Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings

M. Jorge Cardoso والمزيد
    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.

The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٦ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Abdominal Imaging. Computational and Clinical Applications Abdominal Imaging. Computational and Clinical Applications
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Thoracic Image Analysis Thoracic Image Analysis
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Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
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Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers
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Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
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Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
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Domain Adaptation and Representation Transfer Domain Adaptation and Representation Transfer
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Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
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Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
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Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
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