Artificial intelligence in radiotherapy treatment planning: present and future
Treatment planning is an essential step of the radiotherapy workflow. It has become more
sophisticated over the past couple of decades with the help of computer science, enabling …
sophisticated over the past couple of decades with the help of computer science, enabling …
Knowledge‐based planning for intensity‐modulated radiation therapy: a review of data‐driven approaches
Y Ge, QJ Wu - Medical physics, 2019 - Wiley Online Library
Purpose Intensity‐Modulated Radiation Therapy (IMRT), including its variations (including
IMRT, Volumetric Arc Therapy (VMAT), and Tomotherapy), is a widely used and critically …
IMRT, Volumetric Arc Therapy (VMAT), and Tomotherapy), is a widely used and critically …
Automation in intensity modulated radiotherapy treatment planning—a review of recent innovations
Radiotherapy treatment planning of complex radiotherapy techniques, such as intensity
modulated radiotherapy and volumetric modulated arc therapy, is a resource-intensive …
modulated radiotherapy and volumetric modulated arc therapy, is a resource-intensive …
A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning
X Chen, K Men, Y Li, J Yi, J Dai - Medical physics, 2019 - Wiley Online Library
Purpose To develop a method for predicting optimal dose distributions, given the planning
image and segmented anatomy, by applying deep learning techniques to a database of …
image and segmented anatomy, by applying deep learning techniques to a database of …
Knowledge‐based radiation treatment planning: a data‐driven method survey
This paper surveys the data‐driven dose prediction methods investigated for knowledge‐
based planning (KBP) in the last decade. These methods were classified into two major …
based planning (KBP) in the last decade. These methods were classified into two major …
Machine learning and modeling: data, validation, communication challenges
With the era of big data, the utilization of machine learning algorithms in radiation oncology
is rapidly growing with applications including: treatment response modeling, treatment …
is rapidly growing with applications including: treatment response modeling, treatment …
An artificial intelligence‐driven agent for real‐time head‐and‐neck IMRT plan generation using conditional generative adversarial network (cGAN)
Purpose To develop an artificial intelligence (AI) agent for fully automated rapid head‐and‐
neck intensity‐modulated radiation therapy (IMRT) plan generation without time‐consuming …
neck intensity‐modulated radiation therapy (IMRT) plan generation without time‐consuming …
[HTML][HTML] Winter is over: the use of artificial intelligence to individualise radiation therapy for breast cancer
PMP Poortmans, S Takanen, GN Marta, I Meattini… - The Breast, 2020 - Elsevier
Artificial intelligence demonstrated its value for automated contouring of organs at risk and
target volumes as well as for auto-planning of radiation dose distributions in terms of saving …
target volumes as well as for auto-planning of radiation dose distributions in terms of saving …
Linear Scheduling Method-Based Multi-Objective Optimization for Off-Site Construction Manufacturing
Optimal production scheduling in off-site construction is hindered by the lack of
comprehensive methods that simultaneously addresses workforce allocation, realistic labor …
comprehensive methods that simultaneously addresses workforce allocation, realistic labor …
Artificial intelligence in radiation therapy
Artificial intelligence (AI) has great potential to transform the clinical workflow of
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …