82 citations · 116 across the 5 of their papers we have counts for
5 papers
Development of a GPU-accelerated Monte Carlo dose calculation module for nuclear medicine, ARCHER-NM: Demonstration for a PET/CT imaging procedure
Zhao Peng, Yu Lu, Yao Xu +8
This paper describes the development and validation of a Monte Carlo (MC) dose computing module dedicated to organ dose calculations of patients undergoing nuclear medicine (NM) in…
Conceptual Design and Preliminary Results of a VR-based Radiation Safety Training System for Interventional Radiologists
Yi Guo, Li Mao, Gongsen Zhang +3
Recent studies have reported an increased risk of developing brain and neck tumors, as well as cataracts, in practitioners in interventional radiology (IR). Occupational radiation…
Deep learning for accelerating Monte Carlo radiation transport simulation in intensity-modulated radiation therapy
Zhao Peng, Hongming Shan, Tianyu Liu +4
Cancer is a primary cause of morbidity and mortality worldwide. The radiotherapy plays a more and more important role in cancer treatment. In the radiotherapy, the dose distributio…
A Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep-Learning based Multi-Organ Segmentation and GPU-accelerated Monte Carlo Dose Computing
Zhao Peng, Xi Fang, Pingkun Yan +7
Purpose: This paper describes a new method to apply deep-learning algorithms for automatic segmentation of radiosensitive organs from 3D tomographic CT images before computing orga…
Investigation of Dosimetric Parameters of Ir MicroSelectron v2 HDR Brachytherapy Source Using EGSnrc Monte Carlo Code
Hamza Naeem, Chaobin Chen, Huaqing Zheng +4
The Ir sources are widely used for high dose rate (HDR) brachytherapy treatments. The aim of this study is to simulate Ir MicroSelectron v2 HDR brachytherapy source…