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pro vyhledávání: '"Atifa Sarwar"'
HCM-Echo-VAR-Ensemble: Deep Ensemble Fusion to Detect Hypertrophic Cardiomyopathy in Echocardiograms
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 193-201 (2025)
Goal: To detect Hypertrophic Cardiomyopathy (HCM) from multiple views of Echocardiogram (cardiac ultrasound) videos. Methods: we propose HCM-Echo-VAR-Ensemble, a novel framework that performs binary classification (HCM vs. no HCM) of echocardiogram v
Externí odkaz:
https://doaj.org/article/f8764e52ff3243078418b3e4b38552ef
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 4, Pp 21-30 (2023)
Goal: To investigate whether a deep learning model can detect Covid-19 from disruptions in the human body's physiological (heart rate) and rest-activity rhythms (rhythmic dysregulation) caused by the SARS-CoV-2 virus. Methods: We propose CovidRhythm,
Externí odkaz:
https://doaj.org/article/fb139d112a1e424ea6fe6ca93f2d6b38
Autor:
Ruojun Li, Emmanuel Agu, Atifa Sarwar, Kristin Grimone, Debra Herman, Ana M Abrantes, Michael D. Stein
Publikováno v:
IEEE Sensors Journal. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::897b302b18093306de043292dce258f7
https://doi.org/10.1109/jsen.2023.3248868
https://doi.org/10.1109/jsen.2023.3248868
Publikováno v:
Smart Health. 26:100344
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01351e7e1f82776a27b02f31997c05ff
https://doi.org/10.1016/j.smhl.2022.100344
https://doi.org/10.1016/j.smhl.2022.100344
Autor:
Atifa Sarwar, Emmanuel Agu
Publikováno v:
ICDH
COVID-19 has now infected over 165 million people and killed over 3.5 million people. While public health interventions have reduced its spread and vaccines are being deployed, passive detection methods are needed to detect infections and early track
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf5f990247d8190a6e1e9558488a03b7
https://doi.org/10.1109/icdh52753.2021.00020
https://doi.org/10.1109/icdh52753.2021.00020
Publikováno v:
International journal of advanced computer science and applications (IJACSA)
International journal of advanced computer science and applications (IJACSA), The Science and Information Organization, 2015, 6 (8), pp.271-278. ⟨10.14569/IJACSA.2015.060836⟩
International journal of advanced computer science and applications (IJACSA), The Science and Information Organization, 2015, 6 (8), pp.271-278. ⟨10.14569/IJACSA.2015.060836⟩
International audience; Research has found that relatively few people engage in regular exercise or other physical activities. Despite the availability of numerous mobile applications and specialized devices for self-tracking, people mostly lack the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1fde1ccb1a7fae8680bd580a515751a
https://doi.org/10.14569/ijacsa.2015.060836
https://doi.org/10.14569/ijacsa.2015.060836