activity
20182021
most citedA post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2021

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation

Junjun He, Jin Ye, Cheng Li +5

Recent studies have witnessed the effectiveness of 3D convolutions on segmenting volumetric medical images. Compared with the 2D counterparts, 3D convolutions can capture the spati…

eess.IV2019

Prostate segmentation using Z-net

Yue Zhang, Jiong Wu, Wanli Chen +2

In this paper, we proposed a novel architecture of convolutional neural network (CNN), namely Z-net, for segmenting prostate from magnetic resonance images (MRIs). In the proposed…

cs.CV2018★ 3 cited

A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net

Yue Zhang, Wanli Chen, Yifan Chen +1

White matter hyperintensity (WMH) is commonly found in elder individuals and appears to be associated with brain diseases. U-net is a convolutional network that has been widely use…

cs.CV2018★ 2 cited

Prostate Segmentation using 2D Bridged U-net

Wanli Chen, Yue Zhang, Junjun He +4

In this paper, we focus on three problems in deep learning based medical image segmentation. Firstly, U-net, as a popular model for medical image segmentation, is difficult to trai…

cs.CV2018

Head Mounted Pupil Tracking Using Convolutional Neural Network

Yinheng Zhu, Wanli Chen, Xun Zhan +3

Pupil tracking is an important branch of object tracking which require high precision. We investigate head mounted pupil tracking which is often more convenient and precise than re…