Results 181 to 190 of about 638,439 (343)

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang   +5 more
wiley   +1 more source

Effects of pregnancy on neuromyelitis optica spectrum disorder and predictors of related attacks

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1918-1925, December 2022., 2022
Abstract Objective Our study aimed to investigate the influence of pregnancy on the course of neuromyelitis optica spectrum disorders (NMOSD) and to explore the independent predictors of pregnancy‐related attacks. Methods We performed a retrospective study of patients with NMOSD based on the Wingerchuk 2006 or the revised Wingerchuk 2015 criteria ...
Qin Du   +7 more
wiley   +1 more source

Education for IDPs: poor marks [PDF]

open access: yesForced Migration Review, 2005
Brookings Bern Project on Internal Displacement
doaj  

Assessing proton plans with three different beam delivery systems versus photon plans for head and neck tumors

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray   +9 more
wiley   +1 more source

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