Meiping Huang | DeepAI

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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...

0 An Zeng, et al. ∙

∙ 10/23/2021

"One-Shot" Reduction of Additive Artifacts in Medical Images

Medical images may contain various types of artifacts with different pat...

0 Yu-Jen Chen, et al. ∙

∙ 09/14/2021

Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography

Automatic myocardial segmentation of contrast echocardiography has shown...

0 Dewen Zeng, et al. ∙

∙ 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...

12 Zeyang Yao, et al. ∙

∙ 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...

0 Dewen Zeng, et al. ∙

∙ 06/16/2021

Positional Contrastive Learning for Volumetric Medical Image Segmentation

The success of deep learning heavily depends on the availability of larg...

0 Dewen Zeng, et al. ∙

∙ 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,...

0 Tianchen Wang, et al. ∙

∙ 04/25/2021

Quantization of Deep Neural Networks for Accurate EdgeComputing

Deep neural networks (DNNs) have demonstrated their great potential in r...

0 Wentao Chen, et al. ∙

∙ 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 (...

0 Xiaowe Xu, et al. ∙

∙ 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, ...

0 Xiaowei Xu, et al. ∙

∙ 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...

1 Yutian Chen, et al. ∙

∙ 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...

32 Shao-Cheng Wen, et al. ∙

∙ 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...

0 Dewen Zeng, et al. ∙

∙ 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...

0 Tianchen Wang, et al. ∙

∙ 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 ...

0 Jinglan Liu, et al. ∙

∙ 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...

0 Tianchen Wang, et al. ∙

∙ 07/06/2019

Accurate Congenital Heart Disease ModelGeneration for 3D Printing

3D printing has been widely adopted for clinical decision making and int...

3 Xiaowei Xu, et al. ∙

∙ 07/06/2019

Accurate Congenital Heart Disease Model Generation for 3D Printing

3D printing has been widely adopted for clinical decision making and int...

1 Xiaowei Xu, et al. ∙

∙ 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...

0 Zihao Liu, et al. ∙

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