Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rafe McBeth"'
Autor:
Maryam Mashayekhi, Rafe McBeth, Dan Nguyen, Allen Yen, Zipalkumar Trivedi, Dominic Moon, Vlad Avkshtol, Dat Vo, David Sher, Steve Jiang, Mu-Han Lin
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 40, Iss , Pp 100616- (2023)
Externí odkaz:
https://doaj.org/article/e0ff8c8d4b6046bc978070beaa6f0541
Autor:
Qiyuan An, Rafe McBeth, Houliang Zhou, Bryan Lawlor, Dan Nguyen, Steve Jiang, Mark S. Link, Yingying Zhu
Publikováno v:
Sensors, Vol 22, Iss 11, p 4058 (2022)
Atrial fibrillation (AF) is a common cardiac arrhythmia and affects one to two percent of the population. In this work, we leverage the three-dimensional atrial endocardial unipolar/bipolar voltage map to predict the AF type and recurrence of AF in 1
Externí odkaz:
https://doaj.org/article/fd6bcc13c510415f932a807a5d1a33cf
Autor:
Neel Shah, Abdelaziz Farhat, Jefferson Tweed, Ziheng Wang, Jeon Lee, Rafe McBeth, Michael Skinner, Fenghua Tian, Ravi Thiagarajan, Lakshmi Raman
Publikováno v:
Journal of Clinical Medicine, Vol 9, Iss 9, p 2718 (2020)
Brain injury is a significant source of morbidity and mortality for pediatric patients treated with Extracorporeal Membrane Oxygenation (ECMO). Our objective was to utilize neural networks to predict radiographic evidence of brain injury in pediatric
Externí odkaz:
https://doaj.org/article/2f676497b6dd492f8c77742bd8ba72b4
Autor:
Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad Barkousaraie, Rafe McBeth, Mu‐Han Lin, Steve Jiang, Dan Nguyen
Publikováno v:
Med Phys
PURPOSE: Typically, the current dose prediction models are limited to small amounts of data and require re-training for a specific site, often leading to suboptimal performance. We propose a site-agnostic, three dimensional dose distribution predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49ad655d0add0ff97ebfde3da080666f
https://europepmc.org/articles/PMC9870295/
https://europepmc.org/articles/PMC9870295/
Autor:
Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve Jiang
Publikováno v:
Radiol Artif Intell
PURPOSE: To present a concept called artificial intelligence–assisted contour editing (AIACE) and demonstrate its feasibility. MATERIALS AND METHODS: The conceptual workflow of AIACE is as follows: Given an initial contour that requires clinician e
Autor:
Rafe McBeth, Steve B. Jiang, Anjali Balagopal, Gyanendra Bohara, Mu-Han Lin, Dan Nguyen, Azar Sadeghnejad Barkousaraie
Publikováno v:
Phys Med Biol
Recently, artificial intelligence technologies and algorithms have become a major focus for advancements in treatment planning for radiation therapy. As these are starting to become incorporated into the clinical workflow, a major concern from clinic
Autor:
Michael A Skinner, Fenghua Tian, Lakshmi Raman, Rafe McBeth, Jeon Lee, Neel Shah, Jefferson Tweed, Abdelaziz Farhat, Ravi R. Thiagarajan, Ziheng Wang
Publikováno v:
Journal of Clinical Medicine
Journal of Clinical Medicine, Vol 9, Iss 2718, p 2718 (2020)
Volume 9
Issue 9
Journal of Clinical Medicine, Vol 9, Iss 2718, p 2718 (2020)
Volume 9
Issue 9
Brain injury is a significant source of morbidity and mortality for pediatric patients treated with Extracorporeal Membrane Oxygenation (ECMO). Our objective was to utilize neural networks to predict radiographic evidence of brain injury in pediatric
Autor:
Rafe McBeth, Nan Qin, Dan Nguyen, Xun Jia, Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang
Publikováno v:
Med Phys
PURPOSE In the treatment planning process of intensity-modulated radiation therapy (IMRT), a human planner operates the treatment planning system (TPS) to adjust treatment planning parameters, for example, dose volume histogram (DVH) constraints' loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54c11b09470dce08fc67066eb1d15835
https://europepmc.org/articles/PMC7903320/
https://europepmc.org/articles/PMC7903320/
Autor:
Azar Sadeghnejad Barkousaraie, Chenyang Shen, Rafe McBeth, Gyanendra Bohara, Xun Jia, Steve B. Jiang, Dan Nguyen
Publikováno v:
Med Phys
PURPOSE: We propose a novel domain specific loss, which is a differentiable loss function based on the dose volume histogram, and combine it with an adversarial loss for the training of deep neural networks. In this study, we trained a neural network
Autor:
Thomas B. Borak, Rafe McBeth
Publikováno v:
Life sciences in space research. 18
Measurements of the incident fluence of HZE particles, as a function of LET, are used to determine absorbed dose as well as Quality Factors for assigning risk estimates to astronauts during manned space missions. These data are often based on thin so