Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Baozhou, Sun"'
Autor:
Awusi Kavuma, DPhil, Solomon Kibudde, MMed (Rad), Matthew Schmidt, MSc, Tianyu Zhao, DPhil, Hiram Gay, MD, Benjamin Li, MD, Jeff Michalski, MD, Geoffrey Hugo, MD, Enkhtsetseg Vanchinbazar, MSc, Minjmaa Minjgee, MD, Erdenekhuu Nansalmaa, MD, Fred Ssewamala, DPhil, Angel Velarde, DPhil, Vicky De Fella, MD, Milton Ixquiac, DPhil, Lauren Henke, MD, Jacaranda van Rheenen, DPhil, Baozhou Sun, DPhil
Publikováno v:
Advances in Radiation Oncology, Vol 8, Iss 3, Pp 101180- (2023)
Purpose: There is a vital need to train radiation therapy professionals in low- and middle-income countries (LMICs) to develop sustainable cancer treatment capacity and infrastructure. LMICs have started to introduce intensity modulated radiation the
Externí odkaz:
https://doaj.org/article/56f7627dbdf24c0ebb5c1fa2bf6ceeef
Autor:
Joshua P. Schiff, MD, Tianyu Zhao, PhD, Yi Huang, MS, Baozhou Sun, PhD, Geoffrey D. Hugo, PhD, Matthew B. Spraker, MD, PhD, Christopher D. Abraham, MD
Publikováno v:
Advances in Radiation Oncology, Vol 8, Iss 1, Pp 101091- (2023)
Purpose: Herein we report the clinical and dosimetric experience for patients with metastases treated with palliative simulation-free radiation therapy (SFRT) at a single institution. Methods and Materials: SFRT was performed at a single institution.
Externí odkaz:
https://doaj.org/article/1d6d8b7781f94b0d9e38944a447ca0c5
Publikováno v:
Medical Physics. 49:5236-5243
Machine learning (ML) has been used to predict the gamma passing rate (GPR) of intensity-modulated radiation therapy (IMRT) QA results. In this work, we applied a novel neural architecture search to automatically tune and search for the best deep neu
Autor:
Matthew C, Schmidt, Christopher D, Abraham, Jiayi, Huang, Clifford G, Robinson, Geoffrey, Hugo, Nels C, Knutson, Baozhou, Sun, Chipo, Raranje, Erno, Sajo, Piotr, Zygmanski, Marian, Jandel, Peter, Szentivanyi, Jessica, Hilliard, Jessica, Hamilton, Francisco J, Reynoso
Publikováno v:
Journal of Applied Clinical Medical Physics. 24
Determine the dosimetric quality and the planning time reduction when utilizing a template-based automated planning application.A software application integrated through the treatment planning system application programing interface, QuickPlan, was d
Autor:
Joshua P. Schiff, Tianyu Zhao, Yi Huang, Baozhou Sun, Geoffrey D. Hugo, Matthew B. Spraker, Christopher D. Abraham
Publikováno v:
Advances in radiation oncology. 8(1)
Herein we report the clinical and dosimetric experience for patients with metastases treated with palliative simulation-free radiation therapy (SFRT) at a single institution.SFRT was performed at a single institution. Multiple fractionation regimens
Autor:
Sreekrishna Murty Goddu, Gregory T. Westphal, Baozhou Sun, Yu Wu, Charles D. Bloch, Jeffrey D. Bradley, Arash Darafsheh
Publikováno v:
Medical physicsREFERENCES. 49(9)
With the emergence of more complex and novel proton delivery techniques, there is a need for quality assurance tools with high spatiotemporal resolution to conveniently measure the spatial and temporal properties of the beam. In this context, scintil
Autor:
Michael Paul Barnes, Baozhou Sun, Brad Michael Oborn, Bishnu Lamichhane, Stuart Szwec, Matthew Schmidt, Bin Cai, Frederick Menk, Peter Greer
Publikováno v:
Journal of Applied Clinical Medical Physics. 23
The EPID PSM is a useful EPID calibration method for QA applications. The dependence of the EPID PSM on the photon beam used to acquire it has been investigated in this study for the four available PSM methods. The aim is to inform upon the viability
Autor:
Maria Jose Medrano Matamoros, Xinyuan Chen, Tao Ge, Tianyu Zhao, Rui Liao, David G. Politte, Jeffrey F. Willamson, Bruce R. Whiting, Yao Hao, Baozhou Sun, Joseph A. O'Sullivan
Publikováno v:
Medical Imaging 2022: Physics of Medical Imaging.
Autor:
Vivian Rodriguez, Bin Cai, H. Harold Li, Michael T. Prusator, Geoffrey D. Hugo, Taeho Kim, Baozhou Sun, A. Price, Francisco J. Reynoso, Jacqueline E. Zoberi, Tianyu Zhao, Olga Green, J. Kavanaugh, Nels C. Knutson
Publikováno v:
Journal of Applied Clinical Medical Physics
Publikováno v:
Medical Physics. 48:227-237
Purpose: The research is to develop a novel CNN-based adversarial deep learning method to improve and expedite the multi-organ semantic segmentation of CT images, and to generate accurate contours on pelvic CT images. Methods: Planning CT and structu