CV

You can also download my CV here.

Education

• B.S. in Mathematics, University of Denver, 2017
• M.S. in Computer Science, University of Denver, 2019
• Ph.D in Computer Science, University of Miami, 2026 (expected)

Publications

Shape deformation networks for automated aortic valve finite element meshing from 3D CT images

Qian, L., Chen, J., Gong, R., Sun, W., Liu, M., & Liang, L. (2026). "Shape deformation networks for automated aortic valve finite element meshing from 3D CT images." Proc. SPIE 13929, Medical Imaging 2026.

A Computational Pipeline for Patient-Specific Modeling of Thoracic Aortic Aneurysm: From Medical Image to Finite Element Analysis

Chen, J., Qian, L., Gong, R., Sun, C., Qin, T., Pham, T., Martin, C., Zafar, M., Elefteriades, J., Sun, W., & Liang, L. (2026). "A Computational Pipeline for Patient-Specific Modeling of Thoracic Aortic Aneurysm: From Medical Image to Finite Element Analysis." Proc. SPIE 13929, Medical Imaging 2026.

FEAorta: A Fully Automated Framework for Finite Element Analysis of the Aorta From 3D CT Images

Chen, J., Qian, L., Gong, R., Sun, C., Qin, T., Pham, T., Martin, C., Zafar, M., Elefteriades, J., Sun, W., & Liang, L. (2025). "FEAorta: A Fully Automated Framework for Finite Element Analysis of the Aorta From 3D CT Images." arXiv:2510.06621.

Attention-based Shape-Deformation networks for Artifact-Free geometry reconstruction of lumbar spine from MR images

Qian, L., Chen, J., Ma, L., Urakov, T., Gu, W., & Liang, L. (2025). "Attention-based Shape-Deformation networks for Artifact-Free geometry reconstruction of lumbar spine from MR images." IEEE.

A novel attention-based network for geometry reconstruction with error estimation from medical images

Qian, L., Chen, J., Ma, L., Urakov, T., Gu, W., & Liang, L. (2025). "A novel attention-based network for geometry reconstruction with error estimation from medical images." Proc. SPIE 13406, Medical Imaging 2025.

A 3D Image Segmentation Study of U-Net on CT Images of the Human Aorta with Morphologically Diverse Anatomy

Chen, J., Qian, L., Wang, P., Sun, C., Qin, T., Kalyanasundaram, A., Zafar, M., Elefteriades, J., Sun, W., & Liang, L. (2024). "A 3D Image Segmentation Study of U-Net on CT Images of the Human Aorta with Morphologically Diverse Anatomy." bioRxiv.

SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRI

Chen, J., Qian, L., Ma, L., Urakov, T., Gu, W., & Liang, L. (2024). "SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRI." Computers in Biology and Medicine.

A sequential geometry-reconstruction-based deep learning approach to improve accuracy and consistence of lumbar spine MRI image segmentation

Qian, L., Chen, J., Ma, L., Urakov, T., & Liang, L. (2024). "A sequential geometry-reconstruction-based deep learning approach to improve accuracy and consistence of lumbar spine MRI image segmentation." Proc. SPIE 12926, Medical Imaging 2024.

A general approach to improve adversarial robustness of DNNs for medical image segmentation and detection

Ma, L., Chen, J., Qian, L., & Liang, L. (2021). "A general approach to improve adversarial robustness of DNNs for medical image segmentation and detection." SPIE Medical Imaging.

Adversarial robustness study of convolutional neural network for lumbar disk shape reconstruction from MR images

Chen, J., Qian, L., Urakov, T., Gu, W., & Liang, L. (2021). "Adversarial robustness study of convolutional neural network for lumbar disk shape reconstruction from MR images." Proc. SPIE 11596, Medical Imaging 2021.

CQ-VAE: Coordinate quantized VAE for uncertainty estimation with application to disk shape analysis from lumbar spine MRI images

Qian, L., Chen, J., Urakov, T., Gu, W., & Liang, L. (2021). "CQ-VAE: Coordinate quantized VAE for uncertainty estimation with application to disk shape analysis from lumbar spine MRI images." IEEE.

An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder

Liang, L., Ma, L., Qian, L., & Chen, J. (2020). "An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder." arXiv:2009.08016.