Yun Wang

According to our database, Yun Wang authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

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

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025

2024

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, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

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

Intra-session test-retest reliability of functional connectivity in infants.

Yun Wang, Walter Hinds, Cristiane S. Duarte, Seonjoo Lee, Catherine Monk, Melanie Wall, Glorisa Canino, Ana Carolina C. Milani, Andrea Jackowski, Marina Griorgi Mamin, Bernd U. Foerster, Jay Gingrich, Myrna M. Weissman, Bradley S. Peterson, David Semanek, Edna Acosta Perez, Eduardo Labat, Ioannisely Berrios Torres, Camila Parente, Ivaldo Da Silva, Nitamar Abdala, Jonathan Posner

NeuroImage, 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