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Academic Radiology
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January 17, 2015
Computer-aided nodule detection system: results in an unselected series of consecutive chest radiographs
Feng Li, Roger Engelmann, Samuel G Armato, et al.
Journal of the American College of Radiology : JACR
|
November 4, 2023
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging
Daniel Vergara, Samuel G Armato, Lubomir Hadjiiski, et al.
Chest
|
April 15, 2019
Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists
Heber MacMahon, Feng Li, Yulei Jiang, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
February 5, 2020
Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion
Eyjolfur Gudmundsson, Christopher M Straus, Feng Li, et al.
Medical Physics
|
October 7, 2006
Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sections
William F Sensakovic, Samuel G Armato, Adam Starkey, et al.
Medical Physics
|
April 4, 2003
Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm
Samuel G Armato, Michael B Altman, Patrick J La Rivière
Breast Cancer Research and Treatment
|
August 10, 2016
Clinical significance of noncalcified lung nodules in patients with breast cancer
Feng Li, Samuel G Armato, Maryellen L Giger, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
March 3, 2020
Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis
Joseph J Foy, Samuel G Armato, Hania A Al-Hallaq
Medical Physics
|
May 16, 2006
Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index
Arunabha S Roy, Samuel G Armato, Andrew Wilson, et al.
European Radiology
|
July 6, 2012
Improved detection of focal pneumonia by chest radiography with bone suppression imaging
Feng Li, Roger Engelmann, Lorenzo Pesce, et al.
Page
of 14
Search research articles
Search
Showing results (21-30 of 133) with videos related to
Sort By:
Page
of 14
Academic Radiology
|
January 17, 2015
Computer-aided nodule detection system: results in an unselected series of consecutive chest radiographs
Feng Li, Roger Engelmann, Samuel G Armato, et al.
Journal of the American College of Radiology : JACR
|
November 4, 2023
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging
Daniel Vergara, Samuel G Armato, Lubomir Hadjiiski, et al.
Chest
|
April 15, 2019
Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists
Heber MacMahon, Feng Li, Yulei Jiang, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
February 5, 2020
Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion
Eyjolfur Gudmundsson, Christopher M Straus, Feng Li, et al.
Medical Physics
|
October 7, 2006
Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sections
William F Sensakovic, Samuel G Armato, Adam Starkey, et al.
Medical Physics
|
April 4, 2003
Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm
Samuel G Armato, Michael B Altman, Patrick J La Rivière
Breast Cancer Research and Treatment
|
August 10, 2016
Clinical significance of noncalcified lung nodules in patients with breast cancer
Feng Li, Samuel G Armato, Maryellen L Giger, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
March 3, 2020
Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis
Joseph J Foy, Samuel G Armato, Hania A Al-Hallaq
Medical Physics
|
May 16, 2006
Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index
Arunabha S Roy, Samuel G Armato, Andrew Wilson, et al.
European Radiology
|
July 6, 2012
Improved detection of focal pneumonia by chest radiography with bone suppression imaging
Feng Li, Roger Engelmann, Lorenzo Pesce, et al.
Page
of 14