Quantifying normal human brain metabolism using hyperpolarized [1–13C]pyruvate and magnetic resonance imaging
2019 · NeuroImage · 175 citations
https://doi.org/10.1016/j.neuroimage.2019.01.027
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Fulvio Zaccagna
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Fulvio Zaccagna is an academic researcher from University of Oxford. The author has contributed to research in topics: Advanced MRI Techniques and Applications & Cerebrovascular and Carotid Artery Diseases & MRI in cancer diagnosis. The author has an h-index of 29, co-authored 116 publications.
ORCID: 0000-0001-6838-9532Papers by this author
worksConvolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives
2022 · Diagnostics · 135 citations
https://doi.org/10.3390/diagnostics12081850
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
2022 · Journal of Imaging · 133 citations
https://doi.org/10.3390/jimaging8080205
Whole-Tumor Perfusion CT in Patients with Advanced Lung Adenocarcinoma Treated with Conventional and Antiangiogenetic Chemotherapy: Initial Experience
2011 · Radiology · 80 citations
https://doi.org/10.1148/radiol.11100600
Investigating the relationship between diffusion kurtosis tensor imaging (DKTI) and histology within the normal human brain
2021 · Scientific Reports · 26 citations
https://doi.org/10.1038/s41598-021-87857-w
Evaluation of the sensitivity of R1ρ MRI to pH and macromolecular density
2019 · Magnetic Resonance Imaging · 12 citations
https://doi.org/10.1016/j.mri.2019.02.004
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