A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images, Fubao Zhu, Longxi Li, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Chuang Han, Zhixin Jiang, Weihua Zhou
Michigan Tech Publications

Texture analysis of SPECT myocardial perfusion provides prognostic value for dilated cardiomyopathy, Cheng Wang, Ying Ma, Yanyun Liu, Longxi Li, Chang Cui, Huiyuan Qin, Zhongqiang Zhao, Chunxiang Li, Weizhu Ju, Minglong Chen, Dianfu Li, Weihua Zhou
Michigan Tech Publications

Correction to: Predictive values of left ventricular mechanical dyssynchrony for CRT response in heart failure patients with different pathophysiology (Journal of Nuclear Cardiology, (2021), 10.1007/s12350-021-02796-3), Zhuo He, Dianfu Li, Chang Cui, Hui yuan Qin, Zhongqiang Zhao, Xiaofeng Hou, Jiangang Zou, Ming long Chen, Cheng Wang, Weihua Zhou
Michigan Tech Publications

Predictive values of left ventricular mechanical dyssynchrony for CRT response in heart failure patients with different pathophysiology, Zhuo He, Dianfu Li, Chang Cui, Hui-yuan Qin, Zhongqiang Zhao, Xiaofeng Hou, Weihua Zhou, et. al.
Michigan Tech Publications

A pilot study to determine if left ventricular activation time is a useful parameter for left bundle branch capture: Validated by ventricular mechanical synchrony with SPECT imaging, Zhiyong Qian, Yao Wang, Xiaofeng Hou, Yuanhao Qiu, Zeyu Jiang, Hongping Wu, Zhongqiang Zhao, Weihua Zhou, Jiangang Zou
Michigan Tech Publications