Results 151 to 160 of about 2,127,671 (356)

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

A Lagrangian relationship between the PST and the Sen formulations of chiral forms [PDF]

arXiv
In this paper, we show the equivalence between the PST and Sen formulations for chiral forms at the Lagrangian level. This is by discussing how an action in the Sen formulation for chiral forms can be separated into two PST actions, one with the correct sign the other has the wrong sign, reflecting the feature of the Sen formulation that it contains ...
arxiv  

Practical experience in commissioning ring applicators using ring applicator component type with bravos control software v1.2

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The Bravos v1.2 control software introduces a ring applicator component type (ACT) with channel length verification to address geometric characteristics and dosimetric discrepancies caused by source positioning inaccuracies. This study aims to commission the ring applicator and investigate the new ring ACT in Bravos 1.2.
Xiuxiu He, Michael A. Trager, Gil'ad N. Cohen, Antonio L. Damato, David Aramburu Núñez   +4 more
wiley   +1 more source

QCD and Nuclear Physics. How to Explain the Coincidence Between the Action Radius of Nuclear Forces and the Characteristic Scale of the Neutron-Neutron Electrostatic Interaction? [PDF]

, 2015
A. Godizov
openalex   +1 more source

Towards precision charm physics with a mixed action

, 2022
Alessandro Conigli, Julien Frison, Gregorio Herdoíza, Carlos Pena, Alejandro Sáez, Javier Ugarrio   +5 more
openalex   +2 more sources

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

Position‐dependent offset corrections for ring applicator reconstruction in cervical cancer brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Due to the tight curvature in their design, ring applicators are usually associated with large positioning errors. The standard practice to correct for these deviations based on global offsets may not be sufficient to comply with the recommended tolerance.
Leon G. Aldrovandi, Matthias E. T. Dessein, Shelley M. Pearson, Shelley M. Bulling   +3 more
wiley   +1 more source

BreastWatch: A Varian Eclipse script tool for Community‐Based automatic evaluation of breast treatment plans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work introduces BreastWatch, a Varian Eclipse script tool designed to help medical physicists, dosimetrists, and radiation oncologists easily inspect and improve External Beam Breast Treatment (EBBT) plans using automatic evaluation of protocol dose‐constraints enhanced by a Community‐Based approach.
Stefano Agostinelli, Daniele Zefiro, Stefania Garelli, Francesca Cavagnetto, Marco Gusinu, Monica Bevegni, Gladys Blandino, Alessandra Fozza, Fabrizio Levrero   +8 more
wiley   +1 more source

JACMP 2025–2029 and beyond

Journal of Applied Clinical Medical Physics, EarlyView.
Michael Mills
wiley   +1 more source

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler, Jason Luce, Mathias Lehmann, John C. Roeske, Hyejoo Kang   +4 more
wiley   +1 more source