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

91 citations

researchers with a paper here

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

collaborating institutions
Showing 2019Show all

4 papers · 1 filter

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…

cs.LG2019★ 81 cited

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

Yi Zhong, Xueyu Chen, Yu Zhao +3

We propose an end-to-end model to predict drug-drug interactions (DDIs) by employing graph-augmented convolutional networks. And this is implemented by combining graph CNN with an…

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…