The area of machine learning, especially deep learning, has exploded in recent years,
producing advances in everything from speech recognition and gaming to drug discovery …

The combination of tomographic imaging and deep learning, or machine learning in
general, promises to empower not only image analysis but also image reconstruction. The …

Over past several years, machine learning, or more generally artificial intelligence, has
generated overwhelming research interest and attracted unprecedented public attention. As …

Deep-learning-based tomographic imaging is an important application of artificial
intelligence and a new frontier of machine learning. Deep learning has been widely used in …

Deep learning (DL) has been successfully applied to many image analysis and image
enhancement tasks, but applying DL to inverse problems such as tomographic …

As a follow-up to the first IEEE Transactions on Medical Imaging (TMI) special issue on the
theme of deep tomographic reconstruction, the second special issue is assembled to reflect …

Machine learning, and deep learning in particular, is seen as both the hope and the downfall
of the medical imaging profession. Some hail the promise of computers reliably identifying …

Computed tomography (CT) has been widely applied in medical diagnosis, nondestructive
evaluation, homeland security, and other science and engineering applications. Image …

Innovations in CT have been impressive among imaging and medical technologies in both
the hardware and software domain. The range and speed of CT scanning improved from the …

What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …