activity
20202026
most citedSemantic Segmentation Using Deep Learning to Extract Total Extraocular Muscles and Optic Nerve from Orbital Computed Tomography Images

45 citations · 93 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

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…

eess.IV2024★ 2 cited

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…

eess.IV2023★ 1 cited

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…

eess.IV2023

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…

eess.IV2022★ 10 cited

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…

eess.IV2022★ 33 cited

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…