R. Mao

Study on Dose Distribution Prediction of Esophageal Cancer Patients Using U-Net Model

Jianfei Liu, Jing Wang, R. Mao, 2019, Lecture Notes in Electrical Engineering.

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.

Targeting valosin‐containing protein enhances the efficacy of radiation therapy in esophageal squamous cell carcinoma

H. Ge, Zhu Feng, R. Mao, 2019, Cancer science.

A novel automated planning approach for multi-anatomical sites cancer in Raystation treatment planning system.

H. Ge, Dingjie Li, R. Mao, 2023, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions

Jingjing Zhang, Teng Li, Jianfei Liu, 2020, Physics in medicine and biology.

Voxel-Level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions

Jingjing Zhang, Shuolin Liu, Jianfei Liu, 2019, AIRT@MICCAI.

Should stereotactic body radiotherapy doses be adjusted according to tumor size in early-stage non-small-cell lung cancer? A Systematic Review and meta-analysis.

H. Ge, R. Mao, Hengli Song, 2019, Future oncology.

Dosimetric Analysis of Microscopic Disease in SBRT for Lung Cancers

F. Yin, L. Ren, You Zhang, 2017, Technology in cancer research & treatment.

Improvement Using Planomics Features on Prediction and Classification of Patient-Specific Quality Assurance Using Head and Neck Volumetric Modulated Arc Therapy Plan

H. Ge, Dingjie Li, R. Mao, 2021, Frontiers in Neuroscience.

Study on esophageal cancer radiotherapy dosimetry and position verification for volumetric modulated arc therapy.

H. Ge, Xiao Guo, R. Mao, 2022, Asian journal of surgery.

Convolutional Neural Network Based Dosimetry Evaluation for Esophageal Radiation Treatment Planning.

Teng Li, Jianfei Liu, Hui Yan, 2020, Medical physics.

Unsupervised computed tomography and cone-beam computed tomography image registration using a dual attention network.

Fudong Nian, Teng Li, R. Mao, 2021, Quantitative imaging in medicine and surgery.

A Planning Evaluation Method for Esophageal VMAT Based on Machine Learning

Jiwei Liu, Jianfei Liu, Hui Yan, 2018, Proceedings of 2018 Chinese Intelligent Systems Conference.

Deep Learning Based Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning

Jianfei Liu, Ronghu Mao, Teng Li, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).