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Samuel Y Ash

Showing results (1-10 of 54) with videos related to

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Chest|April 10, 2024
Quantitative Imaging and Bronchial Thermoplasty: Technically Impressive But Clinically UncertainSamuel Y Ash
American Journal of Respiratory and Critical Care Medicine|June 15, 2022
Deep Learning-based Classification of Fibrotic Lung Disease: Can Computer Vision See the Future?Bina Choi, Samuel Y Ash
Current Opinion in Pulmonary Medicine|October 25, 2016
The role of imaging in the assessment of severe asthmaSamuel Y Ash, Alejandro A Diaz
The Lancet. Respiratory Medicine|February 2, 2017
Interstitial lung abnormalities: risk and opportunitySamuel Y Ash, George R Washko
The Medical Clinics of North America|July 2, 2013
PneumococcusSamuel Y Ash, John V L Sheffield
American Journal of Respiratory and Critical Care Medicine|April 12, 2018
Reply to Mummadi et al.: Overfitting and Use of Mismatched Cohorts in Deep Learning Models: Preventable Design LimitationsGermán González, Samuel Y Ash, Raúl San José Estépar, et al.
American Journal of Respiratory and Critical Care Medicine|June 26, 2023
Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung AbnormalitySamuel Y Ash, Bina Choi, Andrea Oh, et al.
Radiology|May 17, 2022
Emphysema Progression at CT by Deep Learning Predicts Functional Impairment and Mortality: Results from the COPDGene StudyAndrea S Oh, David Baraghoshi, David A Lynch, et al.
Scientific Reports|January 17, 2020
Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural NetworksDavid Bermejo-Peláez, Samuel Y Ash, George R Washko, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|July 29, 2017
Imaging approaches to understand disease complexity: chronic obstructive pulmonary disease as a clinical modelKarin J C Sanders, Samuel Y Ash, George R Washko, et al.
Pageof 6

Showing results (1-10 of 54) with videos related to

Sort By:
Pageof 6
Chest|April 10, 2024
Quantitative Imaging and Bronchial Thermoplasty: Technically Impressive But Clinically UncertainSamuel Y Ash
American Journal of Respiratory and Critical Care Medicine|June 15, 2022
Deep Learning-based Classification of Fibrotic Lung Disease: Can Computer Vision See the Future?Bina Choi, Samuel Y Ash
Current Opinion in Pulmonary Medicine|October 25, 2016
The role of imaging in the assessment of severe asthmaSamuel Y Ash, Alejandro A Diaz
The Lancet. Respiratory Medicine|February 2, 2017
Interstitial lung abnormalities: risk and opportunitySamuel Y Ash, George R Washko
The Medical Clinics of North America|July 2, 2013
PneumococcusSamuel Y Ash, John V L Sheffield
American Journal of Respiratory and Critical Care Medicine|April 12, 2018
Reply to Mummadi et al.: Overfitting and Use of Mismatched Cohorts in Deep Learning Models: Preventable Design LimitationsGermán González, Samuel Y Ash, Raúl San José Estépar, et al.
American Journal of Respiratory and Critical Care Medicine|June 26, 2023
Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung AbnormalitySamuel Y Ash, Bina Choi, Andrea Oh, et al.
Radiology|May 17, 2022
Emphysema Progression at CT by Deep Learning Predicts Functional Impairment and Mortality: Results from the COPDGene StudyAndrea S Oh, David Baraghoshi, David A Lynch, et al.
Scientific Reports|January 17, 2020
Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural NetworksDavid Bermejo-Peláez, Samuel Y Ash, George R Washko, et al.
Journal of Applied Physiology (Bethesda, Md. : 1985)|July 29, 2017
Imaging approaches to understand disease complexity: chronic obstructive pulmonary disease as a clinical modelKarin J C Sanders, Samuel Y Ash, George R Washko, et al.
Pageof 6