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10/23/2021
"One-Shot" Reduction of Additive Artifacts in Medical Images
Medical images may contain various types of artifacts with different pat...
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09/14/2021
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography
Automatic myocardial segmentation of contrast echocardiography has shown...
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06/16/2021
Positional Contrastive Learning for Volumetric Medical Image Segmentation
The success of deep learning heavily depends on the availability of larg...
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04/25/2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images
As one of the most commonly ordered imaging tests, computed tomography (...
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01/26/2021
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
Congenital heart disease (CHD) is the most common type of birth defect, ...
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12/29/2020
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis
Coronary artery disease (CAD) is the most common cause of death globally...
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08/17/2020
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation
Real-time cardiac magnetic resonance imaging (MRI) plays an increasingly...
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07/18/2020
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation
Real-time cine magnetic resonance imaging (MRI) plays an increasingly im...
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09/15/2019
MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation
Cardiac magnetic resonance imaging (MRI) is an essential tool for MRI-gu...
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07/06/2019
Accurate Congenital Heart Disease ModelGeneration for 3D Printing
3D printing has been widely adopted for clinical decision making and int...
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07/06/2019
Accurate Congenital Heart Disease Model Generation for 3D Printing
3D printing has been widely adopted for clinical decision making and int...
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04/09/2019