaging data with a variational autoencoder., , , , , and . EMBC, page 3630-3633. IEEE, (2021)Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment., , , and . Comput. Biol. Medicine, (July 2023)Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia., , , and . ISBI, page 1-5. IEEE, (2023)Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels., , , , , , , and . ISBI, page 1698-1701. IEEE, (2020)Can recurrent models know more than we do?, , , , , , and . ICHI, page 243-247. IEEE, (2021)