427 citations · 3.3k across the 77 of their papers we have counts for
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Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules
Yiming Lei, Haiping Zhu, Junping Zhang +1
Deep learning-based methods have achieved promising performance in early detection and classification of lung nodules, most of which discard unsure nodules and simply deal with a b…
PFA-GAN: Progressive Face Aging with Generative Adversarial Network
Zhizhong Huang, Shouzhen Chen, Junping Zhang +1
Face aging is to render a given face to predict its future appearance, which plays an important role in the information forensics and security field as the appearance of the face t…
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography
Hanqing Chao, Hongming Shan, Fatemeh Homayounieh +7
Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer screening offers an op…
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
Haiping Zhu, Hongming Shan, Yuheng Zhang +5
Image ordinal estimation is to predict the ordinal label of a given image, which can be categorized as an ordinal regression problem. Recent methods formulate an ordinal regression…
Stabilizing Deep Tomographic Reconstruction
Weiwen Wu, Dianlin Hu, Wenxiang Cong +7
Tomographic image reconstruction with deep learning is an emerging field, but a recent landmark study reveals that several deep reconstruction networks are unstable for computed to…
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Chuang Niu, Wenxiang Cong, Fenglei Fan +4
Deep neural network based methods have achieved promising results for CT metal artifact reduction (MAR), most of which use many synthesized paired images for training. As synthesiz…
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
Qing Lyu, Hongming Shan, Yibin Xie +2
Cine cardiac magnetic resonance imaging (MRI) is widely used for diagnosis of cardiac diseases thanks to its ability to present cardiovascular features in excellent contrast. As co…