45 citations · 93 across the 9 of their papers we have counts for
9 papers
Point Cloud Registration for Fusion between SPECT MPI and CTA Images
Ni Yao, Xiangyu Liu, Shaojie Tang +9
Clinical fusion of Single Photon Emission Computed Tomography Myocardial Perfusion Imaging (SPECT MPI) and Computed Tomography Angiography (CTA) remains limited by cross-modality m…
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention
Huan Huang, Liheng Qiu, Shenmiao Yang +7
Background: Accurate segmentation of diffuse large B-cell lymphoma (DLBCL) lesions is challenging due to their complex patterns in medical imaging. Objective: This study aims to de…
MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation
Fubao Zhu, Yanhui Tian, Chuang Han +4
The privacy protection mechanism of federated learning (FL) offers an effective solution for cross-center medical collaboration and data sharing. In multi-site medical image segmen…
Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection
Ni Yao, Yanhui Tian, Daniel Gama das Neves +9
Epicardial adipose tissue (EAT) is known for its pro-inflammatory properties and association with Coronavirus Disease 2019 (COVID-19) severity. However, current EAT segmentation me…
Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images
Fubao Zhu, Guojie Wang, Chen Zhao +6
Single photon emission computed tomography (SPECT) myocardial perfusion images (MPI) can be displayed both in traditional short-axis (SA) cardiac planes and polar maps for interpre…
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images
Fubao Zhu, Jinyu Zhao, Chen Zhao +8
Background: The assessment of left ventricular (LV) function by myocardial perfusion SPECT (MPS) relies on accurate myocardial segmentation. The purpose of this paper is to develop…
Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos
Yinghui Meng, Minghao Dong, Xumin Dai +8
Automatic identification of proper image frames at the end-diastolic (ED) and end-systolic (ES) frames during the review of invasive coronary angiograms (ICA) is important to asses…
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…
Semantic Segmentation Using Deep Learning to Extract Total Extraocular Muscles and Optic Nerve from Orbital Computed Tomography Images
Fubao Zhu, Zhengyuan Gao, Chen Zhao +7
Objectives: Precise segmentation of total extraocular muscles (EOM) and optic nerve (ON) is essential to assess anatomical development and progression of thyroid-associated ophthal…