Machine Learning for Medical Image Reconstruction

Knoll F, Maier A, Rueckert D (2018)

Publication Type: Edited Volume

Publication year: 2018

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer

Series: Lecture Notes in Computer Science

City/Town: Cham

Edition: 1

ISBN: 9783030001285

DOI: 10.1007/978-3-030-00129-2

Abstract

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.

Editors with CRIS profile

Florian Knoll
Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

New York University (NYU) US United States (USA) (US) Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB)

How to cite

APA:

Knoll, F., Maier, A., & Rueckert, D. (Eds.) (2018). Machine Learning for Medical Image Reconstruction. Cham: Springer.

MLA:

Knoll, Florian, Andreas Maier, and Daniel Rueckert, eds. Machine Learning for Medical Image Reconstruction. Cham: Springer, 2018.

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