Qiaoqiao Ding

19 papers A* 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CT-free attenuation and scatter correction of [11C]CFT brain PET using a Bi-directional matching network.
NeuroImage
Wenxiang Ding, Xiaolin Sun, Qiaoqiao Ding, Xiaoyue Tan, Qing Zhang, Shanzhen He, Peiyong Li, Qiu Huang, Xiaoqun Zhang, Lei Jiang
2026 J jnl
Enhancing Medical Imaging Out-of-Distribution Detection with Synthetic Outliers.
J. Math. Imaging Vis.
Yuzhong Zhao, Qiaoqiao Ding, Haojie Ren, Xiaoqun Zhang
2026 J jnl
Improving out-of-distribution detection in normalizing flows with synthetic outliers.
Neurocomputing
Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang
2025 J jnl
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport.
SIAM J. Imaging Sci.
Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang
2025 J jnl
Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators.
CoRR
Xiang Cao, Qiaoqiao Ding, Xinliang Liu, Lei Zhang, Xiaoqun Zhang
2025 J jnl
Dynamic PET Image Reconstruction via Non-Negative INR Factorization.
SIAM J. Imaging Sci.
Chaozhi Zhang, Wenxiang Ding, Roy Y. He, Xiaoqun Zhang, Qiaoqiao Ding
2025 J jnl
Dynamic PET Image Reconstruction via Non-negative INR Factorization.
CoRR
Chaozhi Zhang, Wenxiang Ding, Roy Y. He, Xiaoqun Zhang, Qiaoqiao Ding
2025 J jnl
EESyn-CTP: Edge-End Collaboration for Patient-Friendly CTP Image Synthesis.
IEEE Internet Things J.
Yihao Wang, Yu Zhang, Dewen Qiao, Songtao Guo, Yu Liu, Chenhao Zhao, Tao Gu, Qiaoqiao Ding, Xiaoqun Zhang, Xuetao Chen
2024 J jnl
Dual-Domain Deep D-bar Method for Solving Electrical Impedance Tomography.
CoRR
Xiang Cao, Qiaoqiao Ding, Xiaoqun Zhang
2023 J jnl
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging.
IEEE Trans. Medical Imaging
Wenxiang Ding, Qiaoqiao Ding, Kewei Chen, Miao Zhang, Li Lv, David Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang
2023 A* conf
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection.
ICLR
Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang
2023 — conf
PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection.
CMMCA@MICCAI
Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, Xiaoqun Zhang
2023 J jnl
SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data.
IEEE Trans. Instrum. Meas.
Dianlin Hu, Yikun Zhang, Wangyao Li, Weijie Zhang, Krishna Reddy, Qiaoqiao Ding, Xiaoqun Zhang, Yang Chen, Hao Gao
2023 J jnl
SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy.
CoRR
Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang
2022 J jnl
Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction.
CoRR
Qiaoqiao Ding, Hui Ji, Yuhui Quan, Xiaoqun Zhang
2022 — conf
MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation.
MICCAI (6)
Qiaoqiao Ding, Xiaoqun Zhang
2021 J jnl
Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction.
IEEE Trans. Computational Imaging
Qiaoqiao Ding, Yuesong Nan, Hao Gao, Hui Ji
2021 — conf
Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction.
MICCAI (6)
Qiaoqiao Ding, Hui Ji, Hao Gao, Xiaoqun Zhang
2020 J jnl
AHP-Net: adaptive-hyper-parameter deep learning based image reconstruction method for multilevel low-dose CT.
CoRR
Qiaoqiao Ding, Yuesong Nan, Hao Gao, Hui Ji