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Lewis D Hahn

Showing results (11-20 of 25) with videos related to

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Radiology. Artificial Intelligence|April 8, 2022
Automated Deep Learning Analysis for Quality Improvement of CT Pulmonary AngiographyLewis D Hahn, Kent Hall, Thamer Alebdi, et al.
Cancers of the Head & Neck|May 17, 2019
Indolent thyroid cancer: knowns and unknownsLewis D Hahn, Christian A Kunder, Michelle M Chen, et al.
Advanced Materials (Deerfield Beach, Fla.)|March 25, 2011
Metal-enhanced fluorescence to quantify bacterial adhesionKangwon Lee, Lewis D Hahn, William W Yuen, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Left Atrial Volume as a Biomarker of Atrial Fibrillation at Routine Chest CT: Deep Learning ApproachAlex Bratt, Zachary Guenther, Lewis D Hahn, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine LearningLewis D Hahn, Gabriel Mistelbauer, Kai Higashigaito, et al.
Radiology. Artificial Intelligence|April 8, 2022
Reader Perceptions and Impact of AI on CT Assessment of Air TrappingTara A Retson, Kyle A Hasenstab, Seth J Kligerman, et al.
Radiology. Cardiothoracic Imaging|July 5, 2023
Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRIEvan M Masutani, Rahul S Chandrupatla, Shuo Wang, et al.
Seminars in Roentgenology|October 20, 2022
Artificial Intelligence Applications in Aortic Dissection ImagingDomenico Mastrodicasa, Marina Codari, Kathrin Bäumler, et al.
The Journal of Thoracic and Cardiovascular Surgery|December 17, 2019
Aortic growth and development of partial false lumen thrombosis are associated with late adverse events in type B aortic dissectionKai Higashigaito, Anna M Sailer, Sander M J van Kuijk, et al.
Journal of the American College of Radiology : JACR|December 28, 2025
Factors Impacting the Performance of Deep Learning Detection of Pulmonary EmboliVera Sorin, Panagiotis Korfiatis, Steve G Langer, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Radiology. Artificial Intelligence|April 8, 2022
Automated Deep Learning Analysis for Quality Improvement of CT Pulmonary AngiographyLewis D Hahn, Kent Hall, Thamer Alebdi, et al.
Cancers of the Head & Neck|May 17, 2019
Indolent thyroid cancer: knowns and unknownsLewis D Hahn, Christian A Kunder, Michelle M Chen, et al.
Advanced Materials (Deerfield Beach, Fla.)|March 25, 2011
Metal-enhanced fluorescence to quantify bacterial adhesionKangwon Lee, Lewis D Hahn, William W Yuen, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Left Atrial Volume as a Biomarker of Atrial Fibrillation at Routine Chest CT: Deep Learning ApproachAlex Bratt, Zachary Guenther, Lewis D Hahn, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine LearningLewis D Hahn, Gabriel Mistelbauer, Kai Higashigaito, et al.
Radiology. Artificial Intelligence|April 8, 2022
Reader Perceptions and Impact of AI on CT Assessment of Air TrappingTara A Retson, Kyle A Hasenstab, Seth J Kligerman, et al.
Radiology. Cardiothoracic Imaging|July 5, 2023
Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRIEvan M Masutani, Rahul S Chandrupatla, Shuo Wang, et al.
Seminars in Roentgenology|October 20, 2022
Artificial Intelligence Applications in Aortic Dissection ImagingDomenico Mastrodicasa, Marina Codari, Kathrin Bäumler, et al.
The Journal of Thoracic and Cardiovascular Surgery|December 17, 2019
Aortic growth and development of partial false lumen thrombosis are associated with late adverse events in type B aortic dissectionKai Higashigaito, Anna M Sailer, Sander M J van Kuijk, et al.
Journal of the American College of Radiology : JACR|December 28, 2025
Factors Impacting the Performance of Deep Learning Detection of Pulmonary EmboliVera Sorin, Panagiotis Korfiatis, Steve G Langer, et al.
Pageof 3