Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Thomas J Schultz"'
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:
Vitor Lavor, Varun Buch, Behrooz Hashemian, Jayashree Kalpathy-Cramer, Nir Neumark, Daguang Xu, Prerna Dogra, Miao Zhang, Yan Cheng, Etta D. Pisano, B. Min Yun, Vikash Gupta, Jay B. Patel, Ahmed Harouni, Keith J. Dreyer, Alvin Ihsani, Bryan Chen, Praveer Singh, Richard D. White, Wenqi Li, Colin B. Compas, Sharut Gupta, Thomas J. Schultz, Meesam Shah, Jesse Tetreault, Daniel L. Rubin, Sean Ko, Ken Chang, Laura Coombs, Ram C. Naidu, Evan Leibovitz, Holger R. Roth, Liangqiong Qu, Yuhong Wen, Katharina Hoebel, Ittai Dayan, Bernardo Bizzo, Felipe Kitamura, Matheus Ribeiro Furtado de Mendonça, Mona Flores, Elshaimaa Sharaf, Selnur Erdal, Adam McCarthy
Publikováno v:
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning ISBN: 9783030605476
DART/DCL@MICCAI
DART/DCL@MICCAI
Building robust deep learning-based models requires large quantities of diverse training data. In this study, we investigate the use of federated learning (FL) to build medical imaging classification models in a real-world collaborative setting. Seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a47ee65b646f784422a9598f7fbf893c
https://doi.org/10.1007/978-3-030-60548-3_18
https://doi.org/10.1007/978-3-030-60548-3_18
Autor:
Ellen J. Sugarman, Tianqi Chen, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Thomas J. Schultz, Keith J. Dreyer, Fatemeh Homayounieh
Publikováno v:
J Digit Imaging
The purpose of this study was to assess if clinical indications, patient location, and imaging sites predict the viewing pattern of referring physicians for CT and MR of the head, chest, and abdomen. Our study included 166,953 CT/MR images of head/ch
Autor:
Ron Kikinis, Veronica E. Klepeis, Steven D. Pieper, David H. Hwang, Gopal Kotecha, Giles W. Boland, Andriy Fedorov, Katherine P. Andriole, Jeffrey A. Golden, Jochen K. Lennerz, David A. Clunie, David S. Milstone, Markus D. Herrmann, Sean Doyle, Keith J. Dreyer, Long P. Le, A. John Iafrate, Mark Michalski, James A. Brink, David N. Louis, Thomas J. Schultz, George L. Mutter
Publikováno v:
Journal of Pathology Informatics
Journal of Pathology Informatics, Vol 9, Iss 1, Pp 37-37 (2018)
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
Autor:
Thomas J. Schultz, Ray Christensen
Publikováno v:
American Politics Research. 42:311-337
Although voter ID laws have become a hot topic of political debate, existing scholarship has failed to produce conclusive evidence concerning the existence or frequency of electoral fraud, especially the type of fraud that would be prevented by photo
Autor:
Keith J. Dreyer, Elkan F. Halpern, Pragya A. Dang, Thomas J. Schultz, Michael A. Blake, Mannudeep K. Kalra
Publikováno v:
American Journal of Roentgenology. 191:313-320
The purposes of this study were to validate a natural language processing program for extraction of recommendation features, such as recommended time frames and imaging technique, from electronic radiology reports and to assess patterns of recommenda
Autor:
Elkan F. Halpern, Markus Stout, Michael A. Blake, Paul R. Lemay, Keith J. Dreyer, Mannudeep K. Kalra, Thomas J. Schultz, Pragya A. Dang, David J. Freshman
Publikováno v:
Journal of the American College of Radiology. 5:197-204
The study purpose was to describe the use of natural language processing (NLP) and online analytic processing (OLAP) for assessing patterns in recommendations in unstructured radiology reports on the basis of patient and imaging characteristics, such
Autor:
James H. Thrall, Elkan F. Halpern, Mannudeep K. Kalra, Keith J. Dreyer, Benjamin A. Asfaw, Thomas J. Schultz, Autumn M. Hurier, Michael M. Maher
Publikováno v:
Radiology. 234:323-329
To validate the accuracy of Lexicon Mediated Entropy Reduction (LEXIMER), a new information theory-based computer algorithm developed by the authors for independent analysis and classification of unstructured radiology reports based on the presence o
Publikováno v:
Journal of Digital Imaging. 14:98-101
Objective: Develop methods for automated transfer of images and associated text from a teaching-file repository into presentation material for speaker-led conferences.erials/Methods:Our institution uses a Microsoft Windows (Microsoft Corp, Redmond, W
Publikováno v:
Academic Radiology. 6:496-501