Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases

Autor: Saeed Karimi-Bidhendi, Arghavan Arafati, Andrew L. Cheng, Yilei Wu, Arash Kheradvar, Hamid Jafarkhani

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 22, Iss 1, Pp 1-24 (2020)

Abstract Background For the growing patient population with congenital heart disease (CHD), improving clinical workflow, accuracy of diagnosis, and efficiency of analyses are considered unmet clinical needs. Cardiovascular magnetic resonance (CMR) im

Externí odkaz: https://doaj.org/article/565c24e4915349749ee38c8811371b35

Calidad en la Educación a Distancia: un concepto polisémico

Autor: Andrade, Alequexandre Galvez de, Ferreira, Elaine Santos, Silva, Lana Cristina de Almeida, Santos, Thatiana Soares dos, Reis, Nélio Fernando dos

Publikováno v: Research, Society and Development; Vol. 10 No. 13; e26101320910
Research, Society and Development; Vol. 10 Núm. 13; e26101320910
Research, Society and Development; v. 10 n. 13; e26101320910
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI

Distance learning in higher education has grown substantially in Brazil, for some it is a modality and for others a new pedagogy with a new field of study, especially in adult education. This boost in Distance Education is marked by the growth in bot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::0b9ba2159bc8e24ccde8a89bce4927f0
https://rsdjournal.org/index.php/rsd/article/view/20910

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