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Journal of Medical Imaging (Bellingham, Wash.)
|
February 13, 2016
Teaching search patterns to medical trainees in an educational laboratory to improve perception of pulmonary nodules
William F Auffermann, Brent P Little, Srini Tridandapani
Journal of the American College of Radiology : JACR
|
October 9, 2016
The Dubious Value of Coronary Calcium Scoring on Lung Cancer Screening CT
Adam Bernheim, William F Auffermann, Arthur E Stillman
Neuroimage
|
October 16, 2002
Cluster significance testing using the bootstrap
William F Auffermann, Shing-Chung Ngan, Xiaoping Hu
AJR. American Journal of Roentgenology
|
February 20, 2019
Artificial Intelligence in Cardiothoracic Radiology
William F Auffermann, Elliott K Gozansky, Srini Tridandapani
Journal of Medical Imaging (Bellingham, Wash.)
|
April 28, 2025
Using a limited field of view to improve training for pulmonary nodule detection on radiographs
Samual K Zenger, Rishabh Agarwal, William F Auffermann
Journal of Medical Imaging (Bellingham, Wash.)
|
September 26, 2025
Gamification for emergency radiology education and image perception: stab the diagnosis
William F Auffermann, Nathan Barber, Ryan Stockard, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
June 16, 2023
Taking a second look and zooming out: does this help with abnormality detection in chest radiography?
Grace G Zhu, Theresa Pham, Soham Banerjee, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
January 7, 2020
Perceptual training: learning versus attentional shift
Soham Banerjee, Trafton Drew, Megan K Mills, et al.
Artificial Intelligence in Medicine
|
May 16, 2002
Node merging in Kohonen's self-organizing mapping of fMRI data
Shing Chung Ngan, Essa S Yacoub, William F Auffermann, et al.
Emergency Radiology
|
April 21, 2022
Incidence of pulmonary embolism in COVID-19 infection in the ED: ancestral, Delta, Omicron variants and vaccines
Nicole Law, Jessica Chan, Christopher Kelly, et al.
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Search research articles
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Showing results (11-20 of 40) with videos related to
Sort By:
Page
of 4
Journal of Medical Imaging (Bellingham, Wash.)
|
February 13, 2016
Teaching search patterns to medical trainees in an educational laboratory to improve perception of pulmonary nodules
William F Auffermann, Brent P Little, Srini Tridandapani
Journal of the American College of Radiology : JACR
|
October 9, 2016
The Dubious Value of Coronary Calcium Scoring on Lung Cancer Screening CT
Adam Bernheim, William F Auffermann, Arthur E Stillman
Neuroimage
|
October 16, 2002
Cluster significance testing using the bootstrap
William F Auffermann, Shing-Chung Ngan, Xiaoping Hu
AJR. American Journal of Roentgenology
|
February 20, 2019
Artificial Intelligence in Cardiothoracic Radiology
William F Auffermann, Elliott K Gozansky, Srini Tridandapani
Journal of Medical Imaging (Bellingham, Wash.)
|
April 28, 2025
Using a limited field of view to improve training for pulmonary nodule detection on radiographs
Samual K Zenger, Rishabh Agarwal, William F Auffermann
Journal of Medical Imaging (Bellingham, Wash.)
|
September 26, 2025
Gamification for emergency radiology education and image perception: stab the diagnosis
William F Auffermann, Nathan Barber, Ryan Stockard, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
June 16, 2023
Taking a second look and zooming out: does this help with abnormality detection in chest radiography?
Grace G Zhu, Theresa Pham, Soham Banerjee, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
January 7, 2020
Perceptual training: learning versus attentional shift
Soham Banerjee, Trafton Drew, Megan K Mills, et al.
Artificial Intelligence in Medicine
|
May 16, 2002
Node merging in Kohonen's self-organizing mapping of fMRI data
Shing Chung Ngan, Essa S Yacoub, William F Auffermann, et al.
Emergency Radiology
|
April 21, 2022
Incidence of pulmonary embolism in COVID-19 infection in the ED: ancestral, Delta, Omicron variants and vaccines
Nicole Law, Jessica Chan, Christopher Kelly, et al.
Page
of 4