Machine learning has become a key driver of the digital health revolution. That comes with a
fair share of high hopes and hype. We conducted a scoping review on machine learning in …

QuantMed is a platform consisting of software components enabling clinical deep learning,
together forming the QuantMed infrastructure. It addresses numerous challenges: systematic …

Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …

This book is the second edition of a series documenting how deep learning and deep neural
networks are being successfully employed within medical image computing. Looking back to …

Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

Since 2000, there have been more than 8000 publications on radiology artificial intelligence
(AI). AI breakthroughs allow complex tasks to be automated and even performed beyond …

Medical imaging is fundamental to modern precision medicine, but analyzing complex
image data requires sophisticated techniques. This chapter provides a comprehensive …

Medical image analysis plays a key role in precision medicine. Data curation and pre-
processing are critical steps in quantitative medical image analysis that can have a …

Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …

At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in
September 2016, a conference session on medical image data and datasets for machine …