Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Luca Cerny Oliveira"'
Autor:
Heather Siefkes, Luca Cerny Oliveira, Robert Koppel, Whitnee Hogan, Meena Garg, Erlinda Manalo, Nicole Cresalia, Zhengfeng Lai, Daniel Tancredi, Satyan Lakshminrusimha, Chen‐Nee Chuah
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 12 (2024)
Background Oxygen saturation (Spo2) screening has not led to earlier detection of critical congenital heart disease (CCHD). Adding pulse oximetry features (ie, perfusion data and radiofemoral pulse delay) may improve CCHD detection, especially coarct
Externí odkaz:
https://doaj.org/article/73ea5ffd89394e1ea45a894884688e20
Autor:
Amparo Villablanca, Brittany N. Dugger, Saivageethi Nuthikattu, Joohi Chauhan, Samson Cheung, Chen-Nee Chuah, Siedah L. Garrison, Dragan Milenkovic, Jennifer E. Norman, Luca Cerny Oliveira, Bridgette P. Smith, Susan D. Brown
Publikováno v:
Journal of Clinical and Translational Science, Vol 8 (2024)
Cardiovascular disease (CVD) is largely preventable, and the leading cause of death for men and women. Though women have increased life expectancy compared to men, there are marked sex disparities in prevalence and risk of CVD-associated mortality an
Externí odkaz:
https://doaj.org/article/3509363ecb65400493c8f6ce85a8647d
Autor:
Zhengfeng Lai, Luca Cerny Oliveira, Runlin Guo, Wenda Xu, Zin Hu, Kelsey Mifflin, Charles Decarli, Sen-Ching Cheung, Chen-Nee Chuah, Brittany N. Dugger
Publikováno v:
IEEE Access, Vol 10, Pp 49064-49079 (2022)
As neurodegenerative disease pathological hallmarks have been reported in both grey matter (GM) and white matter (WM) with different density distributions, automating the segmentation process of GM/WM would be extremely advantageous for aiding in neu
Externí odkaz:
https://doaj.org/article/10e3127e129f4604a4c7a27894592b6d
Publikováno v:
IEEE Int Conf Connect Health Appl Syst Eng Technol
Recent advances in Critical Congenital Heart Disease (CCHD) research using Photoplethysmography (PPG) signals have yielded an Internet of Things (IoT) based enhanced screening method that performs CCHD detection comparable to SpO2 screening. The use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c538aa19a33eaca84bf3476053b6931b
https://pubmed.ncbi.nlm.nih.gov/35253019
https://pubmed.ncbi.nlm.nih.gov/35253019
Autor:
Chen-Nee Chuah, Sen-ching S. Cheung, Chao Wang, Luca Cerny Oliveira, Zhengfeng Lai, Brittany N. Dugger
Publikováno v:
IEEE Int Conf Comput Vis Workshops
The need for manual and detailed annotations limits the applicability of supervised deep learning algorithms in medical image analyses, specifically in the field of pathology. Semi-supervised learning (SSL) provides an effective way for leveraging un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7824356de43de0c98af43b0cd0d810e6
https://doi.org/10.1109/iccvw54120.2021.00072
https://doi.org/10.1109/iccvw54120.2021.00072