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K Kalra

Showing results (401-410 of 514) with videos related to

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European Journal of Radiology|October 5, 2019
Deep learning-enabled system for rapid pneumothorax screening on chest CTXiang Li, James H Thrall, Subba R Digumarthy, et al.
The American Journal of Emergency Medicine|November 16, 2017
Implications of iodinated contrast media extravasation in the emergency departmentJonathan D Sonis, Ravi V Gottumukkala, McKinley Glover, et al.
Clinical Imaging|June 5, 2024
No code machine learning: validating the approach on use-case for classifying clavicle fracturesGiridhar Dasegowda, James Yuichi Sato, Daniel C Elton, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI AlgorithmGiridhar Dasegowda, Bernardo C Bizzo, Parisa Kaviani, et al.
Current Cardiology Reports|March 14, 2026
Global Burden of Cardiovascular Disease: What Should Be Expected in the Next 25 Years?Unaiza Naeem, Salil Deo, Amirhossein Sahebkar, et al.
Plos One|April 29, 2022
Validation pipeline for machine learning algorithm assessment for multiple vendorsBernardo C Bizzo, Shadi Ebrahimian, Mark E Walters, et al.
Radiology|February 19, 2011
Characterization of adrenal masses by using FDG PET: a systematic review and meta-analysis of diagnostic test performanceGiles W L Boland, Ben A Dwamena, Minal Jagtiani Sangwaiya, et al.
Radiology|May 17, 2003
Can noise reduction filters improve low-radiation-dose chest CT images? Pilot studyMannudeep K Kalra, Conrad Wittram, Michael M Maher, et al.
Radiology|July 2, 2003
Low-dose CT of the abdomen: evaluation of image improvement with use of noise reduction filters pilot studyMannudeep K Kalra, Michael M Maher, Dushyant V Sahani, et al.
Annals of Internal Medicine|April 21, 2004
D-dimer for the exclusion of acute venous thrombosis and pulmonary embolism: a systematic reviewPaul D Stein, Russell D Hull, Kalpesh C Patel, et al.
Pageof 52

Showing results (401-410 of 514) with videos related to

Sort By:
Pageof 52
European Journal of Radiology|October 5, 2019
Deep learning-enabled system for rapid pneumothorax screening on chest CTXiang Li, James H Thrall, Subba R Digumarthy, et al.
The American Journal of Emergency Medicine|November 16, 2017
Implications of iodinated contrast media extravasation in the emergency departmentJonathan D Sonis, Ravi V Gottumukkala, McKinley Glover, et al.
Clinical Imaging|June 5, 2024
No code machine learning: validating the approach on use-case for classifying clavicle fracturesGiridhar Dasegowda, James Yuichi Sato, Daniel C Elton, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI AlgorithmGiridhar Dasegowda, Bernardo C Bizzo, Parisa Kaviani, et al.
Current Cardiology Reports|March 14, 2026
Global Burden of Cardiovascular Disease: What Should Be Expected in the Next 25 Years?Unaiza Naeem, Salil Deo, Amirhossein Sahebkar, et al.
Plos One|April 29, 2022
Validation pipeline for machine learning algorithm assessment for multiple vendorsBernardo C Bizzo, Shadi Ebrahimian, Mark E Walters, et al.
Radiology|February 19, 2011
Characterization of adrenal masses by using FDG PET: a systematic review and meta-analysis of diagnostic test performanceGiles W L Boland, Ben A Dwamena, Minal Jagtiani Sangwaiya, et al.
Radiology|May 17, 2003
Can noise reduction filters improve low-radiation-dose chest CT images? Pilot studyMannudeep K Kalra, Conrad Wittram, Michael M Maher, et al.
Radiology|July 2, 2003
Low-dose CT of the abdomen: evaluation of image improvement with use of noise reduction filters pilot studyMannudeep K Kalra, Michael M Maher, Dushyant V Sahani, et al.
Annals of Internal Medicine|April 21, 2004
D-dimer for the exclusion of acute venous thrombosis and pulmonary embolism: a systematic reviewPaul D Stein, Russell D Hull, Kalpesh C Patel, et al.
Pageof 52