15 citations · 17 across the 4 of their papers we have counts for
4 papers
Auto robust relative radiometric normalization via latent change noise modelling
Shiqi Liu, Lu Wang, Jie Lian +9
Relative radiometric normalization(RRN) of different satellite images of the same terrain is necessary for change detection, object classification/segmentation, and map-making task…
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…
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results
Jie Lian, Jingyu Liu, Yizhou Yu +9
The detection of thoracic abnormalities challenge is organized by the Deepwise AI Lab. The challenge is divided into two rounds. In this paper, we present the results of 6 teams wh…
ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities
Jingyu Liu, Jie Lian, Yizhou Yu
Instance level detection of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Most existing works on chest X-rays focus on disease class…