output
20192025
most citedFully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks

91 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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5 papers · 1 filter

eess.IV2024

Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations

Ruige Zong, Tao Wang, Chunwang Li +8

Familial cerebral cavernous malformation (FCCM) is a hereditary disorder characterized by abnormal vascular structures within the central nervous system. The FCCM lesions are often…

eess.IV2021★ 30 cited

Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation

Shaohua Zheng, Zhiqiang Shen, Chenhao Peia +6

Background and Objective:Computer-aided diagnosis (CAD) systems promote diagnosis effectiveness and alleviate pressure of radiologists. A CAD system for lung cancer diagnosis inclu…

eess.IV2019★ 91 cited

Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks

Yuhua Chen, Dan Ruan, Jiayu Xiao +6

Segmentation of multiple organs-at-risk (OARs) is essential for radiation therapy treatment planning and other clinical applications. We developed an Automated deep Learning-based…

eess.IV2019★ 13 cited

Stain Style Transfer using Transitive Adversarial Networks

Shaojin Cai, Yuyang Xue3 Qinquan Gao, Min Du +3

Digitized pathological diagnosis has been in increasing demand recently. It is well known that color information is critical to the automatic and visual analysis of pathological sl…

eess.IV2019★ 52 cited

pISTA-SENSE-ResNet for Parallel MRI Reconstruction

Tieyuan Lu, Xinlin Zhang, Yihui Huang +6

Magnetic resonance imaging has been widely applied in clinical diagnosis, however, is limited by its long data acquisition time. Although imaging can be accelerated by sparse sampl…