Lei Xing

TL;DR: This report provides the framework and guidance to allow clinical radiation oncology physicists to make judicious decisions in implementing a safe and efficient IMRT program in their clinics.

TL;DR: A novel CS framework that uses generative adversarial networks (GAN) to model the (low-dimensional) manifold of high-quality MR images that retrieves higher quality images with improved fine texture details compared with conventional Wavelet-based and dictionary- learning-based CS schemes as well as with deep-learning-based schemes using pixel-wise training.

TL;DR: The purpose of this article is to summarize recent advancements in IGRT and discussed various practical issues related to the implementation of the new imaging techniques available to radiation oncology community.

TL;DR: This work proposed the first deep learning‐based algorithm, for segmentation of OARs in HaN CT images, and compared its performance against state‐of‐the‐art automated segmentation algorithms, commercial software, and interobserver variability.

TL;DR: In this article, the authors used Stereotactic Body Radiation Therapy (SBRT) to deliver a potent ablative dose to deep-seated tumors in the lung, liver, spine, pancreas, kidney, and prostate.