Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. Including interdiscip

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses

This book is written in a tutorial style that concisely introduces students, researchers and practitioners to the development and design of effective biomedical

Biomedical imaging is a vast and diverse field. There are a plethora of imaging devices using light, X-rays, sound waves, magnetic fields, electrons, or protons

This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging,