Partial Volume Effect Compensation for Quantitative Brain SPECT Imaging. - Yong Du 002; Benjamin M. W. Tsui; Eric C. Frey (IEEE Trans. Medical Imaging, 2005)

Comparison of Residence Time Estimation Methods for Radioimmunotherapy Dosimetry and Treatment Planning - Monte Carlo Simulation Studies. - Bin He; Richard L. Wahl; Yong Du 002; George Sgouros; Heather Jacene; Ian Flinn; Eric C. Frey (IEEE Trans. Medical Imaging, 2008)

The distribution of the alpha7 nicotinic acetylcholine receptor in healthy aging: An in vivo positron emission tomography study with [18F]ASEM. - Jennifer M. Coughlin; Yong Du 002; Hailey B. Rosenthal; Stephanie Slania; Soo Min Koo; Andrew Park; Ghedem Solomon; Melin Vranesic; Inga Antonsdottir; Caroline L. Speck; Kelly Rootes-Murdy; Alexandria Lerner; et al. (NeuroImage, 2018)

ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration. - Junyu Chen 002; Yufan He; Eric C. Frey; Ye Li; Yong Du 002 (CoRR, 2021)

Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks. - Junyu Chen 002; Ye Li; Licia P. Luna; Hyun Woo Chung; Steven P. Rowe; Yong Du 002; Lilja B. Solnes; Eric C. Frey (CoRR, 2021)

Unsupervised Learning of Diffeomorphic Image Registration via TransMorph. - Junyu Chen 002; Eric C. Frey; Yong Du 002 (WBIR, 2022)

TransMorph: Transformer for unsupervised medical image registration. - Junyu Chen 002; Eric C. Frey; Yufan He; William Paul Segars; Ye Li; Yong Du 002 (Medical Image Anal., 2022)

Deformable Cross-Attention Transformer for Medical Image Registration. - Junyu Chen 002; Yihao Liu 003; Yufan He; Yong Du 002 (MLMI@MICCAI (1), 2023)

Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration. - Junyu Chen 002; Yihao Liu 003; Yufan He; Yong Du 002 (CoRR, 2023)

From Registration Uncertainty to Segmentation Uncertainty. - Junyu Chen 002; Yihao Liu 003; Shuwen Wei; Zhangxing Bian; Aaron Carass; Yong Du 002 (ISBI, 2024)

Unsupervised learning of spatially varying regularization for diffeomorphic image registration. - Junyu Chen 002; Shuwen Wei; Yihao Liu 003; Zhangxing Bian; Yufan He; Aaron Carass; Harrison X. Bai; Yong Du 002 (CoRR, 2024)

A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond. - Junyu Chen 002; Yihao Liu 003; Shuwen Wei; Zhangxing Bian; Shalini Subramanian; Aaron Carass; Jerry L. Prince; Yong Du 002 (Medical Image Anal., 2025)

Beyond the LUMIR challenge: The pathway to foundational registration models. - Junyu Chen 002; Shuwen Wei; Joel Honkamaa; Pekka Marttinen; Hang Zhang; Min Liu; Yichao Zhou; Zuopeng Tan; Zhuoyuan Wang; Yi Wang; Hongchao Zhou; Shunbo Hu; et al. (CoRR, 2025)

Pretraining Deformable Image Registration Networks with Random Images. - Junyu Chen 002; Shuwen Wei; Yihao Liu 003; Aaron Carass; Yong Du 002 (CoRR, 2025)