89 citations · 99 across the 5 of their papers we have counts for
5 papers
Weakly Supervised Arrhythmia Detection Based on Deep Convolutional Neural Network
Yang Liu, Kuanquan Wang, Qince Li +3
Supervised deep learning has been widely used in the studies of automatic ECG classification, which largely benefits from sufficient annotation of large datasets. However, most of…
Short-time detection of QRS complexes using dual channels 1 based on U-Net and bidirectional long short-term memory
Runnan He, Yang Liu, Kuanquan Wang +4
Cardiovascular disease is associated with high rates of morbidity and mortality, and can be reflected by 19 abnormal features of electrocardiogram (ECG). Detecting changes in the Q…
Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention
Yang Liu, Runnan He, Kuanquan Wang +4
Heart disease is one of the most common diseases causing morbidity and mortality. Electrocardiogram (ECG) has been widely used for diagnosing heart diseases for its simplicity and…
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination
Suyu Dong, Gongning Luo, Kuanquan Wang +5
3D left ventricle (LV) segmentation on echocardiography is very important for diagnosis and treatment of cardiac disease. It is not only because of that echocardiography is a real-…
Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images
Gongning Luo, Suyu Dong, Kuanquan Wang +3
Left ventricular (LV) volumes estimation is a critical procedure for cardiac disease diagnosis. The objective of this paper is to address direct LV volumes prediction task. Methods…