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20152024
most citedMulti-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

89 citations · 256 across the 17 of their papers we have counts for

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7 papers · 1 filter

eess.IV2023★ 11 cited

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge

Gongning Luo, Kuanquan Wang, Jun Liu +27

Efficient automatic segmentation of multi-level (i.e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications. However, most exist…

eess.IV2023★ 19 cited

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge

Xiangyu Li, Gongning Luo, Kuanquan Wang +31

Automatic intracranial hemorrhage segmentation in 3D non-contrast head CT (NCCT) scans is significant in clinical practice. Existing hemorrhage segmentation methods usually ignores…

eess.IV2022

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Dong Liang, Jun Liu, Kuanquan Wang +3

The morphological changes in knee cartilage (especially femoral and tibial cartilages) are closely related to the progression of knee osteoarthritis, which is expressed by magnetic…

eess.IV2022

ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment

Xiangyu Li, Xinjie Liang, Gongning Luo +3

Neoadjuvant therapy (NAT) for breast cancer is a common treatment option in clinical practice. Tumor cellularity (TC), which represents the percentage of invasive tumors in the tum…

eess.IV2021★ 33 cited

Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries

Xinghua Ma, Gongning Luo, Wei Wang +1

Coronary artery disease (CAD) has posed a leading threat to the lives of cardiovascular disease patients worldwide for a long time. Therefore, automated diagnosis of CAD has indisp…

eess.IV2019★ 5 cited

Multi-step Cascaded Networks for Brain Tumor Segmentation

Xiangyu Li, Gongning Luo, Kuanquan Wang

Automatic brain tumor segmentation method plays an extremely important role in the whole process of brain tumor diagnosis and treatment. In this paper, we propose a multi-step casc…

eess.IV2019★ 1 cited

An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image

Yashu Liu, Wei Wang, Kuanquan Wang +2

LGE CMR is an efficient technology for detecting infarcted myocardium. An efficient and objective ventricle segmentation method in LGE can benefit the location of the infarcted myo…