Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Romane Gauriau"'
Autor:
Romane Gauriau, Bernardo C. Bizzo, Donnella S. Comeau, James M. Hillis, Christopher P. Bridge, John K. Chin, Jayashri Pawar, Ali Pourvaziri, Ivana Sesic, Elshaimaa Sharaf, Jinjin Cao, Flavia T. C. Noro, Walter F. Wiggins, M. Travis Caton, Felipe Kitamura, Keith J. Dreyer, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Ramon G. Gonzalez, Michael H. Lev
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Non-contrast head CT (NCCT) is extremely insensitive for early ( 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-pos
Externí odkaz:
https://doaj.org/article/854bbf674fbe487dae58da0a4762c5f1
Autor:
Christopher P. Bridge, Bernardo C. Bizzo, James M. Hillis, John K. Chin, Donnella S. Comeau, Romane Gauriau, Fabiola Macruz, Jayashri Pawar, Flavia T. C. Noro, Elshaimaa Sharaf, Marcelo Straus Takahashi, Bradley Wright, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Stefano Pedemonte, R. Gilberto González
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Stroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. We developed a machine learnin
Externí odkaz:
https://doaj.org/article/157c664d20a9403091eb001175b7373f
Autor:
Matthew A. Haber, Giorgio P. Biondetti, Romane Gauriau, Donnella S. Comeau, John K. Chin, Bernardo C. Bizzo, Julia Strout, Alexandra J. Golby, Katherine P. Andriole
Publikováno v:
Neural Computing and Applications. 35:9907-9915
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16365bd652d71b86362be72f9a2bc060
https://doi.org/10.1007/s00521-023-08225-5
https://doi.org/10.1007/s00521-023-08225-5
Autor:
Romane Gauriau, John K Chin, Christopher P. Bridge, James Hillis, Bradley Wright, Elshaimaa Sharaf, Jayashri Pawar, R. Gilberto Gonzalez, Stefano Pedemonte, John Francis Kalafut, Bernardo Bizzo, Stuart R. Pomerantz, Katherine P. Andriole, Fabiola B. C. Macruz, Marcelo Straus Takahashi, Donnella S Comeau, Flavia T C Noro
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
BackgroundStroke is a leading cause of death and disability. The ability to quickly identify the presence of acute infarct and quantify the volume on magnetic resonance imaging (MRI) has important treatment implications. MethodsWe developed a machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03e4e048dcd8c86260633466ae7a316c
https://doaj.org/article/157c664d20a9403091eb001175b7373f
https://doaj.org/article/157c664d20a9403091eb001175b7373f
Autor:
James M Hillis, Bernardo C Bizzo, Romane Gauriau, Christopher P Bridge, John K Chin, Buthaina Hakamy, Sarah Mercaldo, John Conklin, Sayon Dutta, William A Mehan, Robert W Regenhardt, Ajay Singh, Aneesh B Singhal, Jonathan D Sonis, Marc D Succi, Tianhao Zhang, Bin Xing, John F Kalafut, Keith J Dreyer, Michael H Lev, R Gilberto González
Acute ischemic stroke can be subtle to detect on non-contrast computed tomography imaging. We show that a novel artificial intelligence model significantly improves the performance of physicians, including ED physicians, neurologists and radiologists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cd5f830fad6f0074469014b57efa9aa
https://doi.org/10.1101/2023.01.16.23284632
https://doi.org/10.1101/2023.01.16.23284632
Autor:
Eric Saloux, Alexandre Popoff, Hélène Langet, Paolo Piro, Camille Ropert, Romane Gauriau, Romain Stettler, Mihaela Silvia Amzulescu, Guillaume Pizaine, Pascal Allain, Olivier Bernard, Amir Hodzic, Alain Manrique, Mathieu De Craene, Bernhard L. Gerber
Structured AbstractObjectiveTo evaluate accuracy and reproducibility of 2D echocardiography (2DE) left ventricular (LV) volumes and ejection fraction (LVEF) estimates by Deep Learning (DL) vs. manual contouring and against CMR.Background2DE LV manual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d63d5b76ecc83d2e3efd1c17fb2246e
https://doi.org/10.1101/2022.07.26.22278059
https://doi.org/10.1101/2022.07.26.22278059
Autor:
Romane Gauriau, Bernardo C. Bizzo, Donnella S. Comeau, James M. Hillis, Christopher P. Bridge, John K. Chin, Jayashri Pawar, Ali Pourvaziri, Ivana Sesic, Elshaimaa Sharaf, Jinjin Cao, Flavia T. C. Noro, Walter F. Wiggins, M. Travis Caton, Felipe Kitamura, Keith J. Dreyer, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Ramon G. Gonzalez, Michael H. Lev
Publikováno v:
Scientific reports. 13(1)
Non-contrast head CT (NCCT) is extremely insensitive for early (2 > 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-positive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1885ccb00088b6a641888d115188ee75
https://pubmed.ncbi.nlm.nih.gov/36604467
https://pubmed.ncbi.nlm.nih.gov/36604467
Autor:
John Francis Kalafut, John K Chin, Katherine P. Andriole, Felipe Kitamura, Michael H. Lev, Jayashri Pawar, Keith J. Dreyer, Christopher P. Bridge, Stuart R. Pomerantz, James Hillis, Jinjin Cao, Ivana Sesic, Flavia T C Noro, Bernardo Bizzo, Romane Gauriau, Elshaimaa Sharaf, Ali Pourvaziri, Donnella S Comeau, Ramon Gonzalez
Non-contrast head CT (NCCT) is extremely insensitive for early (2 > 0.98).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::174111256cb9ba403a70cacbb619a0d5
https://doi.org/10.21203/rs.3.rs-415673/v1
https://doi.org/10.21203/rs.3.rs-415673/v1
Autor:
Neil A. Tenenholtz, Lina Chen, Felipe Kitamura, John E. Kirsch, Katherine P. Andriole, Bernardo Bizzo, Mark Michalski, Christopher P. Bridge, Romane Gauriau
Publikováno v:
J Digit Imaging
The growing interest in machine learning (ML) in healthcare is driven by the promise of improved patient care. However, how many ML algorithms are currently being used in clinical practice? While the technology is present, as demonstrated in a variet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdff58a32ab5a38477ff5fe013374ae3
https://pubmed.ncbi.nlm.nih.gov/31950302
https://pubmed.ncbi.nlm.nih.gov/31950302
Autor:
Marcio Aloisio Bezerra Cavalcanti Rockenbach, David Buric, Jeffrey Carness, Caitlin Burke, Jakob Wollborn, Saniya Sami, Varun Buch, Quanzheng Li, Nir Neumark, Romane Gauriau, Dufan Wu, Hariharan Ravishankar, Rohit Pardasani, Abhijit Patil, Dirk Varelmann, Pankaj Sarin
Publikováno v:
Critical Care Medicine. 50:68-68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b4c2e2a01401a3f3471a65fae2a5b2f
https://doi.org/10.1097/01.ccm.0000807000.69833.77
https://doi.org/10.1097/01.ccm.0000807000.69833.77