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 …
[HTML][HTML] 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 1) patient dose …
the field of medical physics. It is heavily used in various applications such as 1) 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 …
Photons: Clinical considerations and applications
MK Fix - Monte Carlo Techniques in Radiation Therapy, 2021 - taylorfrancis.com
The principle aim of radiotherapy is to give a tumoricidal dose to the cancer-bearing tissue
and to minimize the dose to the normal healthy tissue. In contrast to other common …
and to minimize the dose to the normal healthy tissue. In contrast to other common …
Monte Carlo Modelling in Small Animal Photon Radiotherapy
F Verhaegen, A Vaniqui… - Monte Carlo Techniques …, 2021 - taylorfrancis.com
In recent years, radiation research in small animals (rodents) has seen an enormous boost
due to two reasons:(1) the development of more realistic disease models, eg, cancer by …
due to two reasons:(1) the development of more realistic disease models, eg, cancer by …
Project Title: Accelerating radiation transport simulations in radiation medicine by machine learning
H Rabus - ptb.de
Background Training, testing and validation of AI methods require large data sets. In
particular with regard to AI methods for therapy planning and real-time radiation dosimetry in …
particular with regard to AI methods for therapy planning and real-time radiation dosimetry in …