Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Wei‐Hung Weng"'
Autor:
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila
Publikováno v:
PLOS Global Public Health, Vol 4, Iss 6, p e0003204 (2024)
Cardiovascular diseases (CVDs) are responsible for a large proportion of premature deaths in low- and middle-income countries. Early CVD detection and intervention is critical in these populations, yet many existing CVD risk scores require a physical
Externí odkaz:
https://doaj.org/article/ce69a567c2d14f539f32261159621712
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e48834 (2023)
BackgroundTraditional methods for investigating work hours rely on an employee’s physical presence at the worksite. However, accurately identifying break times at the worksite and distinguishing remote work outside the worksite poses challenges in
Externí odkaz:
https://doaj.org/article/a9d6b20172c845bfa86d25995c4ad9bb
Autor:
Mantian Xue, Charles Mackin, Wei-Hung Weng, Jiadi Zhu, Yiyue Luo, Shao-Xiong Lennon Luo, Ang-Yu Lu, Marek Hempel, Elaine McVay, Jing Kong, Tomás Palacios
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
The potential of 2D materials for biosensing applications is often limited by large device-to-device variation. Here, the authors report a calibration method and a machine learning approach leveraging the redundancy of a sensing platform based on 256
Externí odkaz:
https://doaj.org/article/ceb66f3359f3461382ce4d82882ea2c9
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-13 (2017)
Abstract Background The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have
Externí odkaz:
https://doaj.org/article/ae33b77dcb6d4aff8d8bfe507734ff63
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6421 (2021)
Open domain question answering (OpenQA) tasks have been recently attracting more and more attention from the natural language processing (NLP) community. In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical
Externí odkaz:
https://doaj.org/article/11ebc944223d456caec3066e6152ebd1
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 27:1-10
Melasma, which is thought to be associated with hyperactivation of melanocytes, is a common hyperpigmentary skin disorder. To treat this skin disorder, dermatologists can benefit from in vivo information of cellular morphometrics to evaluate patholog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b98c59535d1ce42f7fe67e71f2b2608
https://doi.org/10.1109/jstqe.2021.3069472
https://doi.org/10.1109/jstqe.2021.3069472
Autor:
Xudong Fan, Xuzhou Li, Yun-Lu Sun, Yu-Cheng Chen, Hongbo Zhu, Wei-Hung Weng, Xiaotian Tan, Xueding Wang, Qiushu Chen
Publikováno v:
ACS Photonics. 7:2182-2189
Advances in imaging and recording of neuron activities with a single cellular resolution have played a significant role in understanding neurological diseases and signaling. Conventional methods re...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f8fee0b6b58f72e11fe35bf2be22735
https://doi.org/10.1021/acsphotonics.0c00692
https://doi.org/10.1021/acsphotonics.0c00692
Autor:
Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew FK. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4e44cd705a480da86c32ad65d5f4d41
https://doi.org/10.1109/iccv48922.2021.00398
https://doi.org/10.1109/iccv48922.2021.00398
Publikováno v:
Applied Sciences, Vol 11, Iss 6421, p 6421 (2021)
Applied Sciences
Volume 11
Issue 14
Applied Sciences
Volume 11
Issue 14
Open domain question answering (OpenQA) tasks have been recently attracting more and more attention from the natural language processing (NLP) community. In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e3e24664c899f4fc2d54ba05327cffb
