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Matthew D Li

Showing results (41-50 of 60) with videos related to

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Regenerative Medicine|October 2, 2012
Enabling advanced cell therapies (EnACT): invitation to an online forum on resolving barriers to clinical translationTania Bubela, Amir Reshef, Matthew D Li, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance StudyAvik Som, Min Lang, Tristan Yeung, et al.
Academic Radiology|February 16, 2020
Noninterpretive Uses of Artificial Intelligence in RadiologyMichael L Richardson, Elisabeth R Garwood, Yueh Lee, et al.
The Lancet. Infectious Diseases|May 4, 2020
Hypoxaemia related to COVID-19: vascular and perfusion abnormalities on dual-energy CTMin Lang, Avik Som, Dexter P Mendoza, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networksMatthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, et al.
Radiology. Artificial Intelligence|April 30, 2021
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural NetworksMatthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, et al.
Journal of Intensive Care Medicine|March 30, 2021
Right Ventricular Strain Is Common in Intubated COVID-19 Patients and Does Not Reflect Severity of Respiratory IllnessLauren E Gibson, Raffaele Di Fenza, Min Lang, et al.
Radiology|July 17, 2020
Racial and Ethnic Disparities in Disease Severity on Admission Chest Radiographs among Patients Admitted with Confirmed Coronavirus Disease 2019: A Retrospective Cohort StudyNicholos P Joseph, Nicholas J Reid, Avik Som, et al.
NPJ Digital Medicine|April 8, 2020
Siamese neural networks for continuous disease severity evaluation and change detection in medical imagingMatthew D Li, Ken Chang, Ben Bearce, et al.
Academic Radiology|September 25, 2021
AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial IntelligenceBenjamin Spilseth, Colin D McKnight, Matthew D Li, et al.
Pageof 6

Showing results (41-50 of 60) with videos related to

Sort By:
Pageof 6
Regenerative Medicine|October 2, 2012
Enabling advanced cell therapies (EnACT): invitation to an online forum on resolving barriers to clinical translationTania Bubela, Amir Reshef, Matthew D Li, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance StudyAvik Som, Min Lang, Tristan Yeung, et al.
Academic Radiology|February 16, 2020
Noninterpretive Uses of Artificial Intelligence in RadiologyMichael L Richardson, Elisabeth R Garwood, Yueh Lee, et al.
The Lancet. Infectious Diseases|May 4, 2020
Hypoxaemia related to COVID-19: vascular and perfusion abnormalities on dual-energy CTMin Lang, Avik Som, Dexter P Mendoza, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networksMatthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, et al.
Radiology. Artificial Intelligence|April 30, 2021
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural NetworksMatthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, et al.
Journal of Intensive Care Medicine|March 30, 2021
Right Ventricular Strain Is Common in Intubated COVID-19 Patients and Does Not Reflect Severity of Respiratory IllnessLauren E Gibson, Raffaele Di Fenza, Min Lang, et al.
Radiology|July 17, 2020
Racial and Ethnic Disparities in Disease Severity on Admission Chest Radiographs among Patients Admitted with Confirmed Coronavirus Disease 2019: A Retrospective Cohort StudyNicholos P Joseph, Nicholas J Reid, Avik Som, et al.
NPJ Digital Medicine|April 8, 2020
Siamese neural networks for continuous disease severity evaluation and change detection in medical imagingMatthew D Li, Ken Chang, Ben Bearce, et al.
Academic Radiology|September 25, 2021
AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial IntelligenceBenjamin Spilseth, Colin D McKnight, Matthew D Li, et al.
Pageof 6