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

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 …

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 …

ivadomed is an open-source Python package for designing, end-to-end training, and
evaluating deep learning models applied to medical imaging data. The package includes …

In this new generation of artificial intelligence (AI), data-driven and end-to-end paradigms
have been established. These paradigms have led to substantial breakthroughs in data …

Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …

Machine learning techniques are essential components of medical imaging research.
Recently, a highly flexible machine learning approach known as deep learning has …

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 …

Deep learning (DL) has made significant strides in medical imaging. This review article
presents an in-depth analysis of DL applications in medical imaging, focusing on the …

Medical imaging seeks to unveil the internal structures hidden by the skin and bones to
assist disease diagnosis and also treatment optimisation. In the past, processing medical …