Výsledky vyhledávání - "Rodrigo Cuenca"

Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer Diagnosis

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a133f2f3d85022803ae759cc634dd946
https://doi.org/10.1109/jbhi.2022.3217015

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End-to-End Neural Network for Feature Extraction and Cancer Diagnosis of In Vivo Fluorescence Lifetime Images of Oral Lesions

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9297571a694354ce133840a870c2debd
https://doi.org/10.1109/embc46164.2021.9629739

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Machine-Learning Assisted Discrimination of Precancerous and Cancerous from Healthy Oral Tissue Based on Multispectral Autofluorescence Lifetime Imaging Endoscopy

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

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b86397db26496a643e32cdf95c271f06
https://www.mdpi.com/2072-6694/13/19/4751

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Clinical label-free endoscopic imaging of biochemical and metabolic autofluorescence biomarkers of benign, precancerous, and cancerous oral lesions

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f50bdd9333c07791e7fcb0f1024c8b3a
https://doi.org/10.1364/boe.460081

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Clinical label-free biochemical and metabolic fluorescence lifetime endoscopic imaging of precancerous and cancerous oral lesions

Autor: Jim Ji, Bilal H. Malik, Moustafa Alkhalil, Shuna Cheng, Kristen C. Maitland, Mathias Martinez, Elvis Duran-Sierra, Y. S. Lisa Cheng, Rodrigo Cuenca-Martinez, Beena Ahmed, John M. Wright, Javier A. Jo, Hussain Al-Enazi

Publikováno v: Oral Oncol

Introduction Incomplete head and neck cancer resection occurs in up to 85% of cases, leading to increased odds of local recurrence and regional metastases; thus, image-guided surgical tools for accurate, in situ and fast detection of positive margins

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bd72dace185f4e76c8a8d53da8ad7aa
https://doi.org/10.1016/j.oraloncology.2020.104635

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Endogenous Fluorescence Lifetime Imaging (FLIM) Endoscopy For Early Detection Of Oral Cancer And Dysplasia

Autor: Yi-Shing Lisa Cheng, Elvis Duran-Sierra, Javier A. Jo, Kristen C. Maitland, John Wright, Shuna Cheng, Terry Reese, Beena Ahmed, Bilal H. Malik, Rodrigo Cuenca-Martinez

Publikováno v: EMBC

We have performed a pilot clinical study, in which multispectral endogenous fluorescence (or autofluorescence) lifetime imaging (FLIM) was performed on clinically suspicious oral lesions of 73 patients undergoing tissue biopsy for oral dysplasia and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::482b8499cc6183a87d9b7f89c0fd97bf
https://doi.org/10.1109/embc.2018.8513027

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Machine learning methods for fluorescence lifetime imaging (FLIM) based automated detection of early stage oral cancer and dysplasia (Conference Presentation)

Autor: Terry D. Rees, Beena Ahmed, Rodrigo Cuenca, John M. Wright, Bilal H. Malik, Kristen C. Maitland, Yi-Shing Lisa L. Cheng, Shuna Cheng, Javier A. Jo

Publikováno v: Optical Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2018.

Despite of the ease accessibility of the oral cavity, only ~30% of oral cancer patients are diagnosed at early stages. Some of the factors that contribute to this low rate of early detection are: asymptomatic oral cancer lesions, similarity to benign

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::85cb9d6aca4e932c904919bcfda6bb99
https://doi.org/10.1117/12.2288840

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