Machine Learning in Clinical Neuroimaging / Lecture Notes in Computer Science Bd.13596 (PDF)
5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2022, held in Conjunction with MICCAI 2022, Singapore in September 2022.
The book includes 17 papers which were carefully...
The book includes 17 papers which were carefully...
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Produktinformationen zu „Machine Learning in Clinical Neuroimaging / Lecture Notes in Computer Science Bd.13596 (PDF)“
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2022, held in Conjunction with MICCAI 2022, Singapore in September 2022.
The book includes 17 papers which were carefully reviewed and selected from 23 full-length submissions.
The 5th international workshop on Machine Learning in Clinical Neuroimaging (MLCN2022) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track).
The papers are categorzied into topical sub-headings: Morphometry; Diagnostics, and Aging, and Neurodegeneration.
Bibliographische Angaben
- 2022, 1st ed. 2022, 180 Seiten, Englisch
- Herausgegeben: Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers
- Verlag: Springer Nature Switzerland
- ISBN-10: 3031178998
- ISBN-13: 9783031178993
- Erscheinungsdatum: 07.10.2022
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 21 MB
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Englisch
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