Artificial intelligence (AI) continues to deliver a remarkable impact on numerous and highly
diverse fields, such as physics, natural language processing, finance, human resources …

This article is the second part in our machine learning series. Part 1 provided a general
overview of machine learning in nuclear medicine. Part 2 focuses on neural networks. We …

Artificial intelligence (AI) has been applied to various medical imaging tasks, such as
computer-aided diagnosis. Specifically, deep learning techniques such as convolutional …

This article reviews the use of a subdiscipline of artificial intelligence (AI), deep learning, for
the reconstruction of images in positron emission tomography (PET). Deep learning can be …

Artificial intelligence (AI) has recently attracted much attention for its potential use in
healthcare applications. The use of AI to improve and extract more information out of …

Image reconstruction for positron emission tomography (PET) has been developed over
many decades, with advances coming from improved modelling of the data statistics and …

This brief review summarizes the major applications of artificial intelligence (AI), in particular
deep learning approaches, in molecular imaging and radiation therapy research. To this …

The emergence of artificial intelligence (AI) in nuclear medicine and radiology has been
accompanied by AI commentators and experts predicting that AI would make radiologists, in …

Introduction In recent years, machine learning algorithms have led to innovative tools for
medical imaging analysis. The purpose of the present review was to summarize the …

Positron emission tomography (PET) is vital for diagnosing diseases and monitoring
treatments. Conventional image reconstruction (IR) techniques like filtered backprojection …