Hi there. I’m Jiasong (Jason). I am a computer science Ph.D. candidate at the University of Miami, where I am fortunate to be advised by Prof.Liang Liang. My research interests lie at the intersection of deep learning, medical imaging, and biomechanical modeling.

I am particularly motivated by the translational potential of deep learning to improve clinical workflows — enabling more accurate diagnosis, optimized treatment planning, and robust disease monitoring through quantitative and physics-informed modeling. My current research focuses on developing novel machine learning algorithms and computational techniques for medical image analysis.

I expect to complete my Ph.D. in December 2026 and am actively seeking postdoctoral research opportunities. I am especially interested in integrating machine learning with biomechanical modeling, computational medicine, and clinically oriented research.

Publications

FEAorta: A Fully Automated Framework for Finite Element Analysis of the Aorta From 3D CT Images
Jiasong Chen, Linchen Qian, Ruonan Gong, Christina Sun, Tongran Qin, Thuy Pham, Caitlin Martin, Mohammad Zafar, John Elefteriades, Wei Sun, Liang Liang

A Computational Pipeline for Patient-Specific Modeling of Thoracic Aortic Aneurysm: From Medical Image to Finite Element Analysis
Jiasong Chen, Linchen Qian, Ruonan Gong, Christina Sun, Tongran Qin, Thuy Pham, Caitlin Martin, Mohammad Zafar, John Elefteriades, Wei Sun, Liang Liang

Shape deformation networks for automated aortic valve finite element meshing from 3D CT images
Linchen Qian, Jiasong Chen, Ruonan Gong, Wei Sun, Minliang Liu, 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

A novel attention-based network for geometry reconstruction with error estimation from medical images
Linchen Qian, Jiasong Chen, Linhai Ma, Timur Urakov, Weiyong Gu, Liang Liang

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

A 3D Image Segmentation Study of U-Net on CT Images of the Human Aorta with Morphologically Diverse Anatomy
Jiasong Chen, Linchen Qian, Pengce Wang, Christina Sun, Tongran Qin, Asanish Kalyanasundaram, Mohammad Zafar, John Elefteriades, Wei Sun, 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