Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Christine Hendon"'
Autor:
Xiaowei Zhao, Ohad Ziv, Reza Mohammadpour, Benjamin Crosby, Walter J. Hoyt, Michael W. Jenkins, Christopher Snyder, Christine Hendon, Kenneth R. Laurita, Andrew M. Rollins
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Radiofrequency ablation (RFA) is commonly used to treat atrial fibrillation (AF). However, the outcome is often compromised due to the lack of direct real-time feedback to assess lesion transmurality. In this work, we evaluated the ability o
Externí odkaz:
https://doaj.org/article/7f23977f72e2400a90c4496859aefa05
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract There are currently limited means by which lesion formation can be confirmed during radiofrequency ablation procedures. The purpose of this study was to evaluate the use of NIRS-integrated RFA catheters for monitoring irrigated lesion progre
Externí odkaz:
https://doaj.org/article/3a6e64cc45cf4c2992de3b2fded0c201
Autor:
Xiaowei Zhao, Ohad Ziv, Reza Mohammadpour, Benjamin Crosby, Walter J. Hoyt, Michael W. Jenkins, Christopher Snyder, Christine Hendon, Kenneth R. Laurita, Andrew M. Rollins
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/35ea8f882daf4c7aa0e8f8a60401b7ec
Autor:
Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa Angelini, Christine Hendon
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-12
Automatically identifying the structural substrates underlying cardiac abnormalities can potentially provide real-time guidance for interventional procedures. With the knowledge of cardiac tissue substrates, the treatment of complex arrhythmias such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac4c4d8748db1b3c0016d038301b95e2
https://doi.org/10.1109/jbhi.2023.3263838
https://doi.org/10.1109/jbhi.2023.3263838
Autor:
Michael Douglass, Juan Perez, Lydia Akino, Haiqiu Yang, Walter J. Hoyt, Ohad Ziv, Kenneth R. Laurita, Christine Hendon, Andrew M. Rollins
Publikováno v:
Diagnostic and Therapeutic Applications of Light in Cardiology 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fd8c5065741378e1c132b0cb781444e
https://doi.org/10.1117/12.2650838
https://doi.org/10.1117/12.2650838
Autor:
Diana, Mojahed, Matthew, Applegate, Hua, Guo, Bret, Taback, Richard, Ha, Hanina, Hibshoosh, Christine, Hendon
Publikováno v:
Journal of Biomedical Optics. 27
Real-time histology can close a variety of gaps in tissue diagnostics. Currently, gross pathology analysis of excised tissue is dependent upon visual inspection and palpation to identify regions of interest for histopathological processing. Such anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cee09af8e3cb22d0f93c957710675b01
https://doi.org/10.1117/1.jbo.27.9.096003
https://doi.org/10.1117/1.jbo.27.9.096003
Autor:
Nisha Gandhi, Diana Mojahed, Margherita Firenze, Hua Guo, Hanina Hibshoosh, Richard Ha, Christine Hendon
Publikováno v:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XX.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::415c126e7382838bc030134d36326cfa
https://doi.org/10.1117/12.2610196
https://doi.org/10.1117/12.2610196
Autor:
Kaveri A. Thakoor, Ari Carter, Ge Song, Adam Wax, Omar Moussa, Royce W. S. Chen, Christine Hendon, Paul Sajda
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031185229
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d52492d134708879b97cf0e77cda62e
https://doi.org/10.1007/978-3-031-18523-6_15
https://doi.org/10.1007/978-3-031-18523-6_15
Publikováno v:
Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf22a690667b9c7dc2a84e35ce5ce0fe
https://doi.org/10.1364/oct.2022.cw1e.2
https://doi.org/10.1364/oct.2022.cw1e.2
Publikováno v:
Applied Optics. 61:4458
Optical coherence tomography (OCT) is being investigated in breast cancer diagnostics as a real-time histology evaluation tool. We present a customized deep convolutional neural network (CNN) for classification of breast tissues in OCT B-scans. Image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00943a4e3386e423007f1a74f0f5294
https://doi.org/10.1364/ao.455626
https://doi.org/10.1364/ao.455626