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Daniel L Rubin

Showing results (91-100 of 261) with videos related to

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AMIA ... Annual Symposium Proceedings. AMIA Symposium|August 13, 2008
LesionViewer: a tool for tracking cancer lesions over timeMia A Levy, Ankit Garg, Aaron Tam, et al.
Ultrasound in Medicine & Biology|October 16, 2019
A New Multimodel Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different VendorsIsabelle Durot, Alireza Akhbardeh, Hersh Sagreiya, et al.
Journal of Digital Imaging|April 1, 2010
Ontology-assisted analysis of Web queries to determine the knowledge radiologists seekDaniel L Rubin, Adam Flanders, Woojin Kim, et al.
AJR. American Journal of Roentgenology|January 23, 2020
Quantitative Framework for Risk Stratification of Thyroid Nodules With Ultrasound: A Step Toward Automated Triage of Thyroid CancerAlfiia Galimzianova, Sean M Siebert, Aya Kamaya, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 15, 2017
Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesionsAlfiia Galimzianova, Žiga Lesjak, Daniel L Rubin, et al.
Cancer Informatics|November 5, 2014
Developing a comprehensive database management system for organization and evaluation of mammography datasetsYirong Wu, Daniel L Rubin, Ryan W Woods, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 19, 2017
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcomaImon Banerjee, Alexis Crawley, Mythili Bhethanabotla, et al.
Journal of Biomedical Informatics|July 9, 2016
Using automatically extracted information from mammography reports for decision-supportSelen Bozkurt, Francisco Gimenez, Elizabeth S Burnside, et al.
Medical Physics|December 17, 2018
A multi-model framework to estimate perfusion parameters using contrast-enhanced ultrasound imagingAlireza Akhbardeh, Hersh Sagreiya, Ahmed El Kaffas, et al.
BMC Bioinformatics|February 12, 2009
Computational neuroanatomy: ontology-based representation of neural components and connectivityDaniel L Rubin, Ion-Florin Talos, Michael Halle, et al.
Pageof 27

Showing results (91-100 of 261) with videos related to

Sort By:
Pageof 27
AMIA ... Annual Symposium Proceedings. AMIA Symposium|August 13, 2008
LesionViewer: a tool for tracking cancer lesions over timeMia A Levy, Ankit Garg, Aaron Tam, et al.
Ultrasound in Medicine & Biology|October 16, 2019
A New Multimodel Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different VendorsIsabelle Durot, Alireza Akhbardeh, Hersh Sagreiya, et al.
Journal of Digital Imaging|April 1, 2010
Ontology-assisted analysis of Web queries to determine the knowledge radiologists seekDaniel L Rubin, Adam Flanders, Woojin Kim, et al.
AJR. American Journal of Roentgenology|January 23, 2020
Quantitative Framework for Risk Stratification of Thyroid Nodules With Ultrasound: A Step Toward Automated Triage of Thyroid CancerAlfiia Galimzianova, Sean M Siebert, Aya Kamaya, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 15, 2017
Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesionsAlfiia Galimzianova, Žiga Lesjak, Daniel L Rubin, et al.
Cancer Informatics|November 5, 2014
Developing a comprehensive database management system for organization and evaluation of mammography datasetsYirong Wu, Daniel L Rubin, Ryan W Woods, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 19, 2017
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcomaImon Banerjee, Alexis Crawley, Mythili Bhethanabotla, et al.
Journal of Biomedical Informatics|July 9, 2016
Using automatically extracted information from mammography reports for decision-supportSelen Bozkurt, Francisco Gimenez, Elizabeth S Burnside, et al.
Medical Physics|December 17, 2018
A multi-model framework to estimate perfusion parameters using contrast-enhanced ultrasound imagingAlireza Akhbardeh, Hersh Sagreiya, Ahmed El Kaffas, et al.
BMC Bioinformatics|February 12, 2009
Computational neuroanatomy: ontology-based representation of neural components and connectivityDaniel L Rubin, Ion-Florin Talos, Michael Halle, et al.
Pageof 27