Results 261 to 270 of about 8,588,542 (339)

JACMP – Founding and 2000–2004

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

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen   +3 more
wiley   +1 more source

Clinicopathological and diagnostic imaging findings in a dog with neurocandidiasis. [PDF]

open access: yesJ Vet Intern Med
Royaux E   +4 more
europepmc   +1 more source

JACMP 2020–2024

open access: yes
Journal of Applied Clinical Medical Physics, EarlyView.
Susan L. Richardson
wiley   +1 more source

Effects of simultaneous multislice acceleration on the stability of radiomics features in parametric maps of IVIM and DKI in uterine cervical cancer

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai   +6 more
wiley   +1 more source

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

open access: yesJournal 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   +11 more
wiley   +1 more source

Diagnostic image‐based treatment planning for online adaptive ultra‐hypofractionated prostate cancer radiotherapy with MR‐Linac

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose A new workflow was investigated for Elekta Unity MR‐Linac by removing the computed tomography (CT)‐simulation step and using diagnostic CT (DCT) for reference plan generation. Materials and methods Ten patients with ultra‐hypofractionated prostate cancer treated with magnetic resonance imaging (MRI)‐guided adaptive radiotherapy were ...
Yuan Xu   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy