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 …
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 for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
With the advancement of treatment modalities in radiation therapy for cancer patients,
outcomes have improved, but at the cost of increased treatment plan complexity and …
outcomes have improved, but at the cost of increased treatment plan complexity and …
3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
The treatment planning process for patients with head and neck (H&N) cancer is regarded
as one of the most complicated due to large target volume, multiple prescription dose levels …
as one of the most complicated due to large target volume, multiple prescription dose levels …
DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks
V Kearney, JW Chan, S Haaf… - Physics in Medicine …, 2018 - iopscience.iop.org
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 …
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 …
A transformer-embedded multi-task model for dose distribution prediction
Radiation therapy is a fundamental cancer treatment in the clinic. However, to satisfy the
clinical requirements, radiologists have to iteratively adjust the radiotherapy plan based on …
clinical requirements, radiologists have to iteratively adjust the radiotherapy plan based on …
MRI-based treatment planning for liver stereotactic body radiotherapy: validation of a deep learning-based synthetic CT generation method
Objective: The purpose of this work is to develop and validate a learning-based method to
derive electron density from routine anatomical MRI for potential MRI-based SBRT treatment …
derive electron density from routine anatomical MRI for potential MRI-based SBRT treatment …
Multi-level progressive transfer learning for cervical cancer dose prediction
Recently, deep learning has accomplished the automation of radiation therapy planning,
enhancing its quality and efficiency. However, such progress comes at the cost of a large …
enhancing its quality and efficiency. However, such progress comes at the cost of a large …
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction
Radiotherapy is the mainstay treatment for most patients with cancer. During radiotherapy
planning, it is essential to generate a clinically acceptable dose distribution map. In practice …
planning, it is essential to generate a clinically acceptable dose distribution map. In practice …