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11/03/2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
Cardiovascular disease (CVD) accounts for about half of non-communicable...
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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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09/01/2021
ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection
Type-B Aortic Dissection (TBAD) is one of the most serious cardiovascula...
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06/29/2021
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
Most existing deep learning-based frameworks for image segmentation assu...
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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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05/18/2021
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis
Patent foramen ovale (PFO) is a potential separation between the septum,...
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04/25/2021
Quantization of Deep Neural Networks for Accurate EdgeComputing
Deep neural networks (DNNs) have demonstrated their great potential in r...
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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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11/04/2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective
Deep learning had already demonstrated its power in medical images, incl...
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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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02/27/2020
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising
CT image denoising can be treated as an image-to-image translation task ...
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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
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Cloud based medical image analysis has become popular recently due to th...
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06/26/2018
