Zobrazeno 1 - 10
of 5 514
pro vyhledávání: '"Shepherd, John A"'
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:
Leong, Lambert T., Wong, Michael C., Glaser, Yannik, Wolfgruber, Thomas, Heymsfield, Steven B., Sadowski, Peter, Shepherd, John A.
Fundamental differences between natural and medical images have recently favored the use of self-supervised learning (SSL) over ImageNet transfer learning for medical image applications. Differences between image types are primarily due to the imagin
Externí odkaz:
http://arxiv.org/abs/2206.06663
Autor:
Bennett, Jonathan P., Wong, Michael C., Liu, Yong En, Quon, Brandon K., Kelly, Nisa N., Garber, Andrea K., Heymsfield, Steven B., Shepherd, John A.
Publikováno v:
In Clinical Nutrition October 2024 43(10):2430-2437
Autor:
Bennett, Jonathan P., Cataldi, Devon, Liu, Yong En, Kelly, Nisa N., Quon, Brandon K., Gonzalez, Maria Cristina, Heymsfield, Steven B., Shepherd, John A.
Publikováno v:
In Clinical Nutrition ESPEN October 2024 63:540-550
Autor:
Bennett, Jonathan P., Ford, Katherine L., Siervo, Mario, Gonzalez, Maria Cristina, Lukaski, Henry C., Sawyer, Michael B., Mourtzakis, Marina, Deutz, Nicolaas E.P., Shepherd, John A., Prado, Carla M.
Publikováno v:
In Nutrition September 2024 125
Publikováno v:
In Gondwana Research November 2024 135:208-233
Pressure Field Contact (PFC) was recently introduced as a method for detailed modeling of contact interface regions at rates much faster than elasticity-theory models, while at the same time predicting essential trends and capturing rich contact beha
Externí odkaz:
http://arxiv.org/abs/2110.04157
Publikováno v:
In Journal of Clinical Densitometry April-June 2024 27(2)
Autor:
Sniatynski, Matthew J., Shepherd, John A., Wilkens, Lynne R., Hsu, D. Frank, Kristal, Bruce S.
Publikováno v:
In Patterns 8 March 2024 5(3)