Machine Learning Clinical Neuroimaging (80 results)
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
Series: Lecture Notes in Computer Science, Book 252 of 300. Book 252 of 300 - Lecture Notes in Computer Science
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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
Series: Lecture Notes in Computer Science, Book 252 of 300. Book 252 of 300 - Lecture Notes in Computer Science
- Softcover
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Published by Springer Nature Switzerland AG, CH 2020
Series: Lecture Notes in Computer Science, Book 252 of 300. Book 252 of 300 - Lecture Notes in Computer Science
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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.
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Published by Springer International Publishing AG, Cham 2024
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Paperback. Condition: new. Paperback. This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, held in Conjunction with MICCAI 2024 in Marrakesh, Morocco, on 10th October 2024. The 16 full papers presented in this volume were carefully reviewed and…selected from 28 submissions. They are grouped into the following topics: machine learning; clinical applications. This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, held in Conjunction with MICCAI 2024 in Marrakesh, Morocco, on 10th October 2024. The 16 full papers presented in this volume were carefully reviewed and selected from 28 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer 2020
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Machine Learning in Clinical Neuroimaging : 4th International Workshop, Mlcn 2021, Held in Conjunction With Miccai 2021, Strasbourg, France, September 27, 2021, Proceedings
Abdulkadir, Ahmed (EDT); Kia, Seyed Mostafa (EDT); Habes, Mohamad (EDT); Kumar, Vinod (EDT); Rondina, Jane Maryam (EDT)
Language: English
Published by Springer 2021
Series: Lecture Notes in Computer Science, Book 126 of 129. Book 126 of 129 - Lecture Notes in Computer Science
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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
Series: Lecture Notes in Computer Science, Book 252 of 300. Book 252 of 300 - Lecture Notes in Computer Science
- Softcover
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Published by Springer 2021-09 2021
Series: Lecture Notes in Computer Science, Book 126 of 129. Book 126 of 129 - Lecture Notes in Computer Science
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Published by Springer 2020
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Machine Learning in Clinical Neuroimaging : 4th International Workshop, Mlcn 2021, Held in Conjunction With Miccai 2021, Strasbourg, France, September 27, 2021, Proceedings
Abdulkadir, Ahmed (EDT); Kia, Seyed Mostafa (EDT); Habes, Mohamad (EDT); Kumar, Vinod (EDT); Rondina, Jane Maryam (EDT)
Language: English
Published by Springer 2021
Series: Lecture Notes in Computer Science, Book 126 of 129. Book 126 of 129 - Lecture Notes in Computer Science
- Softcover
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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
Series: Lecture Notes in Computer Science, Book 252 of 300. Book 252 of 300 - Lecture Notes in Computer Science
- Softcover
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Condition: New. pp. 184.
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Published by Springer-Nature New York Inc 2021
Series: Lecture Notes in Computer Science, Book 252 of 300. Book 252 of 300 - Lecture Notes in Computer Science
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Published by Springer, Berlin|Springer Nature Switzerland|Springer 2022
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Published by Springer International Publishing, Springer International Publishing 2019
Series: Lecture Notes in Computer Science, Book 143 of 300. Book 143 of 300 - Lecture Notes in Computer Science
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction…with MICCAI 2019, in Shenzhen, China, in October 2019.For OR 2.0 all 6 submissions were accepted for publication. They aim to highlight the potential use of machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors, wearable and implantable electronics and robots, visual attention models, cognitive models, decision support networks to enhance surgical procedural assistance, context-awareness and team communication in the operating theater, human-robot collaborative systems, and surgical training and assessment.MLCN 2019 accepted 6 papers out of 7 submissions 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.Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
Language: English
Published by Springer International Publishing 2020
Series: Lecture Notes in Computer Science, Book 252 of 300. Book 252 of 300 - Lecture Notes in Computer Science
- Softcover
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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.
