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    Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction

Florian Knoll
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      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 following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.
      Format: Paperback / softback CONTRIBUTORS: Florian Knoll EAN: 9783030338428 COUNTRY: Switzerland PAGES: WEIGHT: 454 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2019-10-24 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Computer Science, COMPUTERS / Data Science / General, EDUCATION / Computers & Technology WIDTH: 155 cm SPINE:

      Book Themes:

      Educational equipment and technology, computer-aided learning (CAL), Computational biology / bioinformatics, Computer applications in the social and behavioural sciences, Computer applications in industry and technology, Artificial intelligence, Computer vision

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      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 following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.
      Format: Paperback / softback CONTRIBUTORS: Florian Knoll EAN: 9783030338428 COUNTRY: Switzerland PAGES: WEIGHT: 454 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2019-10-24 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Computer Science, COMPUTERS / Data Science / General, EDUCATION / Computers & Technology WIDTH: 155 cm SPINE:

      Book Themes:

      Educational equipment and technology, computer-aided learning (CAL), Computational biology / bioinformatics, Computer applications in the social and behavioural sciences, Computer applications in industry and technology, Artificial intelligence, Computer vision

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      Be the first to write a review
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