Weihua Zhou

Weihua Zhou

Michigan Technological University

H-index: 19

North America-United States

About Weihua Zhou

Weihua Zhou, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Michigan Technological University, specializes in the field of Medical Imaging and Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA

A new hip fracture risk index derived from FEA-computed proximal femur fracture loads and energies-to-failure

A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images

The influence of arm positions on mechanical dyssynchrony measured by gated myocardial perfusion imaging

3D Fusion Between SPECT Myocardial Perfusion Imaging and Invasive Coronary Angiography to Guide Revascularization in Patients With Stable Coronary Artery Disease

Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection

ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation

Deep learning-based diagnosis of disease activity in patients with Graves’ orbitopathy using orbital SPECT/CT

Weihua Zhou Information

University

Position

___

Citations(all)

1480

Citations(since 2020)

1316

Cited By

528

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

37

i10Index(since 2020)

30

Email

University Profile Page

Michigan Technological University

Google Scholar

View Google Scholar Profile

Weihua Zhou Skills & Research Interests

Medical Imaging and Informatics

Top articles of Weihua Zhou

Title

Journal

Author(s)

Publication Date

Point cloud-based registration and image fusion between cardiac SPECT MPI and CTA

arXiv preprint arXiv:2402.06841

Shaojie Tang

Penpen Miao

Xingyu Gao

Yu Zhong

Dantong Zhu

...

2024/2/10

A new hip fracture risk index derived from FEA-computed proximal femur fracture loads and energies-to-failure

Osteoporosis International

Xuewei Cao

Joyce H Keyak

Sigurdur Sigurdsson

Chen Zhao

Weihua Zhou

...

2024/1/22

A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images

Computers in biology and medicine

Fubao Zhu

Longxi Li

Jinyu Zhao

Chen Zhao

Shaojie Tang

...

2023/6/1

The influence of arm positions on mechanical dyssynchrony measured by gated myocardial perfusion imaging

Quantitative Imaging in Medicine and Surgery

Zhongqiang Zhao

Cheng Wang

Zeyu Peng

Ju Bu

Chunxiang Li

...

2023/10/10

3D Fusion Between SPECT Myocardial Perfusion Imaging and Invasive Coronary Angiography to Guide Revascularization in Patients With Stable Coronary Artery Disease

medRxiv

Zhihui Xu

Saurabh Malhotra

Chen Zhao

Jingfeng Jiang

Aviral Vij

...

2023

Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection

arXiv preprint arXiv:2301.12340

Ni Yao

Yanhui Tian

Daniel Gama das Neves

Chen Zhao

Claudio Tinoco Mesquita

...

2023/1/29

ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation

Complex & Intelligent Systems

Chen Zhao

Joyce H Keyak

Jinshan Tang

Tadashi S Kaneko

Sundeep Khosla

...

2023/6

Deep learning-based diagnosis of disease activity in patients with Graves’ orbitopathy using orbital SPECT/CT

European journal of nuclear medicine and molecular imaging

Ni Yao

Longxi Li

Zhengyuan Gao

Chen Zhao

Yanting Li

...

2023/10

EAGMN: Coronary artery semantic labeling using edge attention graph matching network

Computers in Biology and Medicine

Chen Zhao

Zhihui Xu

Guang-Uei Hung

Weihua Zhou

2023/11/1

A novel method using machine learning to integrate features from lung and epicardial adipose tissue for detecting the severity of COVID-19 infection

Ni Yao

Yanhui Tian

Neves DGd

Chen Zhao

Cláudio Tinoco Mesquita

...

2023/1/29

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

arXiv preprint arXiv:2305.02475

Kristoffer Larsena

Zhuo He

Chen Zhao

Xinwei Zhang

Quiying Sha

...

2023/5/4

Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling

arXiv preprint arXiv:2308.10320

Chen Zhao

Michele Esposito

Zhihui Xu

Weihua Zhou

2023/8/20

A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images

arXiv preprint arXiv:2311.00567

Ni Yao

Hang Hu

Kaicong Chen

Chen Zhao

Yuan Guo

...

2023/11/1

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms

Technology and Health Care

Yinghui Meng

Zhenglong Du

Chen Zhao

Minghao Dong

Drew Pienta

...

2023

Viabilidade do Implante de Eletrodo Ventricular Esquerdo na Terapia de Ressincronização Cardíaca Guiada por Gated SPECT e Remodelamento Ventricular

Arquivos Brasileiros de Cardiologia

Erivelton Alessandro do Nascimento

Fernando de Amorim Fernandes

Pedro Augusto Carvalho Mira

Zhuo He

Weihua Zhou

...

2023/4/3

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

European journal of nuclear medicine and molecular imaging

Fernando de A. Fernandes

Kristoffer Larsen

Zhuo He

Erivelton Nascimento

Amalia Peix

...

2023/8

AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms

Pattern Recognition

Chen Zhao

Zhihui Xu

Jingfeng Jiang

Michele Esposito

Drew Pienta

...

2023

Spatial‐temporal V‐Net for automatic segmentation and quantification of right ventricle on gated myocardial perfusion SPECT images

Medical Physics

Chen Zhao

Shi Shi

Zhuo He

Saurabh Malhotra

Cheng Wang

...

2023/12

Feasibility Of Left Ventricle Lead Implantation In Cardiac Resynchronization Therapy Guided By Gated Spect And Ventricular Remodeling

Arquivos brasileiros de cardiologia

Erivelton Alessandro do Nascimento

Fernando de Amorim Fernandes

Pedro Augusto Carvalho Mira

Zhuo He

Weihua Zhou

...

2023/4/3

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

arXiv preprint arXiv:2306.01210

Zhuo He

Hongjin Si

Xinwei Zhang

Qing-Hui Chen

Jiangang Zou

...

2023/6/2

See List of Professors in Weihua Zhou University(Michigan Technological University)