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pro vyhledávání: '"Lavista, Juan"'
Floods cause extensive global damage annually, making effective monitoring essential. While satellite observations have proven invaluable for flood detection and tracking, comprehensive global flood datasets spanning extended time periods remain scar
Externí odkaz:
http://arxiv.org/abs/2411.01411
Autor:
Ahamed, Shadab, Xu, Yixi, Gowdy, Claire, O, Joo H., Bloise, Ingrid, Wilson, Don, Martineau, Patrick, Bénard, François, Yousefirizi, Fereshteh, Dodhia, Rahul, Lavista, Juan M., Weeks, William B., Uribe, Carlos F., Rahmim, Arman
This study performs comprehensive evaluation of four neural network architectures (UNet, SegResNet, DynUNet, and SwinUNETR) for lymphoma lesion segmentation from PET/CT images. These networks were trained, validated, and tested on a diverse, multi-in
Externí odkaz:
http://arxiv.org/abs/2311.09614
Autor:
Pereira, Mayana, Greene, Kevin, Pisharody, Nilima, Dodhia, Rahul, Shapiro, Jacob N., Lavista, Juan
The proliferation of misinformation and propaganda is a global challenge, with profound effects during major crises such as the COVID-19 pandemic and the Russian invasion of Ukraine. Understanding the spread of misinformation and its social impacts r
Externí odkaz:
http://arxiv.org/abs/2307.13180
Autor:
Wojcik, Stefan, Bijral, Avleen, Johnston, Richard, Lavista, Juan Miguel, King, Gary, Kennedy, Ryan, Vespignani, Alessandro, Lazer, David
While digital trace data from sources like search engines hold enormous potential for tracking and understanding human behavior, these streams of data lack information about the actual experiences of those individuals generating the data. Moreover, m
Externí odkaz:
http://arxiv.org/abs/2003.13822
Akademický článek
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Publikováno v:
International Journal of Public Health (Frontiers Media S.A.); 2024, p1-3, 3p
Akademický článek
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Autor:
Palesh, Oxana, Oakley-Girvan, Ingrid, Richardson, Amanda, Nelson, Lorene M., Clark, Rich, Hancock, Jeffrey, Acle, Carlos, Lavista, Juan M., Miller, Yasamin, Gore-Felton, Cheryl
Publikováno v:
Journal of College Student Psychotherapy; Jul-Sep2022, Vol. 36 Issue 3, p331-338, 8p, 1 Chart
Autor:
Weeks WB; AI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America., Chang JE; School of Global Public Health, New York University, New York, New York, United States of America., Pagán JA; School of Global Public Health, New York University, New York, New York, United States of America., Lumpkin J; AI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America., Michael D; AI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America., Salcido S; AI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America., Kim A; AI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America., Speyer P; Novartis Foundation, Basel, Switzerland., Aerts A; Novartis Foundation, Basel, Switzerland., Weinstein JN; Microsoft Research, Microsoft Corporation, Redmond, Washington, United States of America.; The Dartmouth Institute and Tuck School of Business, Dartmouth College, Hanover, New Hampshire, United States of America.; Kellogg School of Business, Northwestern University, Evanston, Illinois, United States of America., Lavista JM; AI for Good Lab, Microsoft Corporation, Redmond, Washington, United States of America.
Publikováno v:
PLOS global public health [PLOS Glob Public Health] 2023 Oct 03; Vol. 3 (10), pp. e0002420. Date of Electronic Publication: 2023 Oct 03 (Print Publication: 2023).
Autor:
Oakley-Girvan I; Public Health Institute, Oakland, CA, United States.; Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Stanford, CA, United States.; Stanford Cancer Institute, Stanford University, Stanford, CA, United States., Lavista JM; Microsoft, Kirkland, WA, United States., Miller Y; Yasamin Miller Group, Ithaca, NY, United States., Davis S; Department of Research, Cancer Prevention Institute of California, Fremont, CA, United States., Acle C; Onetree, Kirkland, WA, United States., Hancock J; Department of Communication, Stanford University, Stanford, CA, United States., Nelson LM; Stanford Center for Population Sciences, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, United States.
Publikováno v:
JMIR formative research [JMIR Form Res] 2019 Jan 11; Vol. 3 (1), pp. e10246. Date of Electronic Publication: 2019 Jan 11.