Deep learning for biomedical image reconstruction Discover the power of deep neural networks for image reconstruction with this state of the art review of modern theories and applications. The background theory of deep learning is introduced step by step and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities including X ray CT MRI and others. Real world examples demonstrate an interdisciplinary approach to medical image reconstruction processes featuring numerous imaging applications. Recent clinical studies and innovative research activity in generative models and mathematical theory will inspire the reader towards new frontiers. This book is ideal for graduate students in Electrical or Biomedical Engineering or Medical Physics