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pro vyhledávání: '"Ordun, Catherine"'
Autor:
Ordun, Catherine, Cha, Alexandra, Raff, Edward, Purushotham, Sanjay, Kwok, Karen, Rule, Mason, Gulley, James
Publikováno v:
2nd Annual Artificial Intelligence over Infrared Images for Medical Applications Workshop 2023
Since thermal imagery offers a unique modality to investigate pain, the U.S. National Institutes of Health (NIH) has collected a large and diverse set of cancer patient facial thermograms for AI-based pain research. However, differing angles from cam
Externí odkaz:
http://arxiv.org/abs/2308.12271
Publikováno v:
2023, 7th IEEE International Joint Conference on Biometrics (IJCB)
For a variety of biometric cross-spectral tasks, Visible-Thermal (VT) facial pairs are used. However, due to a lack of calibration in the lab, photographic capture between two different sensors leads to severely misaligned pairs that can lead to poor
Externí odkaz:
http://arxiv.org/abs/2306.06505
Publikováno v:
2023 IEEE International Conference on Image Processing
Thermal facial imagery offers valuable insight into physiological states such as inflammation and stress by detecting emitted radiation in the infrared spectrum, which is unseen in the visible spectra. Telemedicine applications could benefit from the
Externí odkaz:
http://arxiv.org/abs/2302.09395
Autor:
Ordun, Catherine, Cha, Alexandra N., Raff, Edward, Gaskin, Byron, Hanson, Alex, Rule, Mason, Purushotham, Sanjay, Gulley, James L.
Publikováno v:
2021, Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track
Cancer patients experience high rates of chronic pain throughout the treatment process. Assessing pain for this patient population is a vital component of psychological and functional well-being, as it can cause a rapid deterioration of quality of li
Externí odkaz:
http://arxiv.org/abs/2204.04214
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP)
Thermal images reveal medically important physiological information about human stress, signs of inflammation, and emotional mood that cannot be seen on visible images. Providing a method to generate thermal faces from visible images would be highly
Externí odkaz:
http://arxiv.org/abs/2106.08091
Publikováno v:
2020, AAAI FSS-20 AI in Government and Public Sector Applications
With the increased attention on thermal imagery for Covid-19 screening, the public sector may believe there are new opportunities to exploit thermal as a modality for computer vision and AI. Thermal physiology research has been ongoing since the late
Externí odkaz:
http://arxiv.org/abs/2009.10589
Publikováno v:
Aug. 2020, epiDAMIK 3.0: The 3rd International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
This paper illustrates five different techniques to assess the distinctiveness of topics, key terms and features, speed of information dissemination, and network behaviors for Covid19 tweets. First, we use pattern matching and second, topic modeling
Externí odkaz:
http://arxiv.org/abs/2005.03082
Publikováno v:
In Ciottone's Disaster Medicine Edition: Third Edition. 2024:941-943
Autor:
Adams, Axel, Affun-Adegbulu, Clara, Al-Rasheed, Rakan S., Alaska, Yasser A., Aldawas, Abdulaziz D., Alesa, Saleh Ali, Alexander, George A., Alhadhira, Abdullah Ahmed, Alhajjaj, Fahad Saleha, Alhazmi, Hazem H., Alhussaini, Zainab Abdullah, Aljerian, Nawfal, Aljohani, Majed, AlKhaldi, Khaldoon H., Alkhattabi, Eyad, Allen, Bryant, Almand, Austin, Alnoaimi, Moza M., Alotaibi, Mohammad, Alpert, Evan Avraham, Alrusayni, Yasir A., Alshammari, Mai, Alsulimani, Loui K., Amanullah, Siraj, Anderson, Arian, Arastehmanesh, David, Ardalan, Ali, Argote-Araméndiz, Killiam A., Artenstein, Andrew W., Bailey, Olivia E., Baker, Russell, Balsari, Satchit, Banner, Gregory T., M, Fermin Barrueto, Bartels, Susan A., Baugh, Joshua J., Berg, Frederic, Bhola, Vijai, Binder, William, Bortolin, Michelangelo, Bounes, Vincent, Bouton, Michael, Brown, Natasha, Jr, Frederick M. Burkle, Burnett, Lynn Barkley, Burns, Michele M., Sr, Nicholas V. Cagliuso, Cahill, John, Callaway, David