activity
20202022
most citedA Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images

7 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG20221 cited

A New Hip Fracture Risk Index Derived from FEA-Computed Proximal Femur Fracture Loads and Energies-to-Failure

Xuewei Cao, Joyce H Keyak, Sigurdur Sigurdsson +7

Hip fracture risk assessment is an important but challenging task. Quantitative CT-based patient specific finite element analysis (FEA) computes the force (fracture load) to break…

cs.CV20212 cited

A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images

Fubao Zhu, Zhengyuan Gao, Chen Zhao +5

Intravascular ultrasound (IVUS) imaging allows direct visualization of the coronary vessel wall and is suitable for the assessment of atherosclerosis and the degree of stenosis. Ac…

cs.CV2021

A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images

Yu Deng, Ling Wang, Chen Zhao +4

Automatic CT segmentation of proximal femur is crucial for the diagnosis and risk stratification of orthopedic diseases; however, current methods for the femur CT segmentation main…

eess.IV20212 cited

A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms

Chen Zhao, Haipeng Tang, Daniel McGonigle +6

In stable coronary artery disease (CAD), reduction in mortality and/or myocardial infarction with revascularization over medical therapy has not been reliably achieved. Coronary ar…

physics.med-ph20207 cited

A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images

Chen Zhao, Joyce H. Keyak, Jinshan Tang +10

Purpose: Proximal femur image analyses based on quantitative computed tomography (QCT) provide a method to quantify the bone density and evaluate osteoporosis and risk of fracture.…

physics.med-ph2020

3D Fusion between Fluoroscopy Angiograms and SPECT Myocardial Perfusion Images to Guide Percutaneous Coronary Intervention

Haipeng Tang, Robert R. Bober, Chen Zhao +5

Background. Percutaneous coronary intervention(PCI) in stable coronary artery disease(CAD) is commonly triggered by abnormal myocardial perfusion imaging(MPI). However, due to the…