Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
Advanced Monte Carlo simulations of emission tomography imaging systems with GATE
Built on top of the Geant4 toolkit, GATE is collaboratively developed for more than 15 years
to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular …
to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular …
Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm
Monte Carlo (MC) simulation is considered the gold standard method for radiotherapy dose
calculation. However, achieving high precision requires a large number of simulation …
calculation. However, achieving high precision requires a large number of simulation …
[HTML][HTML] Artificial intelligence for Monte Carlo simulation in medical physics
Monte Carlo simulation of particle tracking in matter is the reference simulation method in
the field of medical physics. It is heavily used in various applications such as patient dose …
the field of medical physics. It is heavily used in various applications such as patient dose …
Denoising proton therapy Monte Carlo dose distributions in multiple tumor sites: A comparative neural networks architecture study
Abstract Introduction Monte Carlo (MC) algorithms provide accurate modeling of dose
calculation by simulating the delivery and interaction of many particles through patient …
calculation by simulating the delivery and interaction of many particles through patient …
Deep learning‐based fast denoising of Monte Carlo dose calculation in carbon ion radiotherapy
X Zhang, H Zhang, J Wang, Y Ma, X Liu, Z Dai… - Medical …, 2023 - Wiley Online Library
Background Plan verification is one of the important steps of quality assurance (QA) in
carbon ion radiotherapy. Conventional methods of plan verification are based on phantom …
carbon ion radiotherapy. Conventional methods of plan verification are based on phantom …
Multislice input for 2D and 3D residual convolutional neural network noise reduction in CT
Z Zhou, NR Huber, A Inoue… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose Deep convolutional neural network (CNN)-based methods are increasingly used
for reducing image noise in computed tomography (CT). Current attempts at CNN denoising …
for reducing image noise in computed tomography (CT). Current attempts at CNN denoising …
A plan verification platform for online adaptive proton therapy using deep learning-based Monte–Carlo denoising
G Zhang, X Chen, J Dai, K Men - Physica Medica, 2022 - Elsevier
Abstract Background Purpose This study focused on developing a fast Monte Carlo (MC)
plan verification platform via a deep learning (DL)-based denoising approach. It can …
plan verification platform via a deep learning (DL)-based denoising approach. It can …
A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applications
RHW van Dijk, N Staut, CJA Wolfs… - Physics in Medicine & …, 2022 - iopscience.iop.org
Objective. In preclinical radiotherapy with kilovolt (kV) x-ray beams, accurate treatment
planning is needed to improve the translation potential to clinical trials. Monte Carlo based …
planning is needed to improve the translation potential to clinical trials. Monte Carlo based …
Deep learning for high-resolution dose prediction in high dose rate brachytherapy for breast cancer treatment
Objective. Monte Carlo (MC) simulations are the benchmark for accurate radiotherapy dose
calculations, notably in patient-specific high dose rate brachytherapy (HDR BT), in cases …
calculations, notably in patient-specific high dose rate brachytherapy (HDR BT), in cases …