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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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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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10/20/2020
Cross-Modal Information Maximization for Medical Imaging: CMIM
In hospitals, data are siloed to specific information systems that make ...
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10/29/2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
Millions of blind and visually-impaired (BVI) people navigate urban envi...
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11/25/2018
A Survey of Mobile Computing for the Visually Impaired
The number of visually impaired or blind (VIB) people in the world is es...
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06/06/2018
Learning to rank for censored survival data
Survival analysis is a type of semi-supervised ranking task where the ta...
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05/22/2018
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
This paper discusses how distribution matching losses, such as those use...
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05/29/2017