I am a Computer Science Ph.D. student at the University of Miami, fortunately supervised by Prof.Liang Liang. Our research focuses on developing novel machine-learning algorithms and techniques for medical images analysis.

My research interests include machine learning, adversarial robustness and medical image analysis. I am motivated by the potential of deep learning to significantly improve healthcare by providing more accurate and efficient diagnoses, treatment planning, and disease monitoring.

Publications

SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRI
Jiasong Chen, Linchen Qian, Linhai Ma, Timur Urakov, Weiyong Gu, Liang Liang

Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images
Linchen Qian, Jiasong Chen, Linhai Ma, Timur Urakov, Weiyong Gu, Liang Liang

Adversarial robustness study of convolutional neural network for lumbar disk shape reconstruction from MR images
Jiasong Chen, Linchen Qian, Timur Urakov, Weiyong Gu, Liang Liang

A sequential geometry-reconstruction-based deep learning approach to improve accuracy and consistence of lumbar spine MRI image segmentation
Linchen Qian, Jiasong Chen, Linhai Ma, Timur Urakov, Liang Liang

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, Weiyong Gu, Liang Liang

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder
Liang Liang, Linhai Ma, Linchen Qian, Jiasong Chen

A general approach to improve adversarial robustness of DNNs for medical image segmentation and detection
Linhai Ma, Jiasong Chen, Linchen Qian, Liang Liang