Machine Learning for Medical Image Reconstruction

Discover the cutting-edge advancements in medical imaging with Machine Learning for Medical Image Reconstruction by Florian Knoll. Published by Springer Nature Switzerland AG in 2019, this comprehensive volume features 266 pages of insightful research and findings from the Second International Workshop on Machine Learning for Medical Reconstruction (MLMIR 2019), held alongside MICCAI 2019 in Shenzhen, China.

This book presents 24 meticulously reviewed full papers selected from 32 submissions, showcasing the latest techniques and applications of machine learning in the field of medical image reconstruction. Perfect for researchers, practitioners, and students, it provides a valuable resource for understanding the intersection of artificial intelligence and medical imaging.

Enhance your knowledge and stay ahead in the rapidly evolving domain of medical technology with this essential read!