Zhuo He

发表

Analyze Informant-Based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning

Chaoyang Zhang, Weihua Zhou, G. Hung, 2020, IEEE Journal of Translational Engineering in Health and Medicine.

Clinical impacts of scar reduction on gated myocardial perfusion SPECT after cardiac resynchronization therapy

Shih‐Ann Chen, Weihua Zhou, Xinwei Zhang, 2021, Journal of Nuclear Cardiology.

Left ventricular systolic and diastolic dyssynchrony to improve cardiac resynchronization therapy response in heart failure patients with dilated cardiomyopathy

Ernest V. Garcia, Minglong Chen, Weihua Zhou, 2020, Journal of Nuclear Cardiology.

Semantic Segmentation to Extract Coronary Arteries in Invasive Coronary Angiograms

Jinshan Tang, Weihua Zhou, Haipeng Tang, 2022, Journal of Advances in Applied & Computational Mathematics.

Incremental value of left ventricular shape parameters measured by gated SPECT MPI in predicting the super-response to CRT

Ernest V. Garcia, C. Mesquita, Weihua Zhou, 2021, Journal of Nuclear Cardiology.

Prognostic value of integrative analysis of electrical and mechanical dyssynchrony in patients with acute heart failure

Xu Zhu, S. Liao, Iokfai Cheang, 2020, Journal of Nuclear Cardiology.

A method using deep learning to discover new predictors from left-ventricular mechanical dyssynchrony for CRT response

Weihua Zhou, Xinwei Zhang, Yao Wang, 2022, Journal of Nuclear Cardiology.

Development of an approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms

Chaoyang Zhang, Weihua Zhou, Haipeng Tang, 2022, Journal of medical imaging.

Machine learning for the diagnosis of pulmonary hypertension.

Xinli Li, Haifeng Zhang, Weihua Zhou, 2020, Kardiologiia.

3D fusion between fluoroscopy angiograms and SPECT myocardial perfusion images to guide percutaneous coronary intervention

Chen Zhao, Chaoyang Zhang, Huiqing Zhu, 2020, Journal of Nuclear Cardiology.

Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images

Chen Zhao, Jinshan Tang, Jungang Han, 2021, Pattern Recognition.

A new method using machine learning to integrate ECG and gated SPECT MPI for Cardiac Resynchronization Therapy Decision Support on behalf of the VISION-CRT

Ernest V. Garcia, C. Mesquita, Weihua Zhou, 2022, 2211.07472.

Machine Learning for the Preliminary Diagnosis of Dementia

Chaoyang Zhang, Xiaonan Li, Fubao Zhu, 2020, Sci. Program..

A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study

Yang Lei, Xiaofeng Yang, Tian Liu, 2019, Journal of Nuclear Cardiology.

Nuclear Image-Guided Methods for Cardiac Resynchronization Therapy

Ernest V. Garcia, Weihua Zhou, Zhuo He, 2021 .

Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images

Weihua Zhou, Fubao Zhu, S. Malhotra, 2022, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

Prognostic value of left ventricular mechanical dyssynchrony in hypertrophic cardiomyopathy patients with low risk of sudden cardiac death.

Weihua Zhou, Yanli Zhou, Wanying Jiang, 2020, Nuclear medicine communications.

Incremental value of myocardial wall motion and thickening to perfusion alone by gated SPECT myocardial perfusion imaging for viability assessment in patients with ischemic heart failure

Weihua Zhou, Sijin Li, Zhifang Wu, 2020, Journal of Nuclear Cardiology.

A novel method for ECG signal classification via one-dimensional convolutional neural network

Weihua Zhou, Chen Zhao, Jinshan Tang, 2020, Multimedia Systems.

A machine learning method integrating ECG and gated SPECT for cardiac resynchronization therapy decision support

Ernest V. Garcia, C. Mesquita, Weihua Zhou, 2022, European Journal of Nuclear Medicine and Molecular Imaging.

A new method using deep learning to predict the response to cardiac resynchronization therapy

C. Mesquita, Weihua Zhou, Q. Sha, 2023, ArXiv.

A method using deep learning to discover new predictors from left-ventricular mechanical dyssynchrony for CRT response

Weihua Zhou, Xinwei Zhang, Yao Wang, 2021, Journal of Nuclear Cardiology.

A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI pdf

Chen Zhao, Jiangang Zou, Xiaofeng Hou, 2021, ArXiv.

Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images

Shi-ming Shi, Xinli Li, Weihua Zhou, 2021, ArXiv.

Predictive values of left ventricular mechanical dyssynchrony for CRT response in heart failure patients with different pathophysiology

Minglong Chen, Weihua Zhou, Dianfu Li, 2021, Journal of Nuclear Cardiology.

Left-ventricular dyssynchrony in viable myocardium by myocardial perfusion SPECT is predictive of mechanical response to CRT

Ernest V. Garcia, Weihua Zhou, Xinwei Zhang, 2021, Annals of Nuclear Medicine.

A new method using deep learning to predict the response to cardiac resynchronization therapy

Weihua Zhou, Q. Sha, Xinwei Zhang, 2023, Medical Imaging Process & Technology.