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20172022
most citedCT Image Denoising with Perceptive Deep Neural Networks

57 citations · 101 across the 6 of their papers we have counts for

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10 papers · 1 filter

cs.CV2022

Distance Map Supervised Landmark Localization for MR-TRUS Registration

Xinrui Song, Xuanang Xu, Sheng Xu +4

In this work, we propose to explicitly use the landmarks of prostate to guide the MR-TRUS image registration. We first train a deep neural network to automatically localize a set o…

cs.CV201920 cited

Multi-hop Convolutions on Weighted Graphs

Qikui Zhu, Bo Du, Pingkun Yan

Graph Convolutional Networks (GCNs) have made significant advances in semi-supervised learning, especially for classification tasks. However, existing GCN based methods have two ma…

cs.CV20199 cited

Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation

Xueying Chen, Rong Zhang, Pingkun Yan

Liver lesion segmentation is a difficult yet critical task for medical image analysis. Recently, deep learning based image segmentation methods have achieved promising performance,…

cs.CV2019

Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

Qikui Zhu, Bo Du, Pingkun Yan

Accurate segmentation of the prostate from magnetic resonance (MR) images provides useful information for prostate cancer diagnosis and treatment. However, automated prostate segme…

cs.CV2019

Knowledge-based Analysis for Mortality Prediction from CT Images

Hengtao Guo, Uwe Kruger, Ge Wang +2

Recent studies have highlighted the high correlation between cardiovascular diseases (CVD) and lung cancer, and both are associated with significant morbidity and mortality. Low-Do…

cs.CV2018

Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images

Pingkun Yan, Hengtao Guo, Ge Wang +2

Known for its high morbidity and mortality rates, lung cancer poses a significant threat to human health and well-being. However, the same population is also at high risk for other…