activity
20182022
most citedWeakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

185 citations · 276 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

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

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★ 22 cited

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.CV2020★ 185 cited

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

Hui Qu, Pengxiang Wu, Qiaoying Huang +7

Nuclei segmentation is a fundamental task in histopathology image analysis. Typically, such segmentation tasks require significant effort to manually generate accurate pixel-wise a…

eess.IV2020★ 10 cited

Vertebra-Focused Landmark Detection for Scoliosis Assessment

Jingru Yi, Pengxiang Wu, Qiaoying Huang +2

Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises in children. Accurate estimation of Cobb angles of the scoliosis is essential for clinicians to make diagnos…