Zobrazeno 1 - 10
of 953
pro vyhledávání: '"B, Delahunt"'
Autor:
Debashish Das, Ranitha Vongpromek, Thanawat Assawariyathipat, Ketsanee Srinamon, Kalynn Kennon, Kasia Stepniewska, Aniruddha Ghose, Abdullah Abu Sayeed, M. Abul Faiz, Rebeca Linhares Abreu Netto, Andre Siqueira, Serge R. Yerbanga, Jean Bosco Ouédraogo, James J. Callery, Thomas J. Peto, Rupam Tripura, Felix Koukouikila-Koussounda, Francine Ntoumi, John Michael Ong’echa, Bernhards Ogutu, Prakash Ghimire, Jutta Marfurt, Benedikt Ley, Amadou Seck, Magatte Ndiaye, Bhavani Moodley, Lisa Ming Sun, Laypaw Archasuksan, Stephane Proux, Sam L. Nsobya, Philip J. Rosenthal, Matthew P. Horning, Shawn K. McGuire, Courosh Mehanian, Stephen Burkot, Charles B. Delahunt, Christine Bachman, Ric N. Price, Arjen M. Dondorp, François Chappuis, Philippe J. Guérin, Mehul Dhorda
Publikováno v:
Malaria Journal, Vol 21, Iss 1, Pp 1-12 (2022)
Abstract Background Microscopic examination of Giemsa-stained blood films remains the reference standard for malaria parasite detection and quantification, but is undermined by difficulties in ensuring high-quality manual reading and inter-reader rel
Externí odkaz:
https://doaj.org/article/9f3429c323c04ff7bc896f60dfbe9446
Autor:
Charles B. Delahunt, J. Nathan Kutz
Publikováno v:
IEEE Access, Vol 10, Pp 31210-31234 (2022)
We consider the data-driven discovery of governing equations from time-series data in the limit of high noise. The algorithms developed describe an extensive toolkit of methods for circumventing the deleterious effects of noise in the context of the
Externí odkaz:
https://doaj.org/article/c6150f69ec294048ae8de627bf05ae7f
Autor:
Matthew P. Horning, Charles B. Delahunt, Christine M. Bachman, Jennifer Luchavez, Christian Luna, Liming Hu, Mayoore S. Jaiswal, Clay M. Thompson, Sourabh Kulhare, Samantha Janko, Benjamin K. Wilson, Travis Ostbye, Martha Mehanian, Roman Gebrehiwot, Grace Yun, David Bell, Stephane Proux, Jane Y. Carter, Wellington Oyibo, Dionicia Gamboa, Mehul Dhorda, Ranitha Vongpromek, Peter L. Chiodini, Bernhards Ogutu, Earl G. Long, Kyaw Tun, Thomas R. Burkot, Ken Lilley, Courosh Mehanian
Publikováno v:
Malaria Journal, Vol 20, Iss 1, Pp 1-11 (2021)
Abstract Background Manual microscopy remains a widely-used tool for malaria diagnosis and clinical studies, but it has inconsistent quality in the field due to variability in training and field practices. Automated diagnostic systems based on machin
Externí odkaz:
https://doaj.org/article/aafdcc72a85144329336643f792ee7ec
Autor:
Katherine Torres, Christine M. Bachman, Charles B. Delahunt, Jhonatan Alarcon Baldeon, Freddy Alava, Dionicia Gamboa Vilela, Stephane Proux, Courosh Mehanian, Shawn K. McGuire, Clay M. Thompson, Travis Ostbye, Liming Hu, Mayoore S. Jaiswal, Victoria M. Hunt, David Bell
Publikováno v:
Malaria Journal, Vol 17, Iss 1, Pp 1-11 (2018)
Abstract Background Microscopic examination of Giemsa-stained blood films remains a major form of diagnosis in malaria case management, and is a reference standard for research. However, as with other visualization-based diagnoses, accuracy depends o
Externí odkaz:
https://doaj.org/article/304e6e0ae9d649d5bc40d34bbabb37a6
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2018)
The insect olfactory system, which includes the antennal lobe (AL), mushroom body (MB), and ancillary structures, is a relatively simple neural system capable of learning. Its structural features, which are widespread in biological neural systems, pr
Externí odkaz:
https://doaj.org/article/6a07ef2ecaaf4bb98db0f53d64229fd2
Publikováno v:
Brain Sciences, Vol 11, Iss 4, p 462 (2021)
Most organisms suffer neuronal damage throughout their lives, which can impair performance of core behaviors. Their neural circuits need to maintain function despite injury, which in particular requires preserving key system outputs. In this work, we
Externí odkaz:
https://doaj.org/article/be559183d1504aacbad4a161bb766581
Akademický článek
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Akademický článek
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Autor:
Roxanne R. Rees-Channer, Christine M. Bachman, Lynn Grignard, Michelle L. Gatton, Stephen Burkot, Matthew P. Horning, Charles B. Delahunt, Liming Hu, Courosh Mehanian, Clay M. Thompson, Katherine Woods, Paul Lansdell, Sonal Shah, Peter L. Chiodini
BackgroundLight microscopy remains a standard method for the detection of malaria parasites in clinical cases but training of staff to a WHO level 2 or higher requires considerable time. Moreover, excessive workflow can rapidly lead to fatigue and im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0037fc683c3a5ede1d718e61392f52c8
https://doi.org/10.21203/rs.3.rs-1622168/v1
https://doi.org/10.21203/rs.3.rs-1622168/v1
Autor:
Samantha Janko, Mehul Dhorda, Jane Carter, Jennifer Luchavez, Ranitha Vongpromek, Benjamin K. Wilson, Kyaw Myo Tun, Courosh Mehanian, Thomas R. Burkot, Ken Lilley, Peter L. Chiodini, Dionicia Gamboa, Earl G. Long, Christine Bachman, Grace Yun, Matthew P. Horning, Wellington Oyibo, Liming Hu, Christian Anthony Luna, Charles B. Delahunt, Clay M. Thompson, Sourabh Kulhare, Bernhards Ogutu, Mayoore S. Jaiswal, Martha Mehanian, Stephane Proux, Travis Ostbye, Derek Bell, Roman Gebrehiwot
Publikováno v:
Malaria Journal, Vol 20, Iss 1, Pp 1-11 (2021)
Malaria Journal
Malaria Journal
Background Manual microscopy remains a widely-used tool for malaria diagnosis and clinical studies, but it has inconsistent quality in the field due to variability in training and field practices. Automated diagnostic systems based on machine learnin