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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

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6 papers · 1 filter

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…

eess.IV2021

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…