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Brian Hurt

Showing results (1-10 of 9) with videos related to

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Journal of Thoracic Imaging|March 25, 2020
Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) OutbreakBrian Hurt, Seth Kligerman, Albert Hsiao
Journal of Thoracic Imaging|March 25, 2020
Augmenting Interpretation of Chest Radiographs With Deep Learning Probability MapsBrian Hurt, Andrew Yen, Seth Kligerman, et al.
American Journal of Surgery|August 24, 2017
Cancer-promoting mechanisms of tumor-associated neutrophilsBrian Hurt, Richard Schulick, Barish Edil, et al.
Journal of the American College of Emergency Physicians Open|January 4, 2021
Deployment of artificial intelligence for radiographic diagnosis of COVID-19 pneumonia in the emergency departmentMorgan Carlile, Brian Hurt, Albert Hsiao, et al.
Scientific Reports|December 20, 2014
Entropy, complexity, and Markov diagrams for random walk cancer modelsPaul K Newton, Jeremy Mason, Brian Hurt, et al.
Journal of Thoracic Imaging|October 28, 2021
Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19Brian Hurt, Meagan A Rubel, Evan M Masutani, et al.
NPJ Breast Cancer|July 20, 2017
Spatiotemporal progression of metastatic breast cancer: a Markov chain model highlighting the role of early metastatic sitesPaul K Newton, Jeremy Mason, Neethi Venkatappa, et al.
Scientific Reports|January 18, 2022
Automated segmentation of multiparametric magnetic resonance images for cerebral AVM radiosurgery planning: a deep learning approachAaron B Simon, Brian Hurt, Roshan Karunamuni, et al.
Journal of Digital Imaging|February 12, 2022
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical ReportsAudrey Y Ha, Bao H Do, Adam L Bartret, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Thoracic Imaging|March 25, 2020
Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) OutbreakBrian Hurt, Seth Kligerman, Albert Hsiao
Journal of Thoracic Imaging|March 25, 2020
Augmenting Interpretation of Chest Radiographs With Deep Learning Probability MapsBrian Hurt, Andrew Yen, Seth Kligerman, et al.
American Journal of Surgery|August 24, 2017
Cancer-promoting mechanisms of tumor-associated neutrophilsBrian Hurt, Richard Schulick, Barish Edil, et al.
Journal of the American College of Emergency Physicians Open|January 4, 2021
Deployment of artificial intelligence for radiographic diagnosis of COVID-19 pneumonia in the emergency departmentMorgan Carlile, Brian Hurt, Albert Hsiao, et al.
Scientific Reports|December 20, 2014
Entropy, complexity, and Markov diagrams for random walk cancer modelsPaul K Newton, Jeremy Mason, Brian Hurt, et al.
Journal of Thoracic Imaging|October 28, 2021
Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19Brian Hurt, Meagan A Rubel, Evan M Masutani, et al.
NPJ Breast Cancer|July 20, 2017
Spatiotemporal progression of metastatic breast cancer: a Markov chain model highlighting the role of early metastatic sitesPaul K Newton, Jeremy Mason, Neethi Venkatappa, et al.
Scientific Reports|January 18, 2022
Automated segmentation of multiparametric magnetic resonance images for cerebral AVM radiosurgery planning: a deep learning approachAaron B Simon, Brian Hurt, Roshan Karunamuni, et al.
Journal of Digital Imaging|February 12, 2022
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical ReportsAudrey Y Ha, Bao H Do, Adam L Bartret, et al.
Pageof 1