Free Delivery Over $100
|
|
|||
|
||||
OverviewThis book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction. Full Product DetailsAuthor: Florian Knoll , Andreas Maier , Daniel RueckertPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2018 Volume: 11074 Weight: 0.454kg ISBN: 9783030001285ISBN 10: 3030001288 Pages: 158 Publication Date: 12 September 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsDeep learning for magnetic resonance imaging.- Deep learning for computed tomography.- Deep learning for general image reconstruction.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
