Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations - D’Souza, N.S.; Nebel, M.B.; Crocetti, D.; Robinson, J.; Wymbs, N.; Mostofsky, S.H.; Venkataraman, A. (NeuroImage (Orlando, Fla.), 2021)
Keywords: Alzheimer's disease; Autism; Autism Spectrum Disorder - diagnostic imaging; Autism Spectrum Disorder - physiopathology; Brain architecture; Brain mapping; Clinical severity; Cognition; Connectome - methods; Databases, Factual; Deep Learning; Dictionaries; Diffusion tensor imaging; Diffusion Tensor Imaging - methods; Dynamic dictionary learning; Functional magnetic resonance imaging; Humans; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Medical imaging; Multimodal Imaging - methods; Multimodal integration; Neural networks; Neural Networks, Computer; Neuroimaging; Schizophrenia; Structural regularization; Functional magnetic resonance imaging; Dynamic dictionary learning; Clinical severity; Multimodal integration; Structural regularization; Diffusion tensor imaging