Zobrazeno 1 - 10
of 59
pro vyhledávání: '"X Sharon, Qi"'
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:1477-1487
Autor:
X. Sharon Qi, Kevin Albuquerque, Stephanie Bailey, Samantha Dawes, Rojano Kashani, Heng Li, Raymond H. Mak, Arno J. Mundt, Terence T. Sio
Publikováno v:
Practical Radiation Oncology. 13:97-111
This updated report on image guided radiation therapy (IGRT) is part of a series of consensus-based white papers previously published by the American Society for Radiation Oncology addressing patient safety. Since the first white papers were publishe
Autor:
Luca F. Valle, Dan Ruan, Audrey Dang, Rebecca G. Levin-Epstein, Ankur P. Patel, Joanne B. Weidhaas, Nicholas G. Nickols, Percy P. Lee, Daniel A. Low, X. Sharon Qi, Christopher R. King, Michael L. Steinberg, Patrick A. Kupelian, Minsong Cao, Amar U. Kishan
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Purpose: Dosimetric predictors of toxicity after Stereotactic Body Radiation Therapy (SBRT) are not well-established. We sought to develop a multivariate model that predicts Common Terminology Criteria for Adverse Events (CTCAE) late grade 2 or great
Externí odkaz:
https://doaj.org/article/60874e575f344154b3e7c2f6a065d3ec
Publikováno v:
Journal of Cancer Research and Clinical Oncology.
Publikováno v:
Artificial Intelligence in Radiation Therapy ISBN: 9780750333399
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e3ef89072d2e83a52b27412b354f08
https://doi.org/10.1088/978-0-7503-3339-9ch7
https://doi.org/10.1088/978-0-7503-3339-9ch7
Publikováno v:
Medical Physics. 48:7360-7371
Purpose To develop a novel method based on feature selection, combining convolutional neural network (CNN) and ensemble learning (EL), to achieve high accuracy and efficiency of glioma detection and segmentation using multiparametric MRIs. Methods We
Autor:
Xiaoyu, Liu, Jennifer, Zhang, Dan, Ruan, Amy S, Yu, Varun, Sehgal, X Sharon, Qi, Margaret C, Barker, Zhilei L, Shen, Steve, Goetsch
Publikováno v:
Journal of applied clinical medical physics, vol 23, iss 11
PurposeThis study aims to investigate practice changes among Southern and Northern California's radiation oncology centers during the COVID-19 pandemic.MethodsOn the online survey platform SurveyMonkey, we designed 10 survey questions to measure chan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc7c335c9b43a111d1adb68e39182e1
https://escholarship.org/uc/item/1bp424kd
https://escholarship.org/uc/item/1bp424kd
Autor:
Quan Chen, Yi Rong, Jay W. Burmeister, Edward H. Chao, Nathan A. Corradini, David S. Followill, X. Allen Li, An Liu, X. Sharon Qi, Hairong Shi, Jennifer B. Smilowitz
Publikováno v:
Medical physics.
Since the publication of AAPM Task Group (TG) 148 on quality assurance (QA) for helical tomotherapy, there have been many new developments on the tomotherapy platform involving treatment delivery, on-board imaging options, motion management, and trea
Publikováno v:
Physics in Medicine & Biology. 68:055018
Objective. Radiomics contains a large amount of mineable information extracted from medical images, which has important significance in treatment response prediction for personalized treatment. Radiomics analyses generally involve high dimensions and
Publikováno v:
Medical physicsREFERENCES. 48(11)
To develop a novel method based on feature selection, combining convolutional neural network (CNN) and ensemble learning (EL), to achieve high accuracy and efficiency of glioma detection and segmentation using multiparametric MRIs.We proposed an evol