Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
Seiten
2019
|
1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-12028-3 (ISBN)
Springer International Publishing (Verlag)
978-3-030-12028-3 (ISBN)
This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.
The 52 revised full workshop papers were carefully reviewed and selected from 60 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.
The 52 revised full workshop papers were carefully reviewed and selected from 60 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.
Cardiac imaging and image processing.- Machine learning applied to cardiac imaging and image analysis.- Atlas construction.- Statistical modelling of cardiac function across different patient populations.- Cardiac computational physiology.- Model customization.- Atlas based functional analysis.- Ontological schemata for data and results.- Integrated functional and structural analyses.- Pre-clinical and clinical applicability of these methods.
| Erscheinungsdatum | 16.02.2019 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XIV, 487 p. 216 illus., 192 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 755 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Artificial Intelligence • atrial segmentation • automatic segmentations • cardiac statistical atlases • CFD • Cross validation • Deep learning • electrophysiology modeling • heart biomechanical simulations • Image Analysis • Image Processing • Image Quality • image reconstruction • Image Segmentation • left ventricle quantification • Medical Images • Neural networks • segmentation methods • SVM • wireless networks |
| ISBN-10 | 3-030-12028-7 / 3030120287 |
| ISBN-13 | 978-3-030-12028-3 / 9783030120283 |
| Zustand | Neuware |
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