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pro vyhledávání: '"Bunnell A"'
Publikováno v:
Local and Regional Anesthesia, Vol Volume 17, Pp 49-53 (2024)
Natalie R Barnett,1 Amanda M Bunnell,1 Matthew A Dow2 1Department of Anesthesiology and Perioperative Medicine, Medical University of South Carolina, Charleston, SC, USA; 2Department of Orthopaedics and Physical Medicine, Medical University of South
Externí odkaz:
https://doaj.org/article/c382c05a7e2f47d3be75f5bf7de3af7e
Autor:
Bunnell, Arianna, Valdez, Dustin, Strand, Fredrik, Glaser, Yannik, Sadowski, Peter, Shepherd, John A.
Background. Breast cancer screening programs using mammography have led to significant mortality reduction in high-income countries. However, many low- and middle-income countries lack resources for mammographic screening. Handheld breast ultrasound
Externí odkaz:
http://arxiv.org/abs/2411.07322
Autor:
Bunnell, Arianna, Valdez, Dustin, Wolfgruber, Thomas K., Quon, Brandon, Hung, Kailee, Hernandez, Brenda Y., Seto, Todd B., Killeen, Jeffrey, Miyoshi, Marshall, Sadowski, Peter, Shepherd, John A.
Background: Breast density, as derived from mammographic images and defined by the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS), is one of the strongest risk factors for breast cancer. Breast ultrasound (BUS) is
Externí odkaz:
http://arxiv.org/abs/2411.00891
Development of artificial intelligence (AI) for medical imaging demands curation and cleaning of large-scale clinical datasets comprising hundreds of thousands of images. Some modalities, such as mammography, contain highly standardized imaging. In c
Externí odkaz:
http://arxiv.org/abs/2407.11316
Autor:
Bunnell, Arianna, Glaser, Yannik, Valdez, Dustin, Wolfgruber, Thomas, Altamirano, Aleen, González, Carol Zamora, Hernandez, Brenda Y., Sadowski, Peter, Shepherd, John A.
Detecting and classifying lesions in breast ultrasound images is a promising application of artificial intelligence (AI) for reducing the burden of cancer in regions with limited access to mammography. Such AI systems are more likely to be useful in
Externí odkaz:
http://arxiv.org/abs/2407.00267
Autor:
Kuntea, Manali, Chanfóna, Lucía Carballo, Nimbalkara, Surabhi, Bunnell, James, Barajasa, Emanuel Rodriguez, Vazquez, Mario Enrique, Trejo-Rodriguez, David, Faucher, Carter, Smitha, Skelly, Kassegne, Sam
With increasing interest in the use of glassy carbon (GC) for a wide variety of application areas, the need for developing fundamental understanding of its mechanical properties has come to the forefront. Further, recent theoretical and modeling work
Externí odkaz:
http://arxiv.org/abs/2312.02388
Autor:
Park, ChanJin, Soto-Heras, Sandra, Reinacher, Lindsey, Chai, Katie, Zhou, Sherry, Lin, Po-Ching, Oh, Ji-Eun, Bunnell, Mary, Hess, Rex A., de França, Luiz Renato, Ko, CheMyong
Publikováno v:
In Animal Reproduction Science November 2024 270
Publikováno v:
In Political Geography November 2024 115
Autor:
Simonson, Martin A., Bunnell, David B., Madenjian, Charles P., Keeler, Kevin M., Schmitt, Joseph D.
Publikováno v:
In Journal of Great Lakes Research October 2024 50(5)
Autor:
Magri, Zoie, Jetton, David, Muendlein, Hayley I., Connolly, Wilson M., Russell, Hunter, Smirnova, Irina, Sharma, Shruti, Bunnell, Stephen, Poltorak, Alexander
Publikováno v:
In Cell Reports 24 September 2024 43(9)