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Alice Fantazzini

Observed names: A Fantazzini, FANTAZZINI, ALICE, Fantazzini, Alice
ORCID: 0000-0001-5688-9003
Observed ORCID: 0000-0001-5688-9003
OpenAlex ID: A5027729180
3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks
2020 · Alice Fantazzini, Mario Esposito, et al. · Cardiovascular Engineering and Technology · 97
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Deep Learning to Automatically Segment and Analyze Abdominal Aortic Aneurysm from Computed Tomography Angiography
2022 · Francesca Brutti, Alice Fantazzini, et al. · Cardiovascular Engineering and Technology · 55
Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography
2023 · Giovanni Spinella, Alice Fantazzini, et al. · Journal of Imaging Informatics in Medicine · 32
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A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models
2022 · Elena Vincenzi, Alice Fantazzini, et al. · Respiratory Research · 30
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Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks
2024 · Ariel Fernando Pascaner, Antonio Rosato, et al. · Journal of Imaging Informatics in Medicine · 9
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A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis
2024 · Elena Vincenzi, Martina Buccardi, et al. · Journal of Translational Medicine · 6
An Automatic Tool Performing Functional Analysis in MR Urography in Children
2023 · Elena Vincenzi, Alice Fantazzini, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 2
Impact of CT Acquisition Parameters on Deep Learning of Aortic Segmentation Performance: Systematic Review
2026 · Erika Spinella, Marco Magliocco, et al. · Journal of Imaging Informatics in Medicine · 1
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From Aneurysms to Dissections: A Transfer Learning Approach for CTA Segmentation
2025 · Marco Magliocco, Curzio Basso, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 1
Fully Automated Assessment of Post-TEVAR Follow-Up CT Scan Using Deep Learning–Based Segmentation
2026 · Giovanni Spinella, Marco Magliocco, et al. · Annals of Vascular Surgery
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Diagnostic performance of a deep learning-based tool for the detection and staging of rectal cancers on endoscopic ultrasound examinations: a pilot study
2026 · A Montale, M Valvano, et al. · Endoscopy
Acnmd26-130: Diagnostic Performance of a Deep Learning-based Tool for the Detection and Staging of Rectal Cancers on Endoscopic Ultrasound Examinations: a Pilot Study
2026 · Amedeo Montale, Marco Valvano, et al. · Digestive and Liver Disease
Wcn26-7850 Long Short-term Memory Network for Predicting Hypotensive Episodes in Aki Patients Undergoing Ckrt With Transfer Learning Approach From Adult to Pediatric Patients
2026 · Edoardo La Porta, Stefania Bianzina, et al. · Kidney International Reports
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Works count: 15
Citation count: 233
H-index: 6
I10-index: 4
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