Results 241 to 250 of about 11,564,095 (404)

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

Journal 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, Isabelle Gagne, Karl Otto, Carter Kolbeck, Joshua Giambattista, Abraham Alexander, Sonja Murchison, Andrew Pritchard, Erika Chin   +8 more
wiley   +1 more source

Two-stage multiple imputation with a longitudinal composite variable. [PDF]

BMC Med Res Methodol
Wang X, Larson MG, Liu C.
europepmc   +1 more source

A Brief Survey of Variables That Influence Random-Generation [PDF]

, 1964
G. S. Tune
openalex   +1 more source

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

Journal 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, Reiner Geyer, Rémy Kinj, Luis Schiappacasse, Wendy Jeanneret‐Sozzi, Jean Bourhis, Fernanda Herrera, François Bochud, Claude Bailat, Raphaël Moeckli   +9 more
wiley   +1 more source

A Novel approach to ship valuation prediction: An application to the supramax and ultramax secondhand markets. [PDF]

PLoS One
Bal ET, Akan E, Gencer H.
europepmc   +1 more source

A two-dimensional operator identity with application to the change of sign in sums of random variables [PDF]

, 1960
Glen Baxter
openalex   +1 more source

UR‐cycleGAN: Denoising full‐body low‐dose PET images using cycle‐consistent Generative Adversarial Networks

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to develop a CycleGAN based denoising model to enhance the quality of low‐dose PET (LDPET) images, making them as close as possible to standard‐dose PET (SDPET) images. Methods Using a Philips Vereos PET/CT system, whole‐body PET images of fluorine‐18 fluorodeoxyglucose (18F‐FDG) were acquired from 37 patients to ...
Yang Liu, ZhiWu Sun, HaoJia Liu
wiley   +1 more source

Machine learning predicts prognosis in patients with gastroenteropancreatic neuroendocrine tumors with liver metastases. [PDF]

Discov Oncol
Gao F, Chen J, Xu X.
europepmc   +1 more source

A Convexity Property in the Theory of Random Variables Defined on a Finite Markov Chain [PDF]

, 1961
H. D. Miller
openalex   +1 more source

Localization accuracy of 6‐second CBCT for lung IGRT with various breathing patterns

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The 6‐second cone beam computed tomography (CBCT) acquisition of the Ethos HyperSight (Varian Medical Systems, Inc. Palo Alto, CA, USA) on‐board imaging system offers benefits, but could be too fast to accurately capture an average target position in a free‐breathing lung cancer patient. This study aimed to ascertain whether a 6‐second
Jihye Koo, Gage Redler, Vladimir Semenenko, Stephen A. Rosenberg, Emily Keit, Jacqueline M. Andreozzi   +5 more
wiley   +1 more source