no code implementations • 16 Dec 2021 • Raunak Dey, Wenbo Sun, Haibo Xu, Yi Hong
In this paper we consider the problem of unsupervised anomaly segmentation in medical images, which has attracted increasing attention in recent years due to the expensive pixel-level annotations from experts and the existence of a large amount of unannotated normal and abnormal image scans.
1 code implementation • 5 Mar 2021 • Raunak Dey, Yi Hong
We introduce a neural network framework, utilizing adversarial learning to partition an image into two cuts, with one cut falling into a reference distribution provided by the user.
2 code implementations • 11 Sep 2019 • Raunak Dey, Yi Hong
Automatic liver lesion segmentation is a challenging task while having a significant impact on assisting medical professionals in the designing of effective treatment and planning proper care.
8 code implementations • 27 Mar 2018 • Raunak Dey, Yi Hong
Brain extraction is a fundamental step for most brain imaging studies.
2 code implementations • 19 Mar 2018 • Raunak Dey, Zhongjie Lu, Yi Hong
Lung cancer is the leading cause of cancer-related death worldwide.