activity
20162021
most citedSegAN: Adversarial Network with Multi-scale Loss for Medical Image Segmentation

624 citations · 997 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 13 cited

Shape-Aware Organ Segmentation by Predicting Signed Distance Maps

Yuan Xue, Hui Tang, Zhi Qiao +6

In this work, we propose to resolve the issue existing in current deep learning based organ segmentation systems that they often produce results that do not capture the overall sha…

cs.CV2019★ 4 cited

Selective Synthetic Augmentation with Quality Assurance

Yuan Xue, Jiarong Ye, Rodney Long +3

Supervised training of an automated medical image analysis system often requires a large amount of expert annotations that are hard to collect. Moreover, the proportions of data av…

cs.CV2019

Neural Wireframe Renderer: Learning Wireframe to Image Translations

Yuan Xue, Zihan Zhou, Xiaolei Huang

In architecture and computer-aided design, wireframes (i.e., line-based models) are widely used as basic 3D models for design evaluation and fast design iterations. However, unlike…

cs.CL2019★ 1 cited

What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis

Xiaolei Huang, Jonathan May, Nanyun Peng

Building named entity recognition (NER) models for languages that do not have much training data is a challenging task. While recent work has shown promising results on cross-lingu…

eess.IV2019★ 6 cited

Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification

Yuan Xue, Qianying Zhou, Jiarong Ye +5

Cervical intraepithelial neoplasia (CIN) grade of histopathology images is a crucial indicator in cervical biopsy results. Accurate CIN grading of epithelium regions helps patholog…