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07/14/2023
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey
Deep learning (DL) models have been popular due to their ability to lear...
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09/07/2022
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
Recent neuroimaging studies that focus on predicting brain disorders via...
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05/17/2021
Algorithm-Agnostic Explainability for Unsupervised Clustering
Supervised machine learning explainability has greatly expanded in recen...
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03/29/2021
Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data
Self-supervised learning has enabled significant improvements on natural...
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02/18/2021
Efficient Distributed Auto-Differentiation
Although distributed machine learning has opened up numerous frontiers o...
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12/25/2020
Taxonomy of multimodal self-supervised representation learning
Sensory input from multiple sources is crucial for robust and coherent h...
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12/25/2020
On self-supervised multi-modal representation learning: An application to Alzheimer's disease
Introspection of deep supervised predictive models trained on functional...
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07/29/2020
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations
Behavioral changes are the earliest signs of a mental disorder, but argu...
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11/11/2019
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion
In the last two decades, unsupervised latent variable models—blind sourc...
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10/28/2019
Improved Differentially Private Decentralized Source Separation for fMRI Data
Blind source separation algorithms such as independent component analysi...
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11/18/2017
Run, skeleton, run: skeletal model in a physics-based simulation
In this paper, we present our approach to solve a physics-based reinforc...
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11/03/2016
Recurrent Neural Networks for Spatiotemporal Dynamics of Intrinsic Networks from fMRI Data
Functional magnetic resonance imaging (fMRI) of temporally-coherent bloo...
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03/21/2016
Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data
Independent component analysis (ICA), as an approach to the blind source...
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12/20/2013
