Haonan Xiao

发表

Advances in MRI‐guided precision radiotherapy

Jing Cai, Tian Li, Chenyang Liu, 2022, Precision Radiation Oncology.

Building reliable radiomic models using image perturbation

Xinyang Han, Tao Zhou, A. Zwanenburg, 2022, Scientific Reports.

Deep learning-based bone suppression in chest radiographs using CT-derived features: a feasibility study.

Jing Cai, Saikit Lam, Tian Li, 2021, Quantitative imaging in medicine and surgery.

A review of deep learning-based three-dimensional medical image registration methods.

Dinggang Shen, Haonan Xiao, Ruijie Yang, 2021, Quantitative imaging in medicine and surgery.

Building reliable radiomic models using image perturbation

Tao Zhou, A. Zwanenburg, Jing Cai, 2022, Scientific Reports.

A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients

H. Ge, Saikit Lam, Yu-hua Huang, 2022, Frontiers in Oncology.

Microstructure and Mechanical Properties of H13 Steel/High-Speed Steel Composites Prepared by Laser Metal Deposition

Changjun Chen, Haonan Xiao, Min Zhang, 2019, Journal of Materials Engineering and Performance.

Structural Insight Into hnRNP A2/B1 Homodimerization and DNA Recognition.

Hangtian Guo, Tinghan Li, Biqing Chen, 2022, Journal of molecular biology.

Deep learning for automatic target volume segmentation in radiation therapy: a review.

Lei Dong, Wei Zou, Taoran Li, 2021, Quantitative imaging in medicine and surgery.

A Dual-supervised Deformation Estimation Model (DDEM) for constructing ultra-quality 4D-MRI based on a commercial low-quality 4D-MRI for liver cancer radiation therapy.

Shaohua Zhi, Jing Cai, Tian Li, 2022, Medical Physics (Lancaster).

Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution

Tian Li, Shaohua Zhi, Bing Li, 2022, ArXiv.

Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy

Celia Wai-yi Yip, V. Lee, Saikit Lam, 2022, Frontiers in Oncology.

Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy

Jin Qin, Jing Cai, Saikit Lam, 2021, Frontiers in Oncology.

Deep Learning-Based Computed Tomography Perfusion Mapping (DL-CTPM) for Pulmonary CT-to-Perfusion Translation.

Jin Qin, Jing Cai, Tian Li, 2021, International journal of radiation oncology, biology, physics.

A review on 3D deformable image registration and its application in dose warping

Jing Cai, Ge Ren, Haonan Xiao, 2020 .

Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma

V. Lee, Saikit Lam, K. Au, 2022, Frontiers in Oncology.

Virtual Contrast-enhanced Magnetic Resonance Images Synthesis for Patients with Nasopharyngeal Carcinoma using Multimodality-guided Synergistic Neural Network.

V. Lee, Saikit Lam, K. Au, 2021, International journal of radiation oncology, biology, physics.

An overview of artificial intelligence in medical physics and radiation oncology

P. Dong, Haonan Xiao, L. Xing, 2023, Journal of the National Cancer Center.

MRI super-resolution via realistic downsampling with adversarial learning

G. Miller, Jing Cai, Weihu Wang, 2021, Physics in medicine and biology.

Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a Downsampling-Invariant Deformable Registration (D2R) model.

Tian Li, Chenyang Liu, Haonan Xiao, 2023, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.