Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives
OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …
performing tasks that currently require human intelligence. Through machine learning (ML) …
Quantitative molecular positron emission tomography imaging using advanced deep learning techniques
The widespread availability of high-performance computing and the popularity of artificial
intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm …
intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm …
Artificial intelligence and the medical physicist: welcome to the machine
Artificial intelligence (AI) is a branch of computer science dedicated to giving machines or
computers the ability to perform human-like cognitive functions, such as learning, problem …
computers the ability to perform human-like cognitive functions, such as learning, problem …
[HTML][HTML] Personalized brachytherapy dose reconstruction using deep learning
Background and purpose Accurate calculation of the absorbed dose delivered to the tumor
and normal tissues improves treatment gain factor, which is the major advantage of …
and normal tissues improves treatment gain factor, which is the major advantage of …
Advances in automated treatment planning
D Nguyen, MH Lin, D Sher, W Lu, X Jia… - Seminars in radiation …, 2022 - Elsevier
Treatment planning in radiation therapy has progressed enormously over the past several
decades. Such advancements came in the form of innovative hardware and algorithms …
decades. Such advancements came in the form of innovative hardware and algorithms …
[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 …
The application and development of deep learning in radiotherapy: a systematic review
D Huang, H Bai, L Wang, Y Hou, L Li… - … in Cancer Research …, 2021 - journals.sagepub.com
With the massive use of computers, the growth and explosion of data has greatly promoted
the development of artificial intelligence (AI). The rise of deep learning (DL) algorithms, such …
the development of artificial intelligence (AI). The rise of deep learning (DL) algorithms, such …
Automated treatment planning framework for brachytherapy of cervical cancer using 3D dose predictions
Objective. To lay the foundation for automated knowledge-based brachytherapy treatment
planning using 3D dose estimations, we describe an optimization framework to convert …
planning using 3D dose estimations, we describe an optimization framework to convert …
Artificial intelligence and deep learning for brachytherapy
X Jia, K Albuquerque - Seminars in Radiation Oncology, 2022 - Elsevier
In recent years, Artificial intelligence (AI), specifically deep-learning (DL) based methods,
have been employed extensively to solve various problems in brachytherapy. This paper …
have been employed extensively to solve various problems in brachytherapy. This paper …
Fast DM, M calculation in LDR brachytherapy using deep learning methods
Objective. The Monte Carlo (MC) method provides a complete solution to the tissue
heterogeneity effects in low-energy low-dose rate (LDR) brachytherapy. However, long …
heterogeneity effects in low-energy low-dose rate (LDR) brachytherapy. However, long …