| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996460953703316 |
|
|
Autore |
FOX, Daniel M. |
|
|
Titolo |
The discovery of abundance : Simon N. Patten and the transformation of social theory / by Daniel M. Fox |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Ithaca, : Published for the American Historical Association [by] Cornell University Press, 1967 |
|
|
|
|
|
|
|
|
|
Descrizione fisica |
|
Testo elettronico (PDF) (XIII, 259 p.) |
|
|
|
|
|
|
Collana |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Risorsa elettronica |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
2. |
Record Nr. |
UNISA996538666203316 |
|
|
Titolo |
Functional Imaging and Modeling of the Heart [[electronic resource] ] : 12th International Conference, FIMH 2023, Lyon, France, June 19–22, 2023, Proceedings / / edited by Olivier Bernard, Patrick Clarysse, Nicolas Duchateau, Jacques Ohayon, Magalie Viallon |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2023.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (734 pages) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Computer Science, , 1611-3349 ; ; 13958 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computer vision |
Computer Vision |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Cardiac multiscale structure -- Cardiac electrophysiology modeling -- |
|
|
|
|
|
|
|
|
|
|
|
Image and shape analysis -- Cardiovascular hemodynamics and CFD -- Cardiac biomechanics -- Clinical applications. |
|
|
|
|
|
|
Sommario/riassunto |
|
This book constitutes the refereed proceedings of the 12th International Conference on Functional Imaging and Modeling of the Heart, held in Lyon, France, in June 2023. The 72 full papers were carefully reviewed and selected from 80 submissions. The focus of the papers is on following topics: increased imaging resolutions, data explosion, sophistication of computational models and advent of AI frameworks, while new imaging modalities have emerged (e.g. combined PET-MRI, Spectral CT). |
|
|
|
|
|
|
|
| |