Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Emily F Conant

Showing results (31-40 of 154) with videos related to

Pageof 16
Sort By:
Annals of Epidemiology|March 5, 2013
Potentially missed detection with screening mammography: does the quality of radiologist's interpretation vary by patient socioeconomic advantage/disadvantage?Garth H Rauscher, Jenna A Khan, Michael L Berbaum, et al.
Breast Cancer Research : BCR|August 26, 2015
Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case-control study with digital mammographyBrad M Keller, Jinbo Chen, Dania Daye, et al.
Journal of Breast Imaging|March 1, 2024
How to Write a Scientific Abstract for Symposium Submission†Dianne Georgian-Smith, Jessica Leung, John Lewin, et al.
Radiology|November 5, 2003
Evaluation of proscriptive health care policy implementation in screening mammographyCraig A Beam, Emily F Conant, Edward A Sickles, et al.
BMC Cancer|April 30, 2013
Mammogram image quality as a potential contributor to disparities in breast cancer stage at diagnosis: an observational studyGarth H Rauscher, Emily F Conant, Jenna A Khan, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|October 8, 2016
Strategies to Increase Cancer Detection: Review of True-Positive and False-Negative Results at Digital Breast Tomosynthesis ScreeningKatrina E Korhonen, Susan P Weinstein, Elizabeth S McDonald, et al.
Breast Cancer Research : BCR|February 21, 2022
Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative reviewAimilia Gastounioti, Shyam Desai, Vinayak S Ahluwalia, et al.
Plastic and Reconstructive Surgery|August 1, 2009
Autologous fat grafting to the reconstructed breast: the management of acquired contour deformitiesSuhail K Kanchwala, Brian S Glatt, Emily F Conant, et al.
European Radiology|August 12, 2023
Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesisBruno Barufaldi, Raymond J Acciavatti, Emily F Conant, et al.
AJR. American Journal of Roentgenology|January 12, 2022
Artificial Intelligence (AI) for Screening Mammography, From the <i>AJR</i> Special Series on AI ApplicationsLeslie R Lamb, Constance D Lehman, Aimilia Gastounioti, et al.
Pageof 16

Showing results (31-40 of 154) with videos related to

Sort By:
Pageof 16
Annals of Epidemiology|March 5, 2013
Potentially missed detection with screening mammography: does the quality of radiologist's interpretation vary by patient socioeconomic advantage/disadvantage?Garth H Rauscher, Jenna A Khan, Michael L Berbaum, et al.
Breast Cancer Research : BCR|August 26, 2015
Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case-control study with digital mammographyBrad M Keller, Jinbo Chen, Dania Daye, et al.
Journal of Breast Imaging|March 1, 2024
How to Write a Scientific Abstract for Symposium Submission†Dianne Georgian-Smith, Jessica Leung, John Lewin, et al.
Radiology|November 5, 2003
Evaluation of proscriptive health care policy implementation in screening mammographyCraig A Beam, Emily F Conant, Edward A Sickles, et al.
BMC Cancer|April 30, 2013
Mammogram image quality as a potential contributor to disparities in breast cancer stage at diagnosis: an observational studyGarth H Rauscher, Emily F Conant, Jenna A Khan, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|October 8, 2016
Strategies to Increase Cancer Detection: Review of True-Positive and False-Negative Results at Digital Breast Tomosynthesis ScreeningKatrina E Korhonen, Susan P Weinstein, Elizabeth S McDonald, et al.
Breast Cancer Research : BCR|February 21, 2022
Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative reviewAimilia Gastounioti, Shyam Desai, Vinayak S Ahluwalia, et al.
Plastic and Reconstructive Surgery|August 1, 2009
Autologous fat grafting to the reconstructed breast: the management of acquired contour deformitiesSuhail K Kanchwala, Brian S Glatt, Emily F Conant, et al.
European Radiology|August 12, 2023
Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesisBruno Barufaldi, Raymond J Acciavatti, Emily F Conant, et al.
AJR. American Journal of Roentgenology|January 12, 2022
Artificial Intelligence (AI) for Screening Mammography, From the <i>AJR</i> Special Series on AI ApplicationsLeslie R Lamb, Constance D Lehman, Aimilia Gastounioti, et al.
Pageof 16