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Jordan H Chamberlin

Showing results (21-30 of 26) with videos related to

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Emergency Radiology|January 15, 2024
Enhancing diagnostic precision for acute chest syndrome in sickle cell disease: insights from dual-energy CT lung perfusion mappingJordan H Chamberlin, Alexis Ogbonna, Sameer Abrol, et al.
Academic Radiology|October 2, 2021
Multi-Center Follow-up Study to Develop a Classification System Which Differentiates Mucinous Cystic Neoplasm of the Liver and Benign Hepatic Cyst Using Machine LearningAndrew D Hardie, Jordan H Chamberlin, James H Boyum, et al.
Clinical Imaging|October 20, 2023
Ultra-high-resolution photon-counting detector computed tomography of the lungs: Phantom and clinical assessment of radiation dose and image qualityJordan H Chamberlin, Carter D Smith, Dhruw Maisuria, et al.
Academic Radiology|May 24, 2022
An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and MortalityJordan H Chamberlin, Gilberto Aquino, Uwe Joseph Schoepf, et al.
The International Journal of Cardiovascular Imaging|May 6, 2023
Quantitative myocardial T2 mapping adds value to Japanese circulation society diagnostic criteria for active cardiac sarcoidosisJordan H Chamberlin, Madison R Kocher, Gilberto Aquino, et al.
BMC Infectious Diseases|July 21, 2022
Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learningJordan H Chamberlin, Gilberto Aquino, Sophia Nance, et al.
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Showing results (21-30 of 26) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 26 results.
Emergency Radiology|January 15, 2024
Enhancing diagnostic precision for acute chest syndrome in sickle cell disease: insights from dual-energy CT lung perfusion mappingJordan H Chamberlin, Alexis Ogbonna, Sameer Abrol, et al.
Academic Radiology|October 2, 2021
Multi-Center Follow-up Study to Develop a Classification System Which Differentiates Mucinous Cystic Neoplasm of the Liver and Benign Hepatic Cyst Using Machine LearningAndrew D Hardie, Jordan H Chamberlin, James H Boyum, et al.
Clinical Imaging|October 20, 2023
Ultra-high-resolution photon-counting detector computed tomography of the lungs: Phantom and clinical assessment of radiation dose and image qualityJordan H Chamberlin, Carter D Smith, Dhruw Maisuria, et al.
Academic Radiology|May 24, 2022
An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and MortalityJordan H Chamberlin, Gilberto Aquino, Uwe Joseph Schoepf, et al.
The International Journal of Cardiovascular Imaging|May 6, 2023
Quantitative myocardial T2 mapping adds value to Japanese circulation society diagnostic criteria for active cardiac sarcoidosisJordan H Chamberlin, Madison R Kocher, Gilberto Aquino, et al.
BMC Infectious Diseases|July 21, 2022
Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learningJordan H Chamberlin, Gilberto Aquino, Sophia Nance, et al.
Pageof 3