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Heber Macmahon

Showing results (41-50 of 87) with videos related to

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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.
Medical Physics|August 10, 2013
Variability of tumor area measurements for response assessment in malignant pleural mesotheliomaZacariah E Labby, Christopher Straus, Philip Caligiuri, et al.
Academic Radiology|June 24, 2008
An investigation of radiologists' perception of lesion similarity: observations with paired breast masses on mammograms and paired lung nodules on CT imagesSeiji Kumazawa, Chisako Muramatsu, Qiang Li, et al.
Pageof 9

Showing results (41-50 of 87) with videos related to

Sort By:
Pageof 9
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.
Medical Physics|August 10, 2013
Variability of tumor area measurements for response assessment in malignant pleural mesotheliomaZacariah E Labby, Christopher Straus, Philip Caligiuri, et al.
Academic Radiology|June 24, 2008
An investigation of radiologists' perception of lesion similarity: observations with paired breast masses on mammograms and paired lung nodules on CT imagesSeiji Kumazawa, Chisako Muramatsu, Qiang Li, et al.
Pageof 9