Deep learning for magnetic resonance imaging -- Deep learning for computed tomography -- Deep learning for general image reconstruction.
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This 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.
Springer Nature
com.springer.onix.9783030001292
9783030001285
9783030001308
MLMIR 2018
Artificial intelligence-- Medical applications, Congresses.
Diagnostic imaging-- Data processing, Congresses.
Machine learning, Congresses.
Artificial Intelligence.
Computer Communication Networks.
Health Informatics.
Image Processing and Computer Vision.
Logic Design.
Artificial intelligence-- Medical applications.
Artificial intelligence.
Computer architecture & logic design.
Computers-- Computer Graphics.
Computers-- Hardware-- Network Hardware.
Computers-- Intelligence (AI) & Semantics.
Computers-- Logic Design.
Diagnostic imaging-- Data processing.
Health & safety aspects of IT.
Image processing.
Machine learning.
Medical-- General.
Network hardware.
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Knoll, Florian
Maier, Andreas
Rueckert, Daniel
MLMIR (Workshop)(1st :2018 :, Granada, Spain)
International Conference on Medical Image Computing and Computer-Assisted Intervention(21st :2018 :, Granada, Spain)