Results 191 to 200 of about 5,319,811 (358)

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith   +8 more
wiley   +1 more source

UA25/2 Retirement Banquet [PDF]

open access: yes, 1987
Program for WKU retirement banquet with list of ...
WKU Human Resources
core   +1 more source

Global Human Resources

open access: yes, 2013
Most of the management functions that are referred to as “human resource management” in the early 21st century have been around in various forms since the beginning of the Industrial Revolution. In the early years, as business organizations grew in size and importance, the first of these functions—such as payroll, safety, company stores, and hiring ...
openaire   +1 more source

Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The FLASH effect, induced by ultra‐high dose rate (UHDR) irradiations, offers the potential to spare normal tissue while effectively treating tumors. It is important to achieve precise and accurate dose delivery and to establish reliable detector systems, particularly for clinical trials needed to help the clinical transfer of FLASH‐
Patrik Gonçalves Jorge   +9 more
wiley   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang   +2 more
wiley   +1 more source

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