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01/20/2022
SoftDropConnect (SDC) – Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis
Recently, deep learning has achieved remarkable successes in medical ima...
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10/07/2021
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images
The treatment decisions for brain metastatic disease are driven by knowl...
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06/23/2020
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
Cine cardiac magnetic resonance imaging (MRI) is widely used for diagnos...
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08/05/2019
Multi-Contrast Super-Resolution MRI Through a Progressive Network
Magnetic resonance imaging (MRI) is widely used for screening, diagnosis...
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07/06/2019
MRI Super-Resolution with Ensemble Learning and Complementary Priors
Magnetic resonance imaging (MRI) is a widely used medical imaging modali...
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10/24/2018