W., Caneva, Duane C., Cattamanchi, Srihari, Caycedo, Alejandra, Cetaruk, Edward W., Chacko, Sneha, Chang, James C., Chiang, Crystal, Chiu, David T., Ciottone, Gregory R., Ciottone, Jonathan Peter, Ciottone, Melissa A., Ciottone, Robert A., Ciottone, Robert G., Ciottone, Vigen G., Clark, Alexander, Clark, Jonathan, Conley, Sean P., Cono, Joanne, Cooper, Arthur, Cormier, Scott B., Court, Michael F., Cunningham, Cord W., Czarnecki, Fabrice, Davis, Supriya, Davis, Timothy E., DeMers, Gerard, Dilling, Sharon, Djalali, Ahmadreza, Donahoe, Timothy, Donahue, Joseph, Dresser, Caleb, Dylik, Jason, Easter, Benjamin, Eastman, Alexander, Ebbeling, Laura, Emetarom, Chigozie, Eyal, Nir, Eyre, Andrew J., Freeman, David J., Friedman, Franklin D., Fritz, Christie, Fung, Frederick, Gallahue, Fiona E., Garbern, Stephanie Chow, Gebhart, Mark E., Gluckman, William A., Goolsby, Craig, Gougelet, Robert M., Granholm, Fredrik, Greenough, P. Gregg, Grimes, Jennifer O., Grosse, Steve, Grossman, Shamai A., Jr, John T. Groves, Guidotti, Tee L., Guo, George, Haessler, Sarah, Hall, Matthew M., Hardin, John W., Harrell, Mason, Hart, MD, Alexander, Harvey, Melissa, Hertelendy, PhD, Attila J., Hiremath, Nishanth S., Hitchens, Jordan, Holstege, Christopher P., Horne, Simon T., Horng, Steven, Hosin, Amer, House, Hans R., Ingrassia, Pier Luigi, Issa, Fadi S., Jacoby, Irving “Jake”, Jaiswal, Rajnish, Jay, Gregory, Jenkins, J. Lee, Joseph, Josh W., Kappler, Shane, Keim, Mark E., Kelman, Julie, Ketterer, Andrew R., Khan, Anas A., Kharel, Ramu, Kharod, Chetan U., Kirsch, Thomas D., Knopov, Anita, Kravitz, Max, Lee, J. Austin, Lemery, Jay, Leventhal, Evan L., Loughlin, Jesse, Ludy, Stephanie, Maguire, Brian J., Mahon, Selwyn E., Maniscalco, Paul M., Manners, Philip, Marcus, Leonard Jay, Margus, Colton, Masri, Taha M., Matthews, Jeff, McKay, Sean D., McKinney, Zeke J., McLellan, Robert K., McNulty, Eric J., Mehkri, Faroukh, Mehta, Mandana, Mendelsohn, Rebecca A., Merin, Ofer, Milsten, Andrew, Molé, Dale M., Molloy, Michael Sean, Morelli, Ilaria, Mothershead, Jerry L., Mulhern, John, Mullendore, Nicole F., Musisca, Nicholas J., Naganathan, Sonya, Nathanson, Larry A., Nelson, Erica L., Nelson, Lewis S., Newbury, Bradford A., Newbury, Kimberly, O’Neill, Ansley, Obernier, Robert, Olagnero, Jacopo M., Oostrom-Shah, Leonie, Ordun, Catherine Y., Parazynski, Scott, Park, Andrew J., Partridge, Robert, S, Jeffrey, Phillips, James P., Pinter, Emily, IV, David P. Polatty, Popieluszko, Patrick, Porcaro, William, Proano, Lawrence, Pruitt, Peter B., Qureshi, Moiz, Ragazzoni, Luca, Rashid, Murtaza, Rega, Paul Patrick, Reilly, Michael J., Restuccia, Marc C., Rifino, James J., Robben, Paul M., Rosenblatt, Joy L., Ryan, Kevin M., Rybasack-Smith, Heather, Salway, Richard James, Samo, Daniel, Sanchez, Leon D., Sanford, Shawn M., Sarin, Ritu R., Sarma, Deesha, Schacht, Jesse, Schwind, Valarie, Shapiro, Geoffrey L., Sheehan, Joshua, Shreve, Brian, Simonyan, Grigor, Smith, Devin M., MD, E. Reed Smith, MA, Jack E. Smith, Smith, Montray, Smulowitz, Peter B., Snyder, Angela M., Solano, Joshua J., Stenson, Bryan A., Stewart, Charles, Stewart, M. Kathleen, Sullivan, Patrick, Supple, Jared S., Tin, Derrick, Valente, Jonathan Harris, Vear, Kathryn M., Vidyalakshmi, P.R., Vilas, Faith, Vilke, Gary M., Villano, Janna H., Voskanyan, Amalia, Watson, C. James, Weber, Nancy, Weiner, Scott G., Weinstein, Brielle, Weinstein, Eric S., Werner, Jordan R., MD, Roy Karl Werner, Whitledge, James D., Wiener, Sage W., Wiesner, Lauren, Williams, Kenneth A., Wing, Robyn, Wolfe, Richard E., Wong, Wendy Hin-Wing, Woolard, Robert, Wuthisuthimethawee, Prasit, Youssef, Nadine A.
Publikováno v:
In Ciottone's Disaster Medicine Edition: Third Edition. 2024:xiii-xxiv
Publikováno v:
Online Journal of Public Health Informatics
Objective A team of data scientists from Booz Allen competed in an opioid hackathon and developed a prototype opioid surveillance system using data science methods. This presentation intends to 1) describe the positives and negatives of our data scie