Results 221 to 230 of about 11,892,944 (395)
Les gares deviennent aujourd’hui un espace central dans nos vi(ll)es. Les flux d’usagers en font l’expérience routinière, c’est leur « train-train » quotidien. « Train-train » ? Comment se fait-il qu’on en soit venus à utiliser le mot « train », à l’origine plutôt symbole de mobilité, de vitesse et d’exploration, pour caractériser une routine monotone,
openaire
Facilitating 1.5T MR‐Linac adoption: Workflow strategies and practical tips
Abstract Background MR‐guided radiotherapy (MRgRT) offers new opportunities but also introduces workflow complexities requiring dedicated optimization. Implementing magnetic resonance linear accelerator (MR‐Linac) technology comes with challenges such as prolonged treatment times and workflow integration issues.
Madeline Michel+9 more
wiley +1 more source
Abstract Purpose Breast cancer is a neoplastic disease with high prevalence among women. Radiotherapy is one of the principal treatment modalities for this disease, but it poses significant challenges. This study aimed to compare and evaluate the technical and dosimetric performance of conventional C‐arm linac systems and a new design, Halcyon, in the ...
Mustafa Çağlar+8 more
wiley +1 more source
Hina Walia,1 Rita Banoub,1,2 Gregory S Cambier,1,2 Julie Rice,1 Dmitry Tumin,1 Joseph D Tobias,1,2 Vidya T Raman1,2 1Department of Anesthesiology & Pain Medicine, Nationwide Children’s Hospital, Columbus, OH, USA; 2Department of Anesthesiology &
Walia H+6 more
doaj
Assessment of a medical physics educational program for science teachers
Abstract Introduction Medical physics is a fulfilling profession where physics is applied to advance human health. However, many are uninformed of the role of physicists in medicine, and students are unaware of this career pathway. This study presents a pilot 1‐year program for science teachers to learn about physics in medicine and share with students
Ashley J. Cetnar+2 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien+8 more
wiley +1 more source
Relation of Child Training to Subsistence Economy1
Herbert Barry+2 more
openalex +1 more source