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Fulvio Zaccagna

Showing results (51-60 of 74) with videos related to

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Scientific Reports|April 24, 2021
Investigating the relationship between diffusion kurtosis tensor imaging (DKTI) and histology within the normal human brainAhmed Maiter, Frank Riemer, Kieren Allinson, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 15, 2014
Non-small-cell lung cancer resectability: diagnostic value of PET/MRFrancesco Fraioli, Nicholas J Screaton, Samuel M Janes, et al.
Frontiers in Neurology|June 20, 2022
Neuroplasticity Mechanisms in Frontal Brain Gliomas: A Preliminary StudyMicaela Mitolo, Matteo Zoli, Claudia Testa, et al.
European Radiology|March 20, 2019
Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histologyFulvio Zaccagna, Frank Riemer, Andrew N Priest, et al.
Neuroimage|March 30, 2019
Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 TGuido Buonincontri, Laura Biagi, Alessandra Retico, et al.
Cancers|December 1, 2020
Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic MelanomaAndrew B Gill, Leonardo Rundo, Jonathan C M Wan, et al.
Journal of the Neurological Sciences|March 25, 2018
Imaging intralesional heterogeneity of sodium concentration in multiple sclerosis: Initial evidence from <sup>23</sup>Na-MRIJames T Grist, Frank Riemer, Mary A McLean, et al.
BJU International|September 22, 2021
Dynamic biomarker and imaging changes from a phase II study of pre- and post-surgical sunitinibSarah J Welsh, Nicola Thompson, Anne Warren, et al.
AJNR. American Journal of Neuroradiology|May 14, 2026
Elevated T<sub>max</sub> >4 Seconds Volume Predicts Worse Functional Outcome Following Endovascular Treatment in M2 Middle Cerebral Artery OcclusionIman Kiani, Alireza Kooshki, Hamza Adel Salim, et al.
European Journal of Radiology Open|September 16, 2024
Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approachElizabeth P V Le, Mark Y Z Wong, Leonardo Rundo, et al.
Pageof 8

Showing results (51-60 of 74) with videos related to

Sort By:
Pageof 8
Scientific Reports|April 24, 2021
Investigating the relationship between diffusion kurtosis tensor imaging (DKTI) and histology within the normal human brainAhmed Maiter, Frank Riemer, Kieren Allinson, et al.
European Journal of Nuclear Medicine and Molecular Imaging|August 15, 2014
Non-small-cell lung cancer resectability: diagnostic value of PET/MRFrancesco Fraioli, Nicholas J Screaton, Samuel M Janes, et al.
Frontiers in Neurology|June 20, 2022
Neuroplasticity Mechanisms in Frontal Brain Gliomas: A Preliminary StudyMicaela Mitolo, Matteo Zoli, Claudia Testa, et al.
European Radiology|March 20, 2019
Non-invasive assessment of glioma microstructure using VERDICT MRI: correlation with histologyFulvio Zaccagna, Frank Riemer, Andrew N Priest, et al.
Neuroimage|March 30, 2019
Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 TGuido Buonincontri, Laura Biagi, Alessandra Retico, et al.
Cancers|December 1, 2020
Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic MelanomaAndrew B Gill, Leonardo Rundo, Jonathan C M Wan, et al.
Journal of the Neurological Sciences|March 25, 2018
Imaging intralesional heterogeneity of sodium concentration in multiple sclerosis: Initial evidence from <sup>23</sup>Na-MRIJames T Grist, Frank Riemer, Mary A McLean, et al.
BJU International|September 22, 2021
Dynamic biomarker and imaging changes from a phase II study of pre- and post-surgical sunitinibSarah J Welsh, Nicola Thompson, Anne Warren, et al.
AJNR. American Journal of Neuroradiology|May 14, 2026
Elevated T<sub>max</sub> >4 Seconds Volume Predicts Worse Functional Outcome Following Endovascular Treatment in M2 Middle Cerebral Artery OcclusionIman Kiani, Alireza Kooshki, Hamza Adel Salim, et al.
European Journal of Radiology Open|September 16, 2024
Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approachElizabeth P V Le, Mark Y Z Wong, Leonardo Rundo, et al.
Pageof 8