Qiaoqiao Ding

According to our database, Qiaoqiao Ding authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, July, 2025

Dynamic PET Image Reconstruction via Non-negative INR Factorization.

Chaozhi Zhang, Wenxiang Ding, Roy Y. He, Xiaoqun Zhang, Qiaoqiao Ding

CoRR, March, 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

EESyn-CTP: Edge-End Collaboration for Patient-Friendly CTP Image Synthesis.

Yihao Wang, Yu Zhang, Dewen Qiao, Songtao Guo, Yu Liu, Chenhao Zhao, Tao Gu, Qiaoqiao Ding, Xiaoqun Zhang, Xuetao Chen

IEEE Internet Things J., 2025

2024

Dual-Domain Deep D-bar Method for Solving Electrical Impedance Tomography.

Xiang Cao, Qiaoqiao Ding, Xiaoqun Zhang

CoRR, 2024

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, Miao Zhang, Li Lv, David Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang

IEEE Trans. Medical Imaging, October, 2023

SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data.

Dianlin Hu, Yikun Zhang, Wangyao Li, Weijie Zhang, Krishna Reddy, Qiaoqiao Ding, Xiaoqun Zhang, Yang Chen, Hao Gao

IEEE Trans. Instrum. Meas., 2023

SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy.

Zhe Xiong, Qiaoqiao Ding, Xiaoqun Zhang

CoRR, 2023

PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection.

Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, Xiaoqun Zhang

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection.

Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction.

Qiaoqiao Ding, Hui Ji, Yuhui Quan, Xiaoqun Zhang

CoRR, 2022

MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation.

Qiaoqiao Ding, Xiaoqun Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction.

Qiaoqiao Ding, Yuesong Nan, Hao Gao, Hui Ji

IEEE Trans. Computational Imaging, 2021

Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction.

Qiaoqiao Ding, Hui Ji, Hao Gao, Xiaoqun Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

AHP-Net: adaptive-hyper-parameter deep learning based image reconstruction method for multilevel low-dose CT.

Qiaoqiao Ding, Yuesong Nan, Hao Gao, Hui Ji

CoRR, 2020