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Medical Physics
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December 20, 2016
A novel physical anthropomorphic breast phantom for 2D and 3D x-ray imaging
Lynda C Ikejimba, Christian G Graff, Shani Rosenthal, et al.
JAMA Network Open
|
August 16, 2021
A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images
Mateusz Buda, Ashirbani Saha, Ruth Walsh, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
February 17, 2026
Utility of the virtual imaging trials methodology for objective characterization of AI systems and training data
Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
February 15, 2008
Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance
Maciej A Mazurowski, Piotr A Habas, Jacek M Zurada, et al.
Medical Image Analysis
|
October 31, 2020
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes
Rachel Lea Draelos, David Dov, Maciej A Mazurowski, et al.
Medical Physics
|
February 26, 2026
Demographic distribution matching between real-world and virtual phantom population
Dhrubajyoti Ghosh, Fakrul Tushar, Lavsen Dahal, et al.
Journal of the American College of Radiology : JACR
|
July 6, 2015
Does Breast Imaging Experience During Residency Translate Into Improved Initial Performance in Digital Breast Tomosynthesis?
Jing Zhang, Lars J Grimm, Joseph Y Lo, et al.
BMC Medical Informatics and Decision Making
|
April 16, 2022
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning
Vincent M D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, et al.
Journal of the American College of Radiology : JACR
|
November 19, 2015
Radiology Trainee Performance in Digital Breast Tomosynthesis: Relationship Between Difficulty and Error-Making Patterns
Lars J Grimm, Jing Zhang, Joseph Y Lo, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
September 24, 2016
Impact of breast structure on lesion detection in breast tomosynthesis, a simulation study
Nooshin Kiarashi, Loren W Nolte, Joseph Y Lo, et al.
Page
of 11
Search research articles
Search
Showing results (51-60 of 106) with videos related to
Sort By:
Page
of 11
Medical Physics
|
December 20, 2016
A novel physical anthropomorphic breast phantom for 2D and 3D x-ray imaging
Lynda C Ikejimba, Christian G Graff, Shani Rosenthal, et al.
JAMA Network Open
|
August 16, 2021
A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images
Mateusz Buda, Ashirbani Saha, Ruth Walsh, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
February 17, 2026
Utility of the virtual imaging trials methodology for objective characterization of AI systems and training data
Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
February 15, 2008
Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance
Maciej A Mazurowski, Piotr A Habas, Jacek M Zurada, et al.
Medical Image Analysis
|
October 31, 2020
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes
Rachel Lea Draelos, David Dov, Maciej A Mazurowski, et al.
Medical Physics
|
February 26, 2026
Demographic distribution matching between real-world and virtual phantom population
Dhrubajyoti Ghosh, Fakrul Tushar, Lavsen Dahal, et al.
Journal of the American College of Radiology : JACR
|
July 6, 2015
Does Breast Imaging Experience During Residency Translate Into Improved Initial Performance in Digital Breast Tomosynthesis?
Jing Zhang, Lars J Grimm, Joseph Y Lo, et al.
BMC Medical Informatics and Decision Making
|
April 16, 2022
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning
Vincent M D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, et al.
Journal of the American College of Radiology : JACR
|
November 19, 2015
Radiology Trainee Performance in Digital Breast Tomosynthesis: Relationship Between Difficulty and Error-Making Patterns
Lars J Grimm, Jing Zhang, Joseph Y Lo, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
September 24, 2016
Impact of breast structure on lesion detection in breast tomosynthesis, a simulation study
Nooshin Kiarashi, Loren W Nolte, Joseph Y Lo, et al.
Page
of 11