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Jiasong Chen
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Adversarial robustness study of convolutional neural network for lumbar disk shape reconstruction from MR images
J Chen, L Qian, T Urakov, W Gu, L Liang
Medical Imaging 2021: Image Processing 11596, 306-318, 2021
162021
Cq-vae: Coordinate quantized vae for uncertainty estimation with application to disk shape analysis from lumbar spine mri images
L Qian, J Chen, T Urakov, W Gu, L Liang
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
42020
An algorithm for out-of-distribution attack to neural network encoder
L Liang, L Ma, L Qian, J Chen
arXiv preprint arXiv:2009.08016, 2020
42020
SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRI
J Chen, L Qian, L Ma, T Urakov, W Gu, L Liang
arXiv preprint arXiv:2401.09627, 2024
22024
An Algorithm to attack neural network encoderbased out-of-distribution sample detector
L Liang, L Ma, L Qian, J Chen
ArXiv200908016 Cs Eess, 2020
22020
Evaluation of Deep Neural Network Models for Instance Segmentation of Lumbar Spine MRI
J Chen, L Qian, L Ma, T Urakov, W Gu, L Liang
bioRxiv, 2024.04. 02.587810, 2024
2024
A sequential geometry reconstruction based deep learning approach to improve accuracy and consistence of lumbar spine MRI image segmentation
L Qian, J Chen, L Ma, T Urakov, L Liang
Medical Imaging 2024: Image Processing 12926, 753-760, 2024
2024
A general approach to improve adversarial robustness of DNNs for medical image segmentation and detection
L Ma, J Chen, L Qian, L Liang
Medical Imaging 2024: Image Processing 12926, 266-274, 2024
2024
Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images
L Qian, J Chen, L Ma, T Urakov, W Gu, L Liang
arXiv preprint arXiv:2404.00231, 2024
2024
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