Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.

Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

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Machine Learning for Medical Image Reconstruction
Language: en
Pages: 163
Authors: Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye
Categories: Computers
Type: BOOK - Published: 2020-10-20 - Publisher: Springer

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers
Machine Learning for Medical Image Reconstruction
Language: en
Pages: 142
Authors: Nandinee Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo
Categories: Computers
Type: BOOK - Published: 2021-09-29 - Publisher: Springer Nature

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers
Machine Learning for Medical Image Reconstruction
Language: en
Pages: 158
Authors: Florian Knoll, Andreas Maier, Daniel Rueckert
Categories: Computers
Type: BOOK - Published: 2018-09-11 - Publisher: Springer

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
Machine Learning for Medical Image Reconstruction
Language: en
Pages: 266
Authors: Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye
Categories: Computers
Type: BOOK - Published: 2019-10-24 - Publisher: Springer

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the
Deep Learning for Image Reconstruction
Language: en
Pages: 250
Authors: Markus Haltmeier, Johannes Schwab, Stephan Antholzer
Categories: Computers
Type: BOOK - Published: 2020-01-14 - Publisher:

Many problems in science, engineering and medicine follow an inverse approach to problem by observations the output data to calculate or predict the inputs should be to generated the responses: for example, calculating an image in X-ray computed tomography, source reconstruction in acoustics, or calculating the density of the Earth