Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ellen K. Hughes"'
Autor:
William F. Maguire, Paul H. Haley, Catherine M. Dietz, Mike Hoffelder, Clara S. Brandt, Robin Joyce, Georgia Fitzgerald, Christopher Minnier, Cindy Sander, Laura K. Ferris, Gyorgy Paragh, Joshua Arbesman, Hong Wang, Kevin J. Mitchell, Ellen K. Hughes, John M. Kirkwood
Publikováno v:
JID Innovations, Vol 3, Iss 2, Pp 100181- (2023)
The documentation of the change in the number and appearance of pigmented cutaneous lesions over time is critical to the early detection of skin cancers and may provide preliminary signals of efficacy in early-phase therapeutic prevention trials for
Externí odkaz:
https://doaj.org/article/7cbb1b859fca45d18e5b872a007ca00b
Autor:
Grace Lisius, Radha Duttagupta, Asim A. Ahmed, Matthew Hensley, Nameer Al-Yousif, Michael Lu, William Bain, Faraaz Shah, Caitlin Schaefer, Shulin Qin, Xiaohong Wang, Yingze Zhang, Kevin J. Mitchell, Ellen K. Hughes, Jana L. Jacobs, Asma Naqvi, Ghady Haidar, John W. Mellors, Barbara Methé, Bryan J. McVerry, Alison Morris, Georgios D. Kitsios
BackgroundSecondary infection (SI) diagnosis in COVID-19 is challenging, due to overlapping clinical presentations, practical limitations in obtaining samples from the lower respiratory tract (LRT), and low sensitivity of microbiologic cultures.Resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db3ade3462eddbbea73f131802cf674b
https://doi.org/10.1101/2022.09.09.22279790
https://doi.org/10.1101/2022.09.09.22279790
Autor:
Nameer Al-Yousif, Saketram Komanduri, Hafiz Qurashi, Anatoliy Korzhuk, Halimat O. Lawal, Nicholas Abourizk, Caitlin Schaefer, Kevin J. Mitchell, Catherine M. Dietz, Ellen K. Hughes, Clara S. Brandt, Georgia M. Fitzgerald, Robin Joyce, Asmaa S. Chaudhry, Daniel Kotok, Jose D. Rivera, Andrew I. Kim, Shruti Shettigar, Allen Lavina, Christine E. Girard, Samantha R. Gillenwater, Anas Hadeh, William Bain, Faraaz A. Shah, Matthew Bittner, Michael Lu, Niall Prendergast, John Evankovich, Konstantin Golubykh, Navitha Ramesh, Jana J. Jacobs, Cathy Kessinger, Barbara Methé, Janet S. Lee, Alison Morris, Bryan J. McVerry, Georgios D. Kitsios
Publikováno v:
medRxiv
INTRODUCTIONChest imaging is necessary for diagnosis of COVID-19 pneumonia, but current risk stratification tools do not consider radiographic severity. We quantified radiographic heterogeneity among inpatients with COVID-19 with the Radiographic Ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b44b0776a9ebe5d3de0773c9525e87f
https://europepmc.org/articles/PMC9216727/
https://europepmc.org/articles/PMC9216727/
Autor:
Nameer Al-Yousif, Saketram Komanduri, Hafiz Qurashi, Anatoliy Korzhuk, Halimat O Lawal, Nicholas Abourizk, Caitlin Schaefer, Kevin J Mitchell, Catherine M Dietz, Ellen K Hughes, Clara S Brandt, Georgia M Fitzgerald, Robin Joyce, Asmaa S Chaudhry, Daniel Kotok, Jose D Rivera, Andrew I Kim, Shruti Shettigar, Allen Lavina, Christine E Girard, Samantha R Gillenwater, Anas Hadeh, William Bain, Faraaz A Shah, Matthew Bittner, Michael Lu, Niall Prendergast, John Evankovich, Konstantin Golubykh, Navitha Ramesh, Jana J Jacobs, Cathy Kessinger, Barbara Methe, Janet S Lee, Alison Morris, Bryan J McVerry, Georgios D Kitsios
Publikováno v:
BMJ Open. 13:e066626
ObjectivesTo reliably quantify the radiographic severity of COVID-19 pneumonia with the Radiographic Assessment of Lung Edema (RALE) score on clinical chest X-rays among inpatients and examine the prognostic value of baseline RALE scores on COVID-19
Autor:
Hassane M. Zarour, Hong Wang, Ellen K. Hughes, Christopher Minnier, Cindy Sander, Darcy Ploucha, Robin Joyce, William F. Maguire, Melissa D. Wilson, Michael Hoffelder, Kevin J. Mitchell, John M. Kirkwood, Paul H. Haley, Clara S. Brandt, Catherine M. Dietz
Publikováno v:
Cancer Research. 81:LB227-LB227
Introduction: Melanoma develops either de novo or from non-obligate precursor lesions known as atypical/dysplastic nevi. Assessment of change in number and morphology of pigmented cutaneous lesions over time is critical to early detection of skin can
Autor:
Uma N. M. Rao, Catherine M. Dietz, John M. Kirkwood, Yan Lin, Pamela B. Cassidy, Ahmad A. Tarhini, Ellen K Hughes, Laura K. Ferris, Jan H. Beumer, Lisa H. Butterfield, Amy Rose, Susan M. Christner, Shawn Tahata, Melissa Wilson, Eun-Ryeong Hahm, Hussein Abdul-Hassan Tawbi, Jed W. Fahey, Cindy Sander, Hassane M. Zarour, Shivendra V. Singh, Sancy A. Leachman
Publikováno v:
Cancer prevention research (Philadelphia, Pa.). 11(7)
Broccoli sprout extract containing sulforaphane (BSE-SFN) has been shown to inhibit ultraviolet radiation–induced damage and tumor progression in skin. This study evaluated the toxicity and potential effects of oral BSE-SFN at three dosages. Sevent
Autor:
Ellen K. Hughes, Priscila Pereira Coltri, Donna Haverkamp, Robson L. F. Cordeiro, Tamires T. Souza, Fan Guo, Christos Faloutsos, Agma J. M. Traina, Luciana A. S. Romani, James H. Horne, Caetano Traina, Gunhee Kim
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Given a large image set, in which very few images have labels, how to guess labels for the remaining majority? How to spot images that need brand new labels different from the predefined ones? How to summarize these data to route the user's attention
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fbeb007e2c39338ad0f8da05b7d915a
Publikováno v:
Multimedia Systems. 7:385-395
The automatic extraction and recognition of news captions and annotations can be of great help locating topics of interest in digital news video libraries. To achieve this goal, we present a technique, called Video OCR (Optical Character Reader), whi
Autor:
Donna Haverkamp, Gunhee Kim, Ellen K. Hughes, Robson L. F. Cordeiro, Caetano Traina, Christos Faloutsos, Fan Guo, Agma J. M. Traina, James H. Horne
Publikováno v:
ICDM
Given a large collection of images, very few of which have labels, how can we guess the labels of the remaining majority, and how can we spot those images that need brand new labels, different from the existing ones? Current automatic labeling techni