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Knowledge‐based planning for intensity‐modulated radiation therapy: a review of data‐driven approaches
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 …
Artificial intelligence in radiation oncology: a specialty-wide disruptive transformation?
Artificial intelligence (AI) is emerging as a technology with the power to transform
established industries, and with applications from automated manufacturing to advertising …
established industries, and with applications from automated manufacturing to advertising …
DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks
The goal of this study is to demonstrate the feasibility of a novel fully-convolutional
volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of …
volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of …
A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning
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 …
Artificial intelligence in radiotherapy
Artificial intelligence (AI) has already been implemented widely in the medical field in the
recent years. This paper first reviews the background of AI and radiotherapy. Then it …
recent years. This paper first reviews the background of AI and radiotherapy. Then it …
DoseGAN: a generative adversarial network for synthetic dose prediction using attention-gated discrimination and generation
Deep learning algorithms have recently been developed that utilize patient anatomy and
raw imaging information to predict radiation dose, as a means to increase treatment …
raw imaging information to predict radiation dose, as a means to increase treatment …
Clinical validation and benchmarking of knowledge-based IMRT and VMAT treatment planning in pelvic anatomy
Purpose The aim of this work was to determine whether a commercial knowledge-based
treatment planning (KBP) module can efficiently produce IMRT and VMAT plans in the pelvic …
treatment planning (KBP) module can efficiently produce IMRT and VMAT plans in the pelvic …
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 …