Showing results (11-20 of 22) with videos related to
Sort By:
Pageof 3
Molecules (Basel, Switzerland)|November 14, 2023
The Influence of Chirality on the β-Amino-Acid Naphthalenediimides/G-Quadruplex DNA InteractionSamuel R Clowes, Yusuf Ali, Olivia R Astley, et al.Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 20, 2024
Explainable deep learning-based survival prediction for non-small cell lung cancer patients undergoing radical radiotherapyJoshua R Astley, James M Reilly, Stephen Robinson, et al.Medical Physics|March 18, 2023
A hybrid model- and deep learning-based framework for functional lung image synthesis from multi-inflation CT and hyperpolarized gas MRIJoshua R Astley, Alberto M Biancardi, Helen Marshall, et al.Physical Review Letters|November 13, 2007
Energy-dependent tunneling from few-electron dynamic quantum dotsM R Astley, M Kataoka, C J B Ford, et al.Journal of Magnetic Resonance Imaging : JMRI|November 14, 2022
A Dual-Channel Deep Learning Approach for Lung Cavity Estimation From Hyperpolarized Gas and Proton MRIJoshua R Astley, Alberto M Biancardi, Helen Marshall, et al.Radiology. Cardiothoracic Imaging|June 18, 2026
Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using 129Xe and 1H MRIJoshua R Astley, Helen Marshall, Laurie J Smith, et al.Physical Review Letters|June 13, 2009
Coherent time evolution of a single-electron wave functionM Kataoka, M R Astley, A L Thorn, et al.Scientific Reports|June 22, 2022
Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRIJoshua R Astley, Alberto M Biancardi, Paul J C Hughes, et al.Scientific Reports|July 12, 2023
PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilationJoshua R Astley, Alberto M Biancardi, Helen Marshall, et al.Thorax|May 27, 2025
129Xe-MRI ventilation and acinar abnormalities highlight the significance of spirometric dysanapsis: findings from the NOVELTY ADPro UK substudyLaurie J Smith, Helen Marshall, Demi Jakymelen, et al.Pageof 3