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Medical Physics
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April 3, 2016
A quantitative metrology for performance characterization of five breast tomosynthesis systems based on an anthropomorphic phantom
Lynda Ikejimba, Joseph Y Lo, Yicheng Chen, et al.
Medical Physics
|
May 30, 2003
Application of likelihood ratio to classification of mammographic masses; performance comparison to case-based reasoning
Anna O Bilska-Wolak, Carey E Floyd, Loren W Nolte, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
January 30, 2018
Virtual assessment of stereoscopic viewing of digital breast tomosynthesis projection images
Gezheng Wen, Ho-Chang Chang, Jacob Reinhold, et al.
Medical Physics
|
June 1, 2014
Task-based strategy for optimized contrast enhanced breast imaging: analysis of six imaging techniques for mammography and tomosynthesis
Lynda C Ikejimba, Nooshin Kiarashi, Sujata V Ghate, et al.
Medical Physics
|
May 22, 2008
A mathematical model platform for optimizing a multiprojection breast imaging system
Amarpreet S Chawla, Ehsan Samei, Robert S Saunders, et al.
Plos One
|
February 7, 2024
Classification performance bias between training and test sets in a limited mammography dataset
Rui Hou, Joseph Y Lo, Jeffrey R Marks, et al.
Medical Physics
|
October 27, 2016
Assessing task performance in FFDM, DBT, and synthetic mammography using uniform and anthropomorphic physical phantoms
Lynda C Ikejimba, Stephen J Glick, Kingshuk Roy Choudhury, et al.
Medical Physics
|
June 20, 2008
Dedicated breast computed tomography: volume image denoising via a partial-diffusion equation based technique
Jessie Q Xia, Joseph Y Lo, Kai Yang, et al.
AJR. American Journal of Roentgenology
|
April 24, 2007
Multiprojection correlation imaging for improved detection of pulmonary nodules
Ehsan Samei, Stanton A Stebbins, James T Dobbins, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 3, 2023
Classification performance bias between training and test sets in a limited mammography dataset
Rui Hou, Joseph Y Lo, Jeffrey R Marks, et al.
Page
of 11
Search research articles
Search
Showing results (31-40 of 106) with videos related to
Sort By:
Page
of 11
Medical Physics
|
April 3, 2016
A quantitative metrology for performance characterization of five breast tomosynthesis systems based on an anthropomorphic phantom
Lynda Ikejimba, Joseph Y Lo, Yicheng Chen, et al.
Medical Physics
|
May 30, 2003
Application of likelihood ratio to classification of mammographic masses; performance comparison to case-based reasoning
Anna O Bilska-Wolak, Carey E Floyd, Loren W Nolte, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
January 30, 2018
Virtual assessment of stereoscopic viewing of digital breast tomosynthesis projection images
Gezheng Wen, Ho-Chang Chang, Jacob Reinhold, et al.
Medical Physics
|
June 1, 2014
Task-based strategy for optimized contrast enhanced breast imaging: analysis of six imaging techniques for mammography and tomosynthesis
Lynda C Ikejimba, Nooshin Kiarashi, Sujata V Ghate, et al.
Medical Physics
|
May 22, 2008
A mathematical model platform for optimizing a multiprojection breast imaging system
Amarpreet S Chawla, Ehsan Samei, Robert S Saunders, et al.
Plos One
|
February 7, 2024
Classification performance bias between training and test sets in a limited mammography dataset
Rui Hou, Joseph Y Lo, Jeffrey R Marks, et al.
Medical Physics
|
October 27, 2016
Assessing task performance in FFDM, DBT, and synthetic mammography using uniform and anthropomorphic physical phantoms
Lynda C Ikejimba, Stephen J Glick, Kingshuk Roy Choudhury, et al.
Medical Physics
|
June 20, 2008
Dedicated breast computed tomography: volume image denoising via a partial-diffusion equation based technique
Jessie Q Xia, Joseph Y Lo, Kai Yang, et al.
AJR. American Journal of Roentgenology
|
April 24, 2007
Multiprojection correlation imaging for improved detection of pulmonary nodules
Ehsan Samei, Stanton A Stebbins, James T Dobbins, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 3, 2023
Classification performance bias between training and test sets in a limited mammography dataset
Rui Hou, Joseph Y Lo, Jeffrey R Marks, et al.
Page
of 11