Zobrazeno 1 - 4 of 4 pro vyhledávání: '"Hana Baroudi"'
1
Akademický článek
Automated contouring and statistical process control for plan quality in a breast clinical trial
Autor: Hana Baroudi, Callistus I. Huy Minh Nguyen, Sean Maroongroge, Benjamin D. Smith, Joshua S. Niedzielski, Simona F. Shaitelman, Adam Melancon, Sanjay Shete, Thomas J. Whitaker, Melissa P. Mitchell, Isidora Yvonne Arzu, Jack Duryea, Soleil Hernandez, Daniel El Basha, Raymond Mumme, Tucker Netherton, Karen Hoffman, Laurence Court
Publikováno v: Physics and Imaging in Radiation Oncology, Vol 28, Iss , Pp 100486- (2023)
Background and purpose: Automatic review of breast plan quality for clinical trials is time-consuming and has some unique challenges due to the lack of target contours for some planning techniques. We propose using an auto-contouring model and statis
Externí odkaz: https://doaj.org/article/b6b4823cd8cf4f7bada8d3d1c455fbbc
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2
Akademický článek
Synthetic Megavoltage Cone Beam Computed Tomography Image Generation for Improved Contouring Accuracy of Cardiac Pacemakers
Autor: Hana Baroudi, Xinru Chen, Wenhua Cao, Mohammad D. El Basha, Skylar Gay, Mary Peters Gronberg, Soleil Hernandez, Kai Huang, Zaphanlene Kaffey, Adam D. Melancon, Raymond P. Mumme, Carlos Sjogreen, January Y. Tsai, Cenji Yu, Laurence E. Court, Ramiro Pino, Yao Zhao
Publikováno v: Journal of Imaging, Vol 9, Iss 11, p 245 (2023)
In this study, we aimed to enhance the contouring accuracy of cardiac pacemakers by improving their visualization using deep learning models to predict MV CBCT images based on kV CT or CBCT images. Ten pacemakers and four thorax phantoms were include
Externí odkaz: https://doaj.org/article/bc25d1a54298439db150900bdb8b6edb
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3
Akademický článek
Automated Contouring and Planning in Radiation Therapy: What Is ‘Clinically Acceptable’?
Autor: Hana Baroudi, Kristy K. Brock, Wenhua Cao, Xinru Chen, Caroline Chung, Laurence E. Court, Mohammad D. El Basha, Maguy Farhat, Skylar Gay, Mary P. Gronberg, Aashish Chandra Gupta, Soleil Hernandez, Kai Huang, David A. Jaffray, Rebecca Lim, Barbara Marquez, Kelly Nealon, Tucker J. Netherton, Callistus M. Nguyen, Brandon Reber, Dong Joo Rhee, Ramon M. Salazar, Mihir D. Shanker, Carlos Sjogreen, McKell Woodland, Jinzhong Yang, Cenji Yu, Yao Zhao
Publikováno v: Diagnostics, Vol 13, Iss 4, p 667 (2023)
Developers and users of artificial-intelligence-based tools for automatic contouring and treatment planning in radiotherapy are expected to assess clinical acceptability of these tools. However, what is ‘clinical acceptability’? Quantitative and
Externí odkaz: https://doaj.org/article/40f5b47ffd174f79a5e76c244f198726
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