Tommaso Mansi,
Tommaso (Senior Director, Image-Guided Therapy and Digital Twin Research Group, Siemens Healthcare) Mansi,
Tiziano Passerini,
Tiziano (AI Scientist, Cardiovascular Research Group, Siemens Healthcare) Passerini,
Dorin Comaniciu,
Dorin (Senior Vice President for Artificial Intelligence and Digital Innovation, Siemens Healthcare) Comaniciu
e.a.
Artificial Intelligence for Computational Modeling of the Heart
Paperback Engels 2019 9780128175941Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient’s heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.
Specificaties
ISBN13:9780128175941
Taal:Engels
Bindwijze:Paperback
Aantal pagina's:274
Uitgever:Elsevier Science
Hoofdrubriek:Geneeskunde, Computer en informatica
Lezersrecensies
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Inhoudsopgave
1. Introduction
2. Multi-scale Models of the Heart for Individualized Simulations
3. Learning Cardiac Anatomy: from Images to Heart Avatar
4. Data-Driven Reduction of Cardiac Models
5. Machine Learning Methods for Robust Parameter Estimation
6. Clinical Applications
7. Conclusion and Perspective
2. Multi-scale Models of the Heart for Individualized Simulations
3. Learning Cardiac Anatomy: from Images to Heart Avatar
4. Data-Driven Reduction of Cardiac Models
5. Machine Learning Methods for Robust Parameter Estimation
6. Clinical Applications
7. Conclusion and Perspective
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