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Heber MacMahon

Showing results (31-40 of 102) with videos related to

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European Radiology|July 6, 2012
Improved detection of focal pneumonia by chest radiography with bone suppression imagingFeng Li, Roger Engelmann, Lorenzo Pesce, et al.
Radiology|December 22, 2007
Lung cancers missed on chest radiographs: results obtained with a commercial computer-aided detection programFeng Li, Roger Engelmann, Charles E Metz, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|February 7, 2008
Breast lesions incidentally detected with CT: what the general radiologist needs to knowMonica G Harish, Sheela D Konda, Heber MacMahon, et al.
Medical Physics|July 29, 2006
Temporal subtraction of dual-energy chest radiographsSamuel G Armato, Devang J Doshi, Roger Engelmann, et al.
Radiology|May 7, 2003
Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experienceJunji Shiraishi, Hiroyuki Abe, Roger Engelmann, et al.
Seminars in Ultrasound, CT, and MR|November 24, 2004
Computer-aided diagnosis in chest radiologyHiroyuki Abe, Heber Macmahon, Junji Shiraishi, et al.
Radiology|April 4, 2002
Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction techniqueShunji Tsukuda, Atsuko Heshiki, Shigehiko Katsuragawa, et al.
Academic Radiology|July 18, 2006
Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performanceJunji Shiraishi, Hiroyuki Abe, Feng Li, et al.
AJR. American Journal of Roentgenology|April 23, 2011
Improved detection of subtle lung nodules by use of chest radiographs with bone suppression imaging: receiver operating characteristic analysis with and without localizationFeng Li, Takeshi Hara, Junji Shiraishi, et al.
Medical Physics|January 26, 2010
Temporal subtraction in chest radiography: mutual information as a measure of image qualitySamuel G Armato, William F Sensakovic, Samantha J Passen, et al.
Pageof 11

Showing results (31-40 of 102) with videos related to

Sort By:
Pageof 11
European Radiology|July 6, 2012
Improved detection of focal pneumonia by chest radiography with bone suppression imagingFeng Li, Roger Engelmann, Lorenzo Pesce, et al.
Radiology|December 22, 2007
Lung cancers missed on chest radiographs: results obtained with a commercial computer-aided detection programFeng Li, Roger Engelmann, Charles E Metz, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|February 7, 2008
Breast lesions incidentally detected with CT: what the general radiologist needs to knowMonica G Harish, Sheela D Konda, Heber MacMahon, et al.
Medical Physics|July 29, 2006
Temporal subtraction of dual-energy chest radiographsSamuel G Armato, Devang J Doshi, Roger Engelmann, et al.
Radiology|May 7, 2003
Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experienceJunji Shiraishi, Hiroyuki Abe, Roger Engelmann, et al.
Seminars in Ultrasound, CT, and MR|November 24, 2004
Computer-aided diagnosis in chest radiologyHiroyuki Abe, Heber Macmahon, Junji Shiraishi, et al.
Radiology|April 4, 2002
Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction techniqueShunji Tsukuda, Atsuko Heshiki, Shigehiko Katsuragawa, et al.
Academic Radiology|July 18, 2006
Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performanceJunji Shiraishi, Hiroyuki Abe, Feng Li, et al.
AJR. American Journal of Roentgenology|April 23, 2011
Improved detection of subtle lung nodules by use of chest radiographs with bone suppression imaging: receiver operating characteristic analysis with and without localizationFeng Li, Takeshi Hara, Junji Shiraishi, et al.
Medical Physics|January 26, 2010
Temporal subtraction in chest radiography: mutual information as a measure of image qualitySamuel G Armato, William F Sensakovic, Samantha J Passen, et al.
Pageof 11