36 citations · 107 across the 18 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 5 cited
Class-Aware Adversarial Lung Nodule Synthesis in CT Images
Jie Yang, Siqi Liu, Sasa Grbic +7
Though large-scale datasets are essential for training deep learning systems, it is expensive to scale up the collection of medical imaging datasets. Synthesizing the objects of in…
cs.CV2018★ 21 cited
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition
Siqi Liu, Eli Gibson, Sasa Grbic +5
The performance of medical image analysis systems is constrained by the quantity of high-quality image annotations. Such systems require data to be annotated by experts with years…
cs.LG2018★ 2 cited
Adversarial Attack Type I: Cheat Classifiers by Significant Changes
Sanli Tang, Xiaolin Huang, Mingjian Chen +2
Despite the great success of deep neural networks, the adversarial attack can cheat some well-trained classifiers by small permutations. In this paper, we propose another type of a…