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Elizabeth J Sutton

Showing results (1-10 of 64) with videos related to

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Journal of Visualized Experiments : Jove|December 11, 2008
Labeling stem cells with fluorescent dyes for non-invasive detection with optical imagingSophie Boddington, Tobias D Henning, Elizabeth J Sutton, et al.
F1000Prime Reports|August 29, 2014
Advances in managing breast cancer: a clinical updateAyca Gucalp, Gaorav P Gupta, Melissa L Pilewskie, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|July 25, 2007
Tissue harmonic imaging, frequency compound imaging, and conventional imaging: use and benefit in breast sonographyBenoît Mesurolle, Tarek Helou, Mona El-Khoury, et al.
European Radiology|May 29, 2008
Cell tracking with optical imagingElizabeth J Sutton, Tobias D Henning, Bernd J Pichler, et al.
Radiology|November 26, 2015
Multicentric Cancer Detected at Breast MR Imaging and Not at Mammography: Important or Not?Chiara Iacconi, Lanie Galman, Junting Zheng, et al.
Scientific Reports|March 21, 2018
Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility StudyHarini Veeraraghavan, Brittany Z Dashevsky, Natsuko Onishi, et al.
Journal of Breast Imaging|February 15, 2020
Survival Outcomes of Screening with Breast MRI in Women at Elevated Risk of Breast CancerMin Sun Bae, Janice S Sung, Blanca Bernard-Davila, et al.
Journal of Breast Imaging|March 1, 2024
Using Deep Learning to Improve Nonsystematic Viewing of Breast Cancer on MRISarah Eskreis-Winkler, Natsuko Onishi, Katja Pinker, et al.
Frontiers in Oncology|February 22, 2021
Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx ScoreMichelle Zhang, Meredith Sadinski, Dana Haddad, et al.
Radiology. Artificial Intelligence|June 25, 2025
High-Performance Open-Source AI for Breast Cancer Detection and Localization in MRILukas Hirsch, Elizabeth J Sutton, Yu Huang, et al.
Pageof 7

Showing results (1-10 of 64) with videos related to

Sort By:
Pageof 7
Journal of Visualized Experiments : Jove|December 11, 2008
Labeling stem cells with fluorescent dyes for non-invasive detection with optical imagingSophie Boddington, Tobias D Henning, Elizabeth J Sutton, et al.
F1000Prime Reports|August 29, 2014
Advances in managing breast cancer: a clinical updateAyca Gucalp, Gaorav P Gupta, Melissa L Pilewskie, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|July 25, 2007
Tissue harmonic imaging, frequency compound imaging, and conventional imaging: use and benefit in breast sonographyBenoît Mesurolle, Tarek Helou, Mona El-Khoury, et al.
European Radiology|May 29, 2008
Cell tracking with optical imagingElizabeth J Sutton, Tobias D Henning, Bernd J Pichler, et al.
Radiology|November 26, 2015
Multicentric Cancer Detected at Breast MR Imaging and Not at Mammography: Important or Not?Chiara Iacconi, Lanie Galman, Junting Zheng, et al.
Scientific Reports|March 21, 2018
Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility StudyHarini Veeraraghavan, Brittany Z Dashevsky, Natsuko Onishi, et al.
Journal of Breast Imaging|February 15, 2020
Survival Outcomes of Screening with Breast MRI in Women at Elevated Risk of Breast CancerMin Sun Bae, Janice S Sung, Blanca Bernard-Davila, et al.
Journal of Breast Imaging|March 1, 2024
Using Deep Learning to Improve Nonsystematic Viewing of Breast Cancer on MRISarah Eskreis-Winkler, Natsuko Onishi, Katja Pinker, et al.
Frontiers in Oncology|February 22, 2021
Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx ScoreMichelle Zhang, Meredith Sadinski, Dana Haddad, et al.
Radiology. Artificial Intelligence|June 25, 2025
High-Performance Open-Source AI for Breast Cancer Detection and Localization in MRILukas Hirsch, Elizabeth J Sutton, Yu Huang, et al.
Pageof 7