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David J Collins

Showing results (121-130 of 178) with videos related to

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Journal of Applied Clinical Medical Physics|March 17, 2017
Lung volume reproducibility under ABC control and self-sustained breath-holdingEvangelia Kaza, Alex Dunlop, Rafal Panek, et al.
Analytical Chemistry|May 11, 2013
The observation of dianions generated by electrochemical reduction of trans-stilbenes in ionic liquids at room temperatureOmar Abdul-Rahim, Alexandr N Simonov, Thomas Rüther, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|June 26, 2025
Tuneable Hydrogel Porosity via Dynamic Tailoring of Spinodal DecompositionMichael Halwes, Callum Vidler, Lilith Caballero Aguilar, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 24, 2006
Inter- and intraobserver variability in the evaluation of dynamic breast cancer MRIMark J Beresford, Anwar R Padhani, N Jane Taylor, et al.
BMC Nephrology|October 8, 2016
Modulation of renal oxygenation and perfusion in rat kidney monitored by quantitative diffusion and blood oxygen level dependent magnetic resonance imaging on a clinical 1.5T platformNeil P Jerome, Jessica K R Boult, Matthew R Orton, et al.
Radiology. Artificial Intelligence|October 7, 2021
Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image FiltersKonstantinos Zormpas-Petridis, Nina Tunariu, Andra Curcean, et al.
Radiology|January 31, 2014
Whole-body diffusion-weighted MR imaging for assessment of treatment response in myelomaSharon L Giles, Christina Messiou, David J Collins, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 7, 2007
Design and development of a prototype endocavitary probe for high-intensity focused ultrasound delivery with integrated magnetic resonance imagingIain P Wharton, Ian H Rivens, Gail R Ter Haar, et al.
The British Journal of Radiology|May 18, 2016
Arterial input functions in dynamic contrast-enhanced magnetic resonance imaging: which model performs best when assessing breast cancer response?David K Woolf, N Jane Taylor, Andreas Makris, et al.
Frontiers in Oncology|October 26, 2019
Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue SarcomaMatthew D Blackledge, Jessica M Winfield, Aisha Miah, et al.
Pageof 18

Showing results (121-130 of 178) with videos related to

Sort By:
Pageof 18
Journal of Applied Clinical Medical Physics|March 17, 2017
Lung volume reproducibility under ABC control and self-sustained breath-holdingEvangelia Kaza, Alex Dunlop, Rafal Panek, et al.
Analytical Chemistry|May 11, 2013
The observation of dianions generated by electrochemical reduction of trans-stilbenes in ionic liquids at room temperatureOmar Abdul-Rahim, Alexandr N Simonov, Thomas Rüther, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|June 26, 2025
Tuneable Hydrogel Porosity via Dynamic Tailoring of Spinodal DecompositionMichael Halwes, Callum Vidler, Lilith Caballero Aguilar, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 24, 2006
Inter- and intraobserver variability in the evaluation of dynamic breast cancer MRIMark J Beresford, Anwar R Padhani, N Jane Taylor, et al.
BMC Nephrology|October 8, 2016
Modulation of renal oxygenation and perfusion in rat kidney monitored by quantitative diffusion and blood oxygen level dependent magnetic resonance imaging on a clinical 1.5T platformNeil P Jerome, Jessica K R Boult, Matthew R Orton, et al.
Radiology. Artificial Intelligence|October 7, 2021
Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image FiltersKonstantinos Zormpas-Petridis, Nina Tunariu, Andra Curcean, et al.
Radiology|January 31, 2014
Whole-body diffusion-weighted MR imaging for assessment of treatment response in myelomaSharon L Giles, Christina Messiou, David J Collins, et al.
Journal of Magnetic Resonance Imaging : JMRI|February 7, 2007
Design and development of a prototype endocavitary probe for high-intensity focused ultrasound delivery with integrated magnetic resonance imagingIain P Wharton, Ian H Rivens, Gail R Ter Haar, et al.
The British Journal of Radiology|May 18, 2016
Arterial input functions in dynamic contrast-enhanced magnetic resonance imaging: which model performs best when assessing breast cancer response?David K Woolf, N Jane Taylor, Andreas Makris, et al.
Frontiers in Oncology|October 26, 2019
Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue SarcomaMatthew D Blackledge, Jessica M Winfield, Aisha Miah, et al.
Pageof 18