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C Elton

Showing results (41-50 of 78) with videos related to

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Journal of Cancer Education : the Official Journal of the American Association for Cancer Education|February 3, 2025
Head and Neck Cancer Research Training Program Associated with Academic Success for TraineesAanish Puri, Andrew C Elton, Beverly R Wuertz, et al.
Medical Physics|February 14, 2022
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scansDaniel C Elton, Evrim B Turkbey, Perry J Pickhardt, et al.
International Journal of Molecular Sciences|July 26, 2020
Exclusion Zone Phenomena in Water-A Critical Review of Experimental Findings and TheoriesDaniel C Elton, Peter D Spencer, James D Riches, et al.
Diseases of the Esophagus : Official Journal of the International Society for Diseases of the Esophagus|November 7, 2003
Pharyngogastric colonic interposition for total oesophageal occlusion in epidermolysis bullosaC Elton, R E Marshall, J Hibbert, et al.
American Journal of Otolaryngology|August 18, 2022
Observations of increased gastroesophageal reflux symptomology in an anhydrous ammonia exposed populationAndrew C Elton, Erik P Severson, Frank G Ondrey, et al.
Abdominal Radiology (New York)|October 31, 2023
Longitudinal follow-up of incidental renal calculi on computed tomographyPritam Mukherjee, Sungwon Lee, Daniel C Elton, et al.
The British Journal of Surgery|June 3, 2005
Accuracy of computed tomography in the detection of blunt bowel and mesenteric injuriesC Elton, A A Riaz, N Young, et al.
Injury|September 5, 2002
Intra-abdominal gastrointestinal tract injuries following blunt trauma: the experience of an Australian trauma centreT M D Hughes, C Elton, K Hitos, et al.
Abdominal Radiology (New York)|September 19, 2020
Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrastAlberto A Perez, Perry J Pickhardt, Daniel C Elton, et al.
Scientific Reports|June 15, 2018
Applying machine learning techniques to predict the properties of energetic materialsDaniel C Elton, Zois Boukouvalas, Mark S Butrico, et al.
Pageof 8

Showing results (41-50 of 78) with videos related to

Sort By:
Pageof 8
Journal of Cancer Education : the Official Journal of the American Association for Cancer Education|February 3, 2025
Head and Neck Cancer Research Training Program Associated with Academic Success for TraineesAanish Puri, Andrew C Elton, Beverly R Wuertz, et al.
Medical Physics|February 14, 2022
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scansDaniel C Elton, Evrim B Turkbey, Perry J Pickhardt, et al.
International Journal of Molecular Sciences|July 26, 2020
Exclusion Zone Phenomena in Water-A Critical Review of Experimental Findings and TheoriesDaniel C Elton, Peter D Spencer, James D Riches, et al.
Diseases of the Esophagus : Official Journal of the International Society for Diseases of the Esophagus|November 7, 2003
Pharyngogastric colonic interposition for total oesophageal occlusion in epidermolysis bullosaC Elton, R E Marshall, J Hibbert, et al.
American Journal of Otolaryngology|August 18, 2022
Observations of increased gastroesophageal reflux symptomology in an anhydrous ammonia exposed populationAndrew C Elton, Erik P Severson, Frank G Ondrey, et al.
Abdominal Radiology (New York)|October 31, 2023
Longitudinal follow-up of incidental renal calculi on computed tomographyPritam Mukherjee, Sungwon Lee, Daniel C Elton, et al.
The British Journal of Surgery|June 3, 2005
Accuracy of computed tomography in the detection of blunt bowel and mesenteric injuriesC Elton, A A Riaz, N Young, et al.
Injury|September 5, 2002
Intra-abdominal gastrointestinal tract injuries following blunt trauma: the experience of an Australian trauma centreT M D Hughes, C Elton, K Hitos, et al.
Abdominal Radiology (New York)|September 19, 2020
Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrastAlberto A Perez, Perry J Pickhardt, Daniel C Elton, et al.
Scientific Reports|June 15, 2018
Applying machine learning techniques to predict the properties of energetic materialsDaniel C Elton, Zois Boukouvalas, Mark S Butrico, et al.
Pageof 8