3 citations · 3 across the 1 of their papers we have counts for
6 papers
Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images
Linchen Qian, Jiasong Chen, Linhai Ma +3
Lumbar disc degeneration, a progressive structural wear and tear of lumbar intervertebral disc, is regarded as an essential role on low back pain, a significant global health conce…
Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images
Jiasong Chen, Linchen Qian, Timur Urakov +2
Machine learning technologies using deep neural networks (DNNs), especially convolutional neural networks (CNNs), have made automated, accurate, and fast medical image analysis a r…
CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images
Linchen Qian, Jiasong Chen, Timur Urakov +2
Ambiguity is inevitable in medical images, which often results in different image interpretations (e.g. object boundaries or segmentation maps) from different human experts. Thus,…
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder
Liang Liang, Linhai Ma, Linchen Qian +1
Deep neural networks (DNNs), especially convolutional neural networks, have achieved superior performance on image classification tasks. However, such performance is only guarantee…
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
Linhai Ma, Liang Liang
Electrocardiogram (ECG) is the most widely used diagnostic tool to monitor the condition of the cardiovascular system. Deep neural networks (DNNs), have been developed in many rese…
Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspective
Linhai Ma, Liang Liang
Electrocardiogram (ECG) is the most widely used diagnostic tool to monitor the condition of the cardiovascular system. Deep neural networks (DNNs), have been developed in many rese…