13 citations · 33 across the 6 of their papers we have counts for
6 papers
Deep Recursive Embedding for High-Dimensional Data
Zixia Zhou, Xinrui Zu, Yuanyuan Wang +2
Embedding high-dimensional data onto a low-dimensional manifold is of both theoretical and practical value. In this paper, we propose to combine deep neural networks (DNN) with mat…
Deep Recursive Embedding for High-Dimensional Data
Zixia Zhou, Yuanyuan Wang, Boudewijn P. F. Lelieveldt +1
t-distributed stochastic neighbor embedding (t-SNE) is a well-established visualization method for complex high-dimensional data. However, the original t-SNE method is nonparametri…
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
Zhaohan Xiong, Qing Xia, Zhiqiang Hu +41
Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial fir…
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4
Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion
Wenjun Yan, Yuanyuan Wang, Zeju Li +2
Quantitative assessment of left ventricle (LV) function from cine MRI has significant diagnostic and prognostic value for cardiovascular disease patients. The temporal movement of…
Fully Automated Left Atrium Cavity Segmentation from 3D GE-MRI by Multi-Atlas Selection and Registration
Mengyun Qiao, Yuanyuan Wang, Rob J. van der Geest +1
This paper presents a fully automated method to segment the complex left atrial (LA) cavity, from 3D Gadolinium-enhanced magnetic resonance imaging (GE-MRI) scans. The proposed met…