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08/06/2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
Machine learning (ML) has shown great promise for revolutionizing a numb...
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06/05/2023
DAGrid: Directed Accumulator Grid
Recent research highlights that the Directed Accumulator (DA), through i...
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03/15/2023
DeDA: Deep Directed Accumulator
Chronic active multiple sclerosis lesions, also termed as rim+ lesions, ...
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01/19/2023
Spatially Covariant Lesion Segmentation
Compared to natural images, medical images usually show stronger visual ...
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05/26/2022
Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies
Despite the great promise that machine learning has offered in many fiel...
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06/12/2021
Harmonization with Flow-based Causal Inference
Heterogeneity in medical data, e.g., from data collected at different si...
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03/23/2021
Embracing the Disharmony in Heterogeneous Medical Data
Heterogeneity in medical imaging data is often tackled, in the context o...
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03/06/2021
NeRD: Neural Representation of Distribution for Medical Image Segmentation
We introduce Neural Representation of Distribution (NeRD) technique, a m...
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09/29/2020
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation
Multiple sclerosis (MS) lesions occupy a small fraction of the brain vol...
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09/13/2020
