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 (EMBC, 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)

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)

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)

Fully transformer network for skin lesion analysis. - Xinzi He; Ee-Leng Tan; Hanwen Bi; Xuzhe Zhang; Shijie Zhao 001; Baiying Lei (Medical Image Anal., 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)

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 001; et al. (CoRR, 2023)

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. - Xuzhe Zhang; Yuhao Wu; Elsa D. Angelini; Ang Li 005; Jia Guo; Jerod M. Rasmussen; Thomas G. O'Connor; Pathik D. Wadhwa; Andrea Parolin Jackowski; Hai Li 001; Jonathan Posner; Andrew F. Laine; et al. (CVPR, 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 (ISBI, 2024)

SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint. - Danielle Lopes Ferreira; Bruno Astuto A. Nunes; Xuzhe Zhang; Laura Carretero Gomez; Maggie Fung; Ravi Soni (CoRR, 2025)

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI. - Xinliu Zhong; Ruiying Liu; Emily S. Nichols; Xuzhe Zhang; Andrew F. Laine; Emma G. Duerden; Yun Wang (CoRR, 2025)