Search Results for author: Leixin Zhou

Found 6 papers, 0 papers with code

Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors

no code implementations2 Jul 2020 Leixin Zhou, Xiaodong Wu

Automated surface segmentation is important and challenging in many medical image analysis applications.

Semantic Segmentation

Unsupervised anomaly localization using VAE and beta-VAE

no code implementations19 May 2020 Leixin Zhou, Wenxiang Deng, Xiaodong Wu

An VAE trained on normal images is expected to only be able to reconstruct normal images, allowing the localization of anomalous pixels in an image via manipulating information within the VAE ELBO loss.

Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields

no code implementations11 Jun 2019 Leixin Zhou, Zisha Zhong, Abhay Shah, Bensheng Qiu, John Buatti, Xiaodong Wu

To the best of our knowledge, this is the first study to apply a 3-D neural network with a CRFs model for direct surface segmentation.

Semantic Segmentation

Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks

no code implementations25 May 2019 Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai

In this paper, we present a simple hypothesis about a feature compression property of artificial intelligence (AI) classifiers and present theoretical arguments to show that this hypothesis successfully accounts for the observed fragility of AI classifiers to small adversarial perturbations.

Robust Image Segmentation Quality Assessment

no code implementations MIDL 2019 Leixin Zhou, Wenxiang Deng, Xiaodong Wu

Deep learning based image segmentation methods have achieved great success, even having human-level accuracy in some applications.

Semantic Segmentation

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