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08/20/2023
How Good Are Large Language Models at Out-of-Distribution Detection?
Out-of-distribution (OOD) detection plays a vital role in enhancing the ...
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06/08/2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
Computed tomography (CT) is of great importance in clinical practice due...
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05/14/2021
One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
Magnetic resonance imaging (MRI) acquisition, reconstruction, and segmen...
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04/03/2021
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
Due to the presence of metallic implants, the imaging quality of compute...
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03/24/2021
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Lowering the radiation dose in computed tomography (CT) can greatly redu...
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10/27/2020
