Výsledky vyhledávání

Akademický článek

Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography.

Autor: Carvalho ARS; Cardiovascular R&D Centre (UnIC), Department of Surgery and Physiology, Faculty of Medicine, University of Porto, Porto, Portugal.; Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Guimarães A; Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Garcia TSO; Medical Faculty, Universidade Estácio de Sá, Rio de Janeiro, Brazil., Madeira Werberich G; Department of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Ceotto VF; Hospital Niteroi D'Or, Niterói, Brazil., Bozza FA; D'Or Institute for Research and Education, Rio de Janeiro, Brazil.; National Institute of Infectious Disease, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil., Rodrigues RS; Department of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; D'Or Institute for Research and Education, Rio de Janeiro, Brazil., Pinto JSF; Radiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal., Schmitt WR; Radiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal., Zin WA; Laboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., França M; Radiology Department, Complexo Hospitalar Universitário do Porto, Porto, Portugal.; Instituto de Ciências Biomeìdicas Abel Salazar, Porto University, Porto, Portugal.

Publikováno v: Frontiers in physiology [Front Physiol] 2021 Feb 15; Vol. 12, pp. 617657. Date of Electronic Publication: 2021 Feb 15 (Print Publication: 2021).

Zobrazit plný text záznamu

Akademický článek

COVID-19 Chest Computed Tomography to Stratify Severity and Disease Extension by Artificial Neural Network Computer-Aided Diagnosis.

Autor: Carvalho ARS; UnIC, Faculty of Medicine, Cardiovascular R&D Center, Centro Hospitalar Universitário Do Porto (CHUP), Porto University, Porto, Portugal.; Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Laboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Guimarães A; Laboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Werberich GM; Department of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., de Castro SN; Hospital Barra D'Or, Rio de Janeiro, Brazil.; National Institute of Infectious Disease, Oswaldo Cruz Foundation (INI/Fiocruz), Rio de Janeiro, Brazil., Pinto JSF; Radiology Department, Centro Hospitalar Complexo Universitário Do Porto (CHUP), Porto, Portugal., Schmitt WR; Radiology Department, Centro Hospitalar Complexo Universitário Do Porto (CHUP), Porto, Portugal., França M; Radiology Department, Centro Hospitalar Complexo Universitário Do Porto (CHUP), Porto, Portugal.; Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Porto University, Porto, Portugal., Bozza FA; National Institute of Infectious Disease, Oswaldo Cruz Foundation (INI/Fiocruz), Rio de Janeiro, Brazil.; IDOR - D'Or Institute for Research and Education, Rio de Janeiro, Brazil., Guimarães BLDS; Hospital Niterói D'Or, Rio de Janeiro, Brazil., Zin WA; Laboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Rodrigues RS; Department of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; IDOR - D'Or Institute for Research and Education, Rio de Janeiro, Brazil.

Publikováno v: Frontiers in medicine [Front Med (Lausanne)] 2020 Dec 04; Vol. 7, pp. 577609. Date of Electronic Publication: 2020 Dec 04 (Print Publication: 2020).

Zobrazit plný text záznamu

Akademický článek

Pediatric cerebellopontine angle and internal auditory canal tumors: clinical article..

Autor: Holman MA; Departments of Otolaryngology-Head and Neck Surgery and., Schmitt WR, Carlson ML, Driscoll CL, Beatty CW, Link MJ

Publikováno v: Journal of neurosurgery. Pediatrics [J Neurosurg Pediatr] 2013 Oct; Vol. 12 (4), pp. 317-24. Date of Electronic Publication: 2013 Aug 02.

Zobrazit plný text záznamu

Akademický článek

Use of supramaximal stimulation to predict facial nerve outcomes following vestibular schwannoma microsurgery: results from a decade of experience.

Autor: Schmitt WR; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic School of Medicine, Rochester, Minnesota 55905, USA., Daube JR, Carlson ML, Mandrekar JN, Beatty CW, Neff BA, Driscoll CL, Link MJ

Publikováno v: Journal of neurosurgery [J Neurosurg] 2013 Jan; Vol. 118 (1), pp. 206-12. Date of Electronic Publication: 2012 Nov 09.

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání