This page shows the publications co-authored by Raymond Mak and Elizabeth Huynh.
Artificial intelligence in radiation oncology. Nat Rev Clin Oncol. 2020 12; 17(12):771-781.
Associations of Radiomic Data Extracted from Static and Respiratory-Gated CT Scans with Disease Recurrence in Lung Cancer Patients Treated with SBRT. PLoS One. 2017; 12(1):e0169172.
CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer. Radiother Oncol. 2016 08; 120(2):258-66.
Use of a healthy volunteer imaging program to optimize clinical implementation of stereotactic MR-guided adaptive radiotherapy. Tech Innov Patient Support Radiat Oncol. 2020 Dec; 16:70-76.
Impact of experimental design on PET radiomics in predicting somatic mutation status. Eur J Radiol. 2017 Dec; 97:8-15.
Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC. J Thorac Oncol. 2017 03; 12(3):467-476.
Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer. J Nucl Med. 2017 04; 58(4):569-576.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.