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Heber MacMahon

Showing results (41-50 of 102) with videos related to

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Journal of the American College of Radiology : JACR|May 12, 2018
The Value of a Disease-Specific Template and an IT-Based Quality Tracking System in Pulmonary Embolism CT AngiographyJonathan H Chung, Luis Landeras, Kateland Haas, et al.
Medical Physics|June 7, 2006
Temporal subtraction in chest radiography: automated assessment of registration accuracySamuel G Armato, Devang J Doshi, Roger Engelmann, et al.
Radiology|December 4, 2002
Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findingsFeng Li, Shusuke Sone, Hiroyuki Abe, et al.
Academic Radiology|July 18, 2006
Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CTFeng Li, Qiang Li, Roger Engelmann, et al.
Radiology|September 28, 2011
Small lung cancers: improved detection by use of bone suppression imaging--comparison with dual-energy subtraction chest radiographyFeng Li, Roger Engelmann, Lorenzo L Pesce, et al.
AJR. American Journal of Roentgenology|December 13, 2017
Screening for Lung Cancer: Incidental Pulmonary Parenchymal FindingsJonathan H Chung, J Caleb Richards, Tilman L Koelsch, et al.
Radiology|December 4, 2002
Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening programSamuel G Armato, Feng Li, Maryellen L Giger, et al.
AJR. American Journal of Roentgenology|October 22, 2009
Performance of radiologists in detection of small pulmonary nodules on chest radiographs: effect of rib suppression with a massive-training artificial neural networkSeitaro Oda, Kazuo Awai, Kenji Suzuki, et al.
Radiology|January 16, 2008
Fleischner Society: glossary of terms for thoracic imagingDavid M Hansell, Alexander A Bankier, Heber MacMahon, et al.
Academic Radiology|January 30, 2004
Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical casesHiroyuki Abe, Kazuto Ashizawa, Feng Li, et al.
Pageof 11

Showing results (41-50 of 102) with videos related to

Sort By:
Pageof 11
Journal of the American College of Radiology : JACR|May 12, 2018
The Value of a Disease-Specific Template and an IT-Based Quality Tracking System in Pulmonary Embolism CT AngiographyJonathan H Chung, Luis Landeras, Kateland Haas, et al.
Medical Physics|June 7, 2006
Temporal subtraction in chest radiography: automated assessment of registration accuracySamuel G Armato, Devang J Doshi, Roger Engelmann, et al.
Radiology|December 4, 2002
Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findingsFeng Li, Shusuke Sone, Hiroyuki Abe, et al.
Academic Radiology|July 18, 2006
Improving radiologists' recommendations with computer-aided diagnosis for management of small nodules detected by CTFeng Li, Qiang Li, Roger Engelmann, et al.
Radiology|September 28, 2011
Small lung cancers: improved detection by use of bone suppression imaging--comparison with dual-energy subtraction chest radiographyFeng Li, Roger Engelmann, Lorenzo L Pesce, et al.
AJR. American Journal of Roentgenology|December 13, 2017
Screening for Lung Cancer: Incidental Pulmonary Parenchymal FindingsJonathan H Chung, J Caleb Richards, Tilman L Koelsch, et al.
Radiology|December 4, 2002
Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening programSamuel G Armato, Feng Li, Maryellen L Giger, et al.
AJR. American Journal of Roentgenology|October 22, 2009
Performance of radiologists in detection of small pulmonary nodules on chest radiographs: effect of rib suppression with a massive-training artificial neural networkSeitaro Oda, Kazuo Awai, Kenji Suzuki, et al.
Radiology|January 16, 2008
Fleischner Society: glossary of terms for thoracic imagingDavid M Hansell, Alexander A Bankier, Heber MacMahon, et al.
Academic Radiology|January 30, 2004
Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical casesHiroyuki Abe, Kazuto Ashizawa, Feng Li, et al.
Pageof 11