Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Katherine P Andriole"'
Autor:
Bernardo C Bizzo, Shadi Ebrahimian, Mark E Walters, Mark H Michalski, Katherine P Andriole, Keith J Dreyer, Mannudeep K Kalra, Tarik Alkasab, Subba R Digumarthy
Publikováno v:
PLoS ONE, Vol 17, Iss 4, p e0267213 (2022)
A standardized objective evaluation method is needed to compare machine learning (ML) algorithms as these tools become available for clinical use. Therefore, we designed, built, and tested an evaluation pipeline with the goal of normalizing performan
Externí odkaz:
https://doaj.org/article/0f56a7d673ec4cba8fb032ce0553968f
Autor:
Markus D Herrmann, David A Clunie, Andriy Fedorov, Sean W Doyle, Steven Pieper, Veronica Klepeis, Long P Le, George L Mutter, David S Milstone, Thomas J Schultz, Ron Kikinis, Gopal K Kotecha, David H Hwang, Katherine P Andriole, A John Iafrate, James A Brink, Giles W Boland, Keith J Dreyer, Mark Michalski, Jeffrey A Golden, David N Louis, Jochen K Lennerz
Publikováno v:
Journal of Pathology Informatics, Vol 9, Iss 1, Pp 37-37 (2018)
Background: Digital Imaging and Communications in Medicine (DICOM®) is the standard for the representation, storage, and communication of medical images and related information. A DICOM file format and communication protocol for pathology have been
Externí odkaz:
https://doaj.org/article/d0f634989b4f4163b8669fb2c90130e7
Autor:
James M. Hillis, Jacob J. Visser, Edward R. Scheffer Cliff, Kelly van der Geest – Aspers, Bernardo C. Bizzo, Keith J. Dreyer, Jeremias Adams-Prassl, Katherine P. Andriole
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-5 (2024)
Externí odkaz:
https://doaj.org/article/637226df86bc41d28b53f5b4b3376158
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:
Katherine P. Andriole
Publikováno v:
EMJ Radiology. :55-58
Autor:
Kirti, Magudia, Christopher P, Bridge, Camden P, Bay, Subrina, Farah, Ana, Babic, Florian J, Fintelmann, Lauren K, Brais, Katherine P, Andriole, Brian M, Wolpin, Michael H, Rosenthal
Publikováno v:
American Journal of Roentgenology. 220:236-244
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
Autor:
Marc D. Succi, Debby Cheng, Katherine P. Andriole, Florian J. Fintelmann, Efren J. Flores, Haipeng Zhang, Michael S. Gee, Christopher M. Coburn, James A. Brink
Publikováno v:
Nature Biotechnology. 41:579-581
Autor:
Cory Robinson-Weiss, Jay Patel, Bernardo C. Bizzo, Daniel I. Glazer, Christopher P. Bridge, Katherine P. Andriole, Borna Dabiri, John K. Chin, Keith Dreyer, Jayashree Kalpathy-Cramer, William W. Mayo-Smith
Publikováno v:
Radiology. 306
Background Adrenal masses are common, but radiology reporting and recommendations for management can be variable. Purpose To create a machine learning algorithm to segment adrenal glands on contrast-enhanced CT images and classify glands as normal or
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