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04/10/2023
Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI
Longitudinal assessment of brain atrophy, particularly in the hippocampu...
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03/21/2023
Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases
Ex vivo MRI of the brain provides remarkable advantages over in vivo MRI...
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03/01/2023
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation
When developing tools for automated cortical segmentation, the ability t...
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10/14/2021
Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres
Ex vivo MRI of the brain provides remarkable advantages over in vivo MRI...
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09/08/2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning
Neuroimaging biomarkers that distinguish between typical brain aging and...
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03/19/2021
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline
Deep learning (DL) is the state-of-the-art methodology in various medica...
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10/24/2020
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease
Volume change measures derived from longitudinal MRI (e.g. hippocampal a...
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10/11/2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
Conventional and deep learning-based methods have shown great potential ...
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04/15/2019
