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 …
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 cascade 3D U‐Net for dose prediction in radiotherapy
Purpose Although large datasets are available, to learn a robust dose prediction model from
a limited dataset still remains challenging. This work employed cascaded deep learning …
a limited dataset still remains challenging. This work employed cascaded deep learning …
RapidPlan head and neck model: the objectives and possible clinical benefit
A Fogliata, G Reggiori, A Stravato, F Lobefalo… - Radiation …, 2017 - Springer
Background To evaluate a knowledge based planning model for RapidPlan (RP) generated
for advanced head and neck cancer (HNC) patient treatments, as well its ability to possibly …
for advanced head and neck cancer (HNC) patient treatments, as well its ability to possibly …
RapidPlan knowledge based planning: iterative learning process and model ability to steer planning strategies
A Fogliata, L Cozzi, G Reggiori, A Stravato… - Radiation …, 2019 - Springer
Purpose To determine if the performance of a knowledge based RapidPlan (RP) planning
model could be improved with an iterative learning process, ie if plans generated by an RP …
model could be improved with an iterative learning process, ie if plans generated by an RP …
Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German …
C Schubert, O Waletzko, C Weiss, D Voelzke… - PloS one, 2017 - journals.plos.org
Purpose To evaluate the performance of a model-based optimisation process for volumetric
modulated arc therapy applied to prostate cancer in a multicentric cooperative group. The …
modulated arc therapy applied to prostate cancer in a multicentric cooperative group. The …
A method of using deep learning to predict three‐dimensional dose distributions for intensity‐modulated radiotherapy of rectal cancer
J Zhou, Z Peng, Y Song, Y Chang, X Pei… - Journal of applied …, 2020 - Wiley Online Library
Purpose To develop and test a three‐dimensional (3D) deep learning model for predicting
3D voxel‐wise dose distributions for intensity‐modulated radiotherapy (IMRT). Methods A …
3D voxel‐wise dose distributions for intensity‐modulated radiotherapy (IMRT). Methods A …
Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions
J Zhang, S Liu, H Yan, T Li, R Mao… - Physics in Medicine & …, 2020 - iopscience.iop.org
This work aims to develop a voxel-level dose prediction framework by integrating distance
information between PTV and OARs, as well as image information, into a densely-connected …
information between PTV and OARs, as well as image information, into a densely-connected …
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 …