Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Hyeon-Ki Jeong"'
Autor:
Hyeon Ki Jeong, Christine Park, Simon W. Jiang, Matilda Nicholas, Suephy Chen, Ricardo Henao, Meenal Kheterpal
Publikováno v:
JID Innovations, Vol 4, Iss 4, Pp 100285- (2024)
The image quality received for clinical evaluation is often suboptimal. The goal is to develop an image quality analysis tool to assess patient- and primary care physician–derived images using deep learning model. Dataset included patient- and prim
Externí odkaz:
https://doaj.org/article/547e4b12e9ca4f46a7884bb345a70e71
Publikováno v:
JID Innovations, Vol 3, Iss 1, Pp 100150- (2023)
Artificial intelligence (AI) has recently made great advances in image classification and malignancy prediction in the field of dermatology. However, understanding the applicability of AI in clinical dermatology practice remains challenging owing to
Externí odkaz:
https://doaj.org/article/f61be7309f9c430a8d603aaae9f41748
Publikováno v:
JMIR Dermatology, Vol 5, Iss 2, p e35497 (2022)
BackgroundDeidentifying facial images is critical for protecting patient anonymity in the era of increasing tools for automatic image analysis in dermatology. ObjectiveThe aim of this paper was to review the current literature in the field of automa
Externí odkaz:
https://doaj.org/article/52f9b5855fd648948728408fe42cff52
Publikováno v:
IEEE Trans Biomed Eng
Objective: Considering the knee as a fluid-lubricated system, articulating surfaces undergo different lubrication modes and generate joint acoustic emissions (JAEs) while moving. The goal of this study is to compare knee biomechanical signals against
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::784e5d0302d223d117a8598a2444c39b
https://doi.org/10.1109/tbme.2021.3127030
https://doi.org/10.1109/tbme.2021.3127030
Publikováno v:
Sensors, Vol 19, Iss 12, p 2683 (2019)
Sounds produced by the articulation of joints have been shown to contain information characteristic of underlying joint health, morphology, and loading. In this work, we explore the use of a novel form factor for non-invasively acquiring acoustic/vib
Externí odkaz:
https://doaj.org/article/1f608e9f0dd54bc69e98a6e671f03041
Autor:
Hyeon Ki Jeong, Bradley M. Blaho, Aaron J. Young, Omer T. Inan, Mohsen Safaei, Nicholas B. Bolus
Publikováno v:
IEEE Trans Biomed Eng
Objective : Tendons are essential components of the musculoskeletal system and, as with any mechanical structure, can fail under load. Tendon injuries are common and can be debilitating, and research suggests that a better understanding of their load
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c90e36264bb497446fb6600b197f534
https://doi.org/10.1109/tbme.2020.3005353
https://doi.org/10.1109/tbme.2020.3005353
Autor:
Hyeon Ki Jeong1, Henao, Ricardo1, Park, Christine1, Jiang, Simon1, Nicholas, Matilda1, Chen, Suephy1, Kheterpa, Meenal1 meenal.kheterpal@duke.edu
Publikováno v:
iProceedings. 2023, Vol. 9 Issue 1, p1-2. 2p.
Publikováno v:
Annals of Biomedical Engineering. 49:1000-1011
Quantifying joint load in activities of daily life could lead to improvements in mobility for numerous people; however, current methods for assessing joint load are unsuitable for ubiquitous settings. The aim of this study is to demonstrate that join
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6b47fc4c341aef07318cfc6fddc7562
https://doi.org/10.1007/s10439-020-02641-7
https://doi.org/10.1007/s10439-020-02641-7
BACKGROUND Deidentifying facial images is critical for protecting patient anonymity in the era of increasing tools for automatic image analysis in dermatology. OBJECTIVE The aim of this paper was to review the current literature in the field of autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f92f6994414ea5159e4cb2193f6fa66
https://doi.org/10.2196/preprints.35497
https://doi.org/10.2196/preprints.35497
BACKGROUND In the era of increasing tools for automatic image analysis in dermatology, new machine learning models require high-quality image data sets. Facial image data are needed for developing models to evaluate attributes such as redness (acne a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df655e6d254bd34c770e59fe97bb38be
https://doi.org/10.2196/preprints.35431
https://doi.org/10.2196/preprints.35431