Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Shuna, Cheng"'
Autor:
Duran Sierra, Elvis de Jesus1, Shuna Cheng1, Cuenca, Rodrigo2, Ahmed, Beena3, Ji, Jim4, Yakovlev, Vladislav V.1, Martinez, Mathias5, Al-Khalil, Moustafa5, Al-Enazi, Hussain6, Busso, Carlos7, Jo, Javier A.2 javierjo@ou.edu
Publikováno v:
Biophotonics Discovery. Jul2024, Vol. 1 Issue 2, p1-11. 11p.
Autor:
Taylor A. Hinsdale, Bilal H. Malik, Shuna Cheng, Oscar R. Benavides, Maryellen L. Giger, John M. Wright, Paras B. Patel, Javier A. Jo, Kristen C. Maitland
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract We demonstrate that structured illumination microscopy has the potential to enhance fluorescence lifetime imaging microscopy (FLIM) as an early detection method for oral squamous cell carcinoma. FLIM can be used to monitor or detect changes
Externí odkaz:
https://doaj.org/article/3fe4e94ea55946189c029db792ed761b
Autor:
Kayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Yi-Shing Lisa Cheng, John Wright, Javier A. Jo, Carlos Busso
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:457-468
Deep learning approaches for medical image analysis are limited by small data set size due to multiple factors such as patient privacy and difficulties in obtaining expert labelling for each image. In medical imaging system development pipelines, pha
Publikováno v:
BioResources, Vol 9, Iss 4, Pp 7653-7665 (2014)
The effect of different physico-chemical treatments used in the isolation process of aloe vera (AV) rind nanofibers on the tensile properties of the nanofiber films were studied to understand the root of the low strength values of these films. In the
Externí odkaz:
https://doaj.org/article/eeff38474ca24ca1be8df4cc577fca7e
Autor:
Elvis Duran, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Vladislav V. Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Y.S. Lisa Cheng, John Wright, Carlos Busso, Javier A. Jo
Publikováno v:
Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2022.
Autor:
Elvis Duran, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Vladislav V. Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Y.S. Lisa Cheng, John Wright, Carlos Busso, Javier A. Jo
Publikováno v:
Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2022.
Autor:
Kayla, Caughlin, Elvis, Duran-Sierra, Shuna, Cheng, Rodrigo, Cuenca, Beena, Ahmed, Jim, Ji, Vladislav V, Yakovlev, Mathias, Martinez, Moustafa, Al-Khalil, Hussain, Al-Enazi, Javier A, Jo, Carlos, Busso
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
In contrast to previous studies that focused on classical machine learning algorithms and hand-crafted features, we present an end-to-end neural network classification method able to accommodate lesion heterogeneity for improved oral cancer diagnosis
Autor:
Elvis Duran-Sierra, Hussain Al-Enazi, John M. Wright, Vladislav V. Yakovlev, Carlos Busso, Moustafa Alkhalil, Javier A. Jo, Rodrigo Cuenca, Mathias Martinez, Jim Ji, Shuna Cheng, Yi-Shing Lisa Cheng, Beena Ahmed
Publikováno v:
Cancers, Vol 13, Iss 4751, p 4751 (2021)
Cancers
Volume 13
Issue 19
Cancers
Volume 13
Issue 19
Simple Summary Complete resection of dysplastic and malignant tissue improves overall survival and delays cancer recurrence in oral cancer patients; however, intraoperative surgical margin assessment is limited to visual inspection and palpation, mak
Autor:
Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Vladislav V. Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Javier A. Jo
Publikováno v:
Biomed Opt Express
Early detection is critical for improving the survival rate and quality of life of oral cancer patients; unfortunately, dysplastic and early-stage cancerous oral lesions are often difficult to distinguish from oral benign lesions during standard clin
Autor:
Taylor Hinsdale, Maryellen L. Giger, Kristen C. Maitland, Bilal H. Malik, John M. Wright, Shuna Cheng, Javier A. Jo, Oscar R. Benavides, Paras B. Patel
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
We demonstrate that structured illumination microscopy has the potential to enhance fluorescence lifetime imaging microscopy (FLIM) as an early detection method for oral squamous cell carcinoma. FLIM can be used to monitor or detect changes in the fl