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Published by Springer, 2020
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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology : Third International Workshop, Mlcn 2020, and Second International Workshop, Rno-ai 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4?8, 2020, Proceedings
Kia, Seyed Mostafa (EDT); Mohy-ud-din, Hassan (EDT); Abdulkadir, Ahmed (EDT); Bass, Cher (EDT); Habes, Mohamad (EDT)
Language: English
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Published by Springer, 2020
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Language: English
Published by Springer, 2020
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Language: English
Published by Springer, 2020
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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology : Third International Workshop, Mlcn 2020, and Second International Workshop, Rno-ai 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4?8, 2020, Proceedings
Kia, Seyed Mostafa (EDT); Mohy-ud-din, Hassan (EDT); Abdulkadir, Ahmed (EDT); Bass, Cher (EDT); Habes, Mohamad (EDT)
Language: English
Published by Springer, 2020
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Published by Springer Nature Switzerland AG, CH, 2020
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Paperback. Condition: New. 1st ed. 2020. This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in Octobe…r 2020.*For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging.For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.*The workshops were held virtually due to the COVID-19 pandemic.
Language: English
Published by Springer, 2020
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Language: English
Published by Springer, 2020
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Published by Springer 2020-02-25, 2020
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Language: English
Published by Springer, 2020
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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology : Third International Workshop, Mlcn 2020, and Second International Workshop, Rno-ai 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4?8, 2020, Proceedings
Kia, Seyed Mostafa (EDT); Mohy-ud-din, Hassan (EDT); Abdulkadir, Ahmed (EDT); Bass, Cher (EDT); Habes, Mohamad (EDT)
Language: English
Published by Springer, 2020
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Published by Springer, 2020
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2020
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Published by Springer, 2020
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Language: English
Published by Springer, 2020
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Published by Springer, 2020
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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology : Third International Workshop, Mlcn 2020, and Second International Workshop, Rno-ai 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4?8, 2020, Proceedings
Kia, Seyed Mostafa (EDT); Mohy-ud-din, Hassan (EDT); Abdulkadir, Ahmed (EDT); Bass, Cher (EDT); Habes, Mohamad (EDT)
Language: English
Published by Springer, 2020
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Published by Springer-Verlag New York Inc, 2020
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Published by Springer-Nature New York Inc, 2021
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Published by Springer, 2020
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Published by Springer, 2020
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Published by Springer, 2020
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction w…ith MICCAI 2020, in Lima, Peru, in October 2020.\*For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging.For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.\*The workshops were held virtually due to the COVID-19 pandemic.
Language: English
Published by Springer, Springer, 2020
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in…this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.
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Published by Springer, 2020
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Taschenbuch. Condition: Neu. Radiomics and Radiogenomics in Neuro-oncology | First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings | Hassan Mohy-Ud-Din (u. a.) | Taschenbuch | Lecture Notes in Computer Science | ix | Englisch | 2020 | Springer | EAN 978303…0401238 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer Nature Switzerland AG, CH, 2020
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Paperback. Condition: New. 1st ed. 2020. This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in Octobe…r 2020.*For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging.For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.*The workshops were held virtually due to the COVID-19 pandemic.
Language: English
Published by Springer, 2020
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Published by Springer, 2020
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Published by Springer, 2020
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Language: English
Published by Springer, 2020
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