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Heber MacMahon

Showing results (51-60 of 102) with videos related to

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Academic Radiology|December 15, 2004
Effect of temporal subtraction images on radiologists' detection of lung cancer on CT: results of the observer performance study with use of film computed tomography imagesHiroyuki Abe, Takayuki Ishida, Junji Shiraishi, et al.
Academic Radiology|March 10, 2009
Subjective similarity of patterns of diffuse interstitial lung disease on thin-section CT: an observer performance studyFeng Li, Seiji Kumazawa, Junji Shiraishi, et al.
Academic Radiology|September 24, 2005
Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scansSamuel G Armato, Geoffrey R Oxnard, Masha Kocherginsky, et al.
European Radiology|January 9, 2019
Correlation of patient survival with clinical tumor measurements in malignant pleural mesotheliomaFeng Li, Mehwish Ahmad, Fawwaz Qayyum, et al.
Academic Radiology|March 16, 2005
Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1)Samuel G Armato, Arunabha S Roy, Heber Macmahon, et al.
Radiology|June 27, 2017
Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner SocietyAlexander A Bankier, Heber MacMahon, Jin Mo Goo, et al.
Medical Physics|June 12, 2004
Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniquesSamuel G Armato, Geoffrey R Oxnard, Heber MacMahon, et al.
AJR. American Journal of Roentgenology|March 24, 2006
Variability in mesothelioma tumor response classificationSamuel G Armato, Joseph L Ogarek, Adam Starkey, et al.
Seminars in Ultrasound, CT, and MR|November 9, 2005
Computer-aided diagnosis in thoracic CTQiang Li, Feng Li, Kenji Suzuki, et al.
Journal of Digital Imaging|July 30, 2021
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest RadiographsFeng Li, Samuel G Armato, Roger Engelmann, et al.
Pageof 11

Showing results (51-60 of 102) with videos related to

Sort By:
Pageof 11
Academic Radiology|December 15, 2004
Effect of temporal subtraction images on radiologists' detection of lung cancer on CT: results of the observer performance study with use of film computed tomography imagesHiroyuki Abe, Takayuki Ishida, Junji Shiraishi, et al.
Academic Radiology|March 10, 2009
Subjective similarity of patterns of diffuse interstitial lung disease on thin-section CT: an observer performance studyFeng Li, Seiji Kumazawa, Junji Shiraishi, et al.
Academic Radiology|September 24, 2005
Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scansSamuel G Armato, Geoffrey R Oxnard, Masha Kocherginsky, et al.
European Radiology|January 9, 2019
Correlation of patient survival with clinical tumor measurements in malignant pleural mesotheliomaFeng Li, Mehwish Ahmad, Fawwaz Qayyum, et al.
Academic Radiology|March 16, 2005
Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1)Samuel G Armato, Arunabha S Roy, Heber Macmahon, et al.
Radiology|June 27, 2017
Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner SocietyAlexander A Bankier, Heber MacMahon, Jin Mo Goo, et al.
Medical Physics|June 12, 2004
Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniquesSamuel G Armato, Geoffrey R Oxnard, Heber MacMahon, et al.
AJR. American Journal of Roentgenology|March 24, 2006
Variability in mesothelioma tumor response classificationSamuel G Armato, Joseph L Ogarek, Adam Starkey, et al.
Seminars in Ultrasound, CT, and MR|November 9, 2005
Computer-aided diagnosis in thoracic CTQiang Li, Feng Li, Kenji Suzuki, et al.
Journal of Digital Imaging|July 30, 2021
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest RadiographsFeng Li, Samuel G Armato, Roger Engelmann, et al.
Pageof 11