AHP-Net: adaptive-hyper-parameter deep learning based image reconstruction method for multilevel low-dose CT. - Qiaoqiao Ding; Yuesong Nan; Hao Gao 003; Hui Ji (CoRR, 2020)

Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction. - Qiaoqiao Ding; Hui Ji; Hao Gao 003; Xiaoqun Zhang (MICCAI (6), 2021)

Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction. - Qiaoqiao Ding; Yuesong Nan; Hao Gao 003; Hui Ji (IEEE Trans. Computational Imaging, 2021)

MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation. - Qiaoqiao Ding; Xiaoqun Zhang (MICCAI (6), 2022)

Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction. - Qiaoqiao Ding; Hui Ji; Yuhui Quan; Xiaoqun Zhang (CoRR, 2022)

AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection. - Yuzhong Zhao; Qiaoqiao Ding; Xiaoqun Zhang (ICLR, 2023)

PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection. - Zhe Xiong; Qiaoqiao Ding; Yuzhong Zhao; Xiaoqun Zhang (CMMCA@MICCAI, 2023)

SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy. - Zhe Xiong; Qiaoqiao Ding; Xiaoqun Zhang (CoRR, 2023)

SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data. - Dianlin Hu; Yikun Zhang 001; Wangyao Li; Weijie Zhang; Krishna Reddy; Qiaoqiao Ding; Xiaoqun Zhang; Yang Chen 008; Hao Gao (IEEE Trans. Instrum. Meas., 2023)

A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging. - Wenxiang Ding; Qiaoqiao Ding; Kewei Chen 001; Miao Zhang; Li Lv; David Dagan Feng; Lei Bi 001; Jinman Kim; Qiu Huang (IEEE Trans. Medical Imaging, 2023)

Dual-Domain Deep D-bar Method for Solving Electrical Impedance Tomography. - Xiang Cao; Qiaoqiao Ding; Xiaoqun Zhang (CoRR, 2024)

EESyn-CTP: Edge-End Collaboration for Patient-Friendly CTP Image Synthesis. - Yihao Wang; Yu Zhang; Dewen Qiao; Songtao Guo; Yu Liu 021; Chenhao Zhao; Tao Gu; Qiaoqiao Ding; Xiaoqun Zhang; Xuetao Chen (IEEE Internet Things J., 2025)

Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport. - Zhe Xiong; Qiaoqiao Ding; Xiaoqun Zhang (SIAM J. Imaging Sci., 2025)

Dynamic PET Image Reconstruction via Non-negative INR Factorization. - Chaozhi Zhang; Wenxiang Ding; Roy Y. He; Xiaoqun Zhang; Qiaoqiao Ding (CoRR, 2025)

Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators. - Xiang Cao; Qiaoqiao Ding; Xinliang Liu; Lei Zhang; Xiaoqun Zhang (CoRR, 2025)