activity
20202022
most citedIdentification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System

24 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

Compound Domain Generalization via Meta-Knowledge Encoding

Chaoqi Chen, Jiongcheng Li, Xiaoguang Han +2

Domain generalization (DG) aims to improve the generalization performance for an unseen target domain by using the knowledge of multiple seen source domains. Mainstream DG methods…

cs.AI2021★ 24 cited

Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System

Gang Yu, Zhongzhi Yu, Yemin Shi +7

Respiratory diseases, including asthma, bronchitis, pneumonia, and upper respiratory tract infection (RTI), are among the most common diseases in clinics. The similarities among th…

eess.IV2021★ 2 cited

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

Jie Lian, Jingyu Liu, Shu Zhang +4

Instance level detection and segmentation of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Leveraging on constant structure and dise…

eess.IV2020★ 1 cited

Adaptive noise imitation for image denoising

Huangxing Lin, Yihong Zhuang, Yue Huang +4

The effectiveness of existing denoising algorithms typically relies on accurate pre-defined noise statistics or plenty of paired data, which limits their practicality. In this work…

cs.CV2020★ 2 cited

Generator Versus Segmentor: Pseudo-healthy Synthesis

Zhang Yunlong, Li Chenxin, Lin Xin +6

This paper investigates the problem of pseudo-healthy synthesis that is defined as synthesizing a subject-specific pathology-free image from a pathological one. Recent approaches b…