activity
20182021
most citedWeakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

185 citations · 341 across the 10 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.IR2020★ 89 cited

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

Yikun Xian, Zuohui Fu, Handong Zhao +8

Recent research explores incorporating knowledge graphs (KG) into e-commerce recommender systems, not only to achieve better recommendation performance, but more importantly to gen…

cs.CV2020★ 9 cited

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

Jingru Yi, Pengxiang Wu, Bo Liu +3

Oriented object detection in aerial images is a challenging task as the objects in aerial images are displayed in arbitrary directions and are usually densely packed. Current orien…

eess.IV2020

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks

Qiaoying Huang, Eric Z. Chen, Hanchao Yu +4

Accurate estimation of shape thickness from medical images is crucial in clinical applications. For example, the thickness of myocardium is one of the key to cardiac disease diagno…

eess.IV2020

Enhanced MRI Reconstruction Network using Neural Architecture Search

Qiaoying Huang, Dong Yang, Yikun Xian +4

The accurate reconstruction of under-sampled magnetic resonance imaging (MRI) data using modern deep learning technology, requires significant effort to design the necessary comple…

cs.CV2020

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data

Meng Ye, Qiaoying Huang, Dong Yang +4

The 3D volumetric shape of the heart's left ventricle (LV) myocardium (MYO) wall provides important information for diagnosis of cardiac disease and invasive procedure navigation.…

cs.IR2020★ 10 cited

Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation

Yikun Xian, Zuohui Fu, Qiaoying Huang +2

Recent work on recommender systems has considered external knowledge graphs as valuable sources of information, not only to produce better recommendations but also to provide expla…