Ensemble learning and personalized training for the improvement of unsupervised deep learning‐based synthetic CT reconstruction-Reference-Cited by-同舟云学术

Ensemble learning and personalized training for the improvement of unsupervised deep learning‐based synthetic CT reconstruction

Published:2022-12-17 Issue:3 Volume:50 Page:1436-1449
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Olberg Sven¹²,Choi Byong Su¹³,Park Inkyung¹³,Liang Xiao¹,Kim Jin Sung³⁴,Deng Jie¹,Yan Yulong¹,Jiang Steve¹,Park Justin C.¹³⁵

Affiliation:

1. Medical Artificial Intelligence and Automation (MAIA) Laboratory Department of Radiation Oncology University of Texas Southwestern Medical Center Dallas Texas USA

2. Department of Biomedical Engineering Washington University in St. Louis St. Louis Missouri USA

3. Medical Physics and Biomedical Engineering Lab (MPBEL) Department of Radiation Oncology, Yonsei Cancer Center Yonsei University College of Medicine Seoul South Korea

4. Oncosoft Inc. Seoul South Korea

5. Department of Radiation Oncology Mayo Clinic Jacksonville Florida USA

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16087

Reference71 articles.

1. The ViewRay System: Magnetic Resonance–Guided and Controlled Radiotherapy