Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Andriole, Katherine P"'
Autor:
Clunie, David A., Flanders, Adam, Taylor, Adam, Erickson, Brad, Bialecki, Brian, Brundage, David, Gutman, David, Prior, Fred, Seibert, J Anthony, Perry, John, Gichoya, Judy Wawira, Kirby, Justin, Andriole, Katherine, Geneslaw, Luke, Moore, Steve, Fitzgerald, TJ, Tellis, Wyatt, Xiao, Ying, Farahani, Keyvan
This report addresses the technical aspects of de-identification of medical images of human subjects and biospecimens, such that re-identification risk of ethical, moral, and legal concern is sufficiently reduced to allow unrestricted public sharing
Externí odkaz:
http://arxiv.org/abs/2303.10473
Autor:
Eltorai, Adam E.M., Parris, Dominick J., Tarrant, Mary Jo, Mayo-Smith, William W., Andriole, Katherine P.
Publikováno v:
In Clinical Imaging November 2024 115
Autor:
Eltorai, Adam E.M., McKinney, Suzannah E., Rockenbach, Marcio A.B.C., Karuppiah, Saby, Bizzo, Bernardo C., Andriole, Katherine P.
Publikováno v:
In Clinical Imaging August 2024 112
Autor:
Liu, David S., Mazurek, Mercy H., Whitehead, David C., Hood, Michael C., Choi, Peter, Gupte, Anu, Ottensmeyer, Mark P., Fintelmann, Florian J., Uppot, Raul N., Andriole, Katherine P., Gee, Michael S., Brink, James A., Succi, Marc D.
Publikováno v:
In Academic Radiology February 2024 31(2):417-425
Autor:
Ghatak, Ankita, Hillis, James M., Mercaldo, Sarah F., Newbury-Chaet, Isabella, Chin, John K., Digumarthy, Subba R., Rodriguez, Karen, Muse, Victorine V., Andriole, Katherine P., Dreyer, Keith J., Kalra, Mannudeep K., Bizzo, Bernardo C.
Publikováno v:
In Journal of the American College of Radiology
Autor:
Biondetti, Giorgio Pietro, Gauriau, Romane, Bridge, Christopher P., Lu, Charles, Andriole, Katherine P.
As interest in applying machine learning techniques for medical images continues to grow at a rapid pace, models are starting to be developed and deployed for clinical applications. In the clinical AI model development lifecycle (described by Lu et a
Externí odkaz:
http://arxiv.org/abs/2008.08525
Autor:
Lu, Charles, Strout, Julia, Gauriau, Romane, Wright, Brad, Marcruz, Fabiola Bezerra De Carvalho, Buch, Varun, Andriole, Katherine
Healthcare is one of the most promising areas for machine learning models to make a positive impact. However, successful adoption of AI-based systems in healthcare depends on engaging and educating stakeholders from diverse backgrounds about the deve
Externí odkaz:
http://arxiv.org/abs/2003.07678
Autor:
Deshmukh, Neil, Gumustop, Selin, Gauriau, Romane, Buch, Varun, Wright, Bradley, Bridge, Christopher, Naidu, Ram, Andriole, Katherine, Bizzo, Bernardo
Although machine learning has become a powerful tool to augment doctors in clinical analysis, the immense amount of labeled data that is necessary to train supervised learning approaches burdens each development task as time and resource intensive. T
Externí odkaz:
http://arxiv.org/abs/1910.13573
Autor:
Lu, Jen-Tang, Brooks, Rupert, Hahn, Stefan, Chen, Jin, Buch, Varun, Kotecha, Gopal, Andriole, Katherine P., Ghoshhajra, Brian, Pinto, Joel, Vozila, Paul, Michalski, Mark, Tenenholtz, Neil A.
We propose a deep learning-based technique for detection and quantification of abdominal aortic aneurysms (AAAs). The condition, which leads to more than 10,000 deaths per year in the United States, is asymptomatic, often detected incidentally, and o
Externí odkaz:
http://arxiv.org/abs/1907.02567
Autor:
Bridge, Christopher P., Rosenthal, Michael, Wright, Bradley, Kotecha, Gopal, Fintelmann, Florian, Troschel, Fabian, Miskin, Nityanand, Desai, Khanant, Wrobel, William, Babic, Ana, Khalaf, Natalia, Brais, Lauren, Welch, Marisa, Zellers, Caitlin, Tenenholtz, Neil, Michalski, Mark, Wolpin, Brian, Andriole, Katherine
The amounts of muscle and fat in a person's body, known as body composition, are correlated with cancer risks, cancer survival, and cardiovascular risk. The current gold standard for measuring body composition requires time-consuming manual segmentat
Externí odkaz:
http://arxiv.org/abs/1808.03844