Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net
2020 · Scientific Reports · 133 citations
https://doi.org/10.1038/s41598-020-71080-0
F
Federico Biavati
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Federico Biavati is an academic researcher from Humboldt-Universität zu Berlin. The author has contributed to research in topics: Cardiac Imaging and Diagnostics & Coronary Interventions and Diagnostics & Advanced X-ray and CT Imaging. The author has an h-index of 7, co-authored 15 publications.
ORCID: 0000-0002-3558-3408Papers by this author
worksClinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group
2023 · Nature Reviews Cardiology · 97 citations
https://doi.org/10.1038/s41569-023-00880-4
Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries
2023 · Nature Reviews Cardiology · 87 citations
https://doi.org/10.1038/s41569-023-00900-3
Automated segment-level coronary artery calcium scoring on non-contrast CT: a multi-task deep-learning approach
2024 · Insights into Imaging · 8 citations
https://doi.org/10.1186/s13244-024-01827-0
Final-year medical students’ perspective: a survey on the use of computed tomography in sepsis
2023 · Insights into Imaging · 2 citations
https://doi.org/10.1186/s13244-023-01538-y
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