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08/03/2023
CartiMorph: a framework for automated knee articular cartilage morphometrics
We introduce CartiMorph, a framework for automated knee articular cartil...
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07/06/2023
An Uncertainty Aided Framework for Learning based Liver T_1ρ Mapping and Analysis
Objective: Quantitative T_1ρ imaging has potential for assessment of bio...
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06/20/2023
CAMP-Net: Context-Aware Multi-Prior Network for Accelerated MRI Reconstruction
Despite promising advances in deep learning-based MRI reconstruction met...
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12/14/2022
Unsupervised Domain Adaptation for Automated Knee Osteoarthritis Phenotype Classification
Purpose: The aim of this study was to demonstrate the utility of unsuper...
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07/07/2022
Uncertainty-Aware Self-supervised Neural Network for Liver T_1ρ Mapping with Relaxation Constraint
T_1ρ mapping is a promising quantitative MRI technique for the non-invas...
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04/21/2022
Denoising of Three-Dimensional Fast Spin Echo Magnetic Resonance Images of Knee Joints using Spatial-Variant Noise-Relevant Residual Learning of Convolution Neural Network
Two-dimensional (2D) fast spin echo (FSE) techniques play a central role...
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11/24/2021
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
It is valuable to achieve domain adaptation to transfer the learned know...
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09/29/2021
Multipath CNN with alpha matte inference for knee tissue segmentation from MRI
Precise segmentation of knee tissues from magnetic resonance imaging (MR...
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09/13/2021
