Xuzhe Zhang

According to our database, Xuzhe Zhang authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.

Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

CoRR, 2024

2023

3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI.

Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

CoRR, 2023

2022

PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers.

Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang

IEEE Trans. Medical Imaging, 2022

Fully transformer network for skin lesion analysis.

Xinzi He, Ee-Leng Tan, Hanwen Bi, Xuzhe Zhang, Shijie Zhao, Baiying Lei

Medical Image Anal., 2022

ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates.

Yun Wang, Fateme Sadat Haghpanah, Xuzhe Zhang, Katie Santamaria, Gabriela Koch da Costa Aguiar Alves, Elizabeth Bruno, Natalie Aw, Alexis Maddocks, Cristiane S. Duarte, Catherine Monk, Andrew Laine, Jonathan Posner

Brain Informatics, 2022

2021

Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans.

Xinzi He, Jia Guo, Xuzhe Zhang, Hanwen Bi, Sarah E. Gerard, David W. Kaczka, Amin Motahari, Eric A. Hoffman, Joseph M. Reinhardt, R. Graham Barr, Elsa D. Angelini, Andrew Laine

CoRR, 2021

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer.

Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang

CoRR, 2021

Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers.

Nabil Ettehadi, Xuzhe Zhang, Yun Wang, David Semanek, Jia Guo, Jonathan Posner, Andrew F. Laine

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021