Recent Advances in Understanding the Basic Mechanisms of Atrial Fibrillation Using Novel Computational Approaches |
Autore | Zhao Jichao |
Pubbl/distr/stampa | Frontiers Media SA, 2019 |
Descrizione fisica | 1 electronic resource (413 p.) |
Soggetto topico |
Science: general issues
Physiology |
Soggetto non controllato |
atrial fibrillation
cardiac electrophysiology computer simulation computational modeling arrhythmia mechanisms |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557549603321 |
Zhao Jichao | ||
Frontiers Media SA, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges [[electronic resource] ] : 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers / / edited by Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, Tommaso Mansi |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XIV, 487 p. 216 illus., 192 illus. in color.) |
Disciplina | 006.3 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Computer communication systems Data mining Image Processing and Computer Vision Artificial Intelligence Computer Communication Networks Data Mining and Knowledge Discovery |
ISBN | 3-030-12029-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNISA-996466443503316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
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 / / edited by Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, Tommaso Mansi |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XIV, 487 p. 216 illus., 192 illus. in color.) |
Disciplina |
006.3
616.120757 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Artificial intelligence Computer communication systems Data mining Image Processing and Computer Vision Artificial Intelligence Computer Communication Networks Data Mining and Knowledge Discovery |
ISBN | 3-030-12029-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNINA-9910337573303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|