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Deborah Fazzini

Observed names: D. Fazzini, Fazzini, Deborah, deborah fazzini
ORCID: 0009-0000-8513-6254
Observed ORCID: 0009-0000-8513-6254
OpenAlex ID: A5022876491
Digital Twins: The New Frontier for Personalized Medicine?
2023 · Michaela Cellina, Maurizio Cè, et al. · Applied Sciences · 198
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AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
2021 · Paolo Soda, Natascha Claudia D’Amico, et al. · Medical Image Analysis · 95
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Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis—a narrative review
2022 · Maurizio Cè, Elena Caloro, et al. · Exploration of Targeted Anti-tumor Therapy · 59
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Radiologists’ perceptions on AI integration: An in-depth survey study
2024 · Maurizio Cè, Simona Ibba, et al. · European Journal of Radiology · 53
Teeth Segmentation in Panoramic Dental X-ray Using Mask Regional Convolutional Neural Network
2023 · Giulia Rubiu, Marco Bologna, et al. · Applied Sciences · 53
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Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus
2022 · Veronica Magni, Matteo Interlenghi, et al. · Radiology Artificial Intelligence · 44
Multimodal explainability via latent shift applied to COVID-19 stratification
2024 · Valerio Guarrasi, Lorenzo Tronchin, et al. · Pattern Recognition · 38
Decoding Radiomics: A Step-by-Step Guide to Machine Learning Workflow in Hand-Crafted and Deep Learning Radiomics Studies
2024 · Maurizio Cè, Marius Dumitru Chiriac, et al. · Diagnostics · 30
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A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI
2020 · Natascha C. D’Amico, Enzo Grossi, et al. · European Radiology Experimental · 28
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Structured Transformation of Unstructured Prostate MRI Reports Using Large Language Models
2025 · Luca Di, Fatemeh Darvizeh, et al. · Tomography · 14
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Machine learning predicts pulmonary Long Covid sequelae using clinical data
2024 · Ermanno Cordelli, Paolo Soda, et al. · BMC Medical Informatics and Decision Making · 13
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XGeM: A multi-prompt foundation model for multimodal medical data generation
2026 · Daniele Molino, Francesco Di Feola, et al. · Computerized Medical Imaging and Graphics · 10
Exploring UNet-based models for prostate lesion segmentation from multi-sequence MRI (T2W, ADC, DWI)
2025 · Saman Fouladi, Fatemeh Darvizeh, et al. · World Wide Web · 8
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Adoption of AI in Oncological Imaging: Ethical, Regulatory, and Medical-Legal Challenges
2023 · Marco Ali, Arianna Fantesini, et al. · Critical Reviews™ in Oncogenesis · 8
Tackling imbalance radiomics in acoustic neuroma
2019 · Natascha Claudia D', N.A. Amico, et al. · International Journal of Data Mining and Bioinformatics · 8
Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging
2025 · Saman Fouladi, Luca Di Palma, et al. · Information · 7
A Decision Support System Based on BI-RADS and Radiomic Classifiers to Reduce False Positive Breast Calcifications at Digital Breast Tomosynthesis: A Preliminary Study
2021 · Marco Alì, Natascha Claudia D’Amico, et al. · Applied Sciences · 7
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Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study
2018 · Natascha Claudia DrAmico, Rosa Sicilia, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 5
Detection of dental restorations and prosthesis devices in panoramic dental X-ray using fast region-based convolutional neural network
2025 · Martina Benvenuto, Marco Bologna, et al. · Dentomaxillofacial Radiology · 4
Exploring the Limitations of Virtual Contrast Prediction in Brain Tumor Imaging: A Study of Generalization Across Tumor Types and Patient Populations
2025 · Alice Natalina Caragliano, Anna Macula, et al. · NMR in Biomedicine · 4
Advanced Prostate MRI Analysis: UNET-Based Models for Zonal and Lesion Segmentation
2025 · Saman Fouladi, Gabriele Gianini, et al. · Communications in computer and information science · 4
Early radiomics experiences in predicting CyberKnife response in acoustic neuroma
2019 · Natascha Claudia D'Amico, Rosa Sicilia, et al. · ACM SIGBioinformatics Record · 4
Voice to the Patients: What do they really think about the use of AI by radiologists? A Focus Group study
2023 · Marco Alì, Chiara Tancredi, et al. · 2
Cross Modality Image Translation In Medical Imaging Using Generative Frameworks
2026 · Romoli, Giulia, Ruffini, Filippo, et al. · arXiv (Cornell University) · 1
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Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data
2025 · Ermanno Cordelli, Paolo Soda, et al. · BMC Medical Informatics and Decision Making · 1
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Works count: 50
Citation count: 699
H-index: 11
I10-index: 12
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