Xuzhe Zhang

13 papers A* 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI.
PIPPI@MICCAI
Xinliu Zhong, Ruiying Liu, Emily S. Nichols, Xuzhe Zhang, Andrew F. Laine, Emma G. Duerden, Yun Wang
2025 J jnl
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI.
CoRR
Xinliu Zhong, Ruiying Liu, Emily S. Nichols, Xuzhe Zhang, Andrew F. Laine, Emma G. Duerden, Yun Wang
2025 J jnl
SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint.
CoRR
Danielle Lopes F. G. Vieira, Bruno Astuto A. Nunes, Xuzhe Zhang, Laura Carretero Gomez, Maggie Fung, Ravi Soni
2024 A* conf
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling.
CVPR
Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang
2024 — conf
Robust Quantification of Percent Emphysema on CT Via Domain Attention: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.
ISBI
Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
2024 J jnl
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.
CoRR
Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
2023 J jnl
3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI.
CoRR
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
2022 J jnl
Fully transformer network for skin lesion analysis.
Medical Image Anal.
Xinzi He, Ee-Leng Tan, Hanwen Bi, Xuzhe Zhang, Shijie Zhao, Baiying Lei
2022 J jnl
ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates.
Brain Informatics
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
2022 J jnl
PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers.
IEEE Trans. Medical Imaging
Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang
2021 — conf
Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers.
EMBC
Nabil Ettehadi, Xuzhe Zhang, Yun Wang, David Semanek, Jia Guo, Jonathan Posner, Andrew F. Laine
2021 J jnl
PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer.
CoRR
Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang
2021 J jnl
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans.
CoRR
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