Francesca Coppola

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Publications (8)

• Effectiveness of Radiomic ZOT Features in the Automated Discrimination of Oncocytoma from Clear Cell Renal Cancer
  Gianluca Carlini, Caterina Gaudiano, Rita Golfieri +21 more
  Journal of Personalized Medicine 2023 DOI: 10.3390/jpm13030478
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• Machine Learning Pipeline for the Automated Prediction of MicrovascularInvasion in HepatocellularCarcinomas
  Riccardo Biondi, Matteo Renzulli, Rita Golfieri +17 more
  Applied Sciences 2023 DOI: 10.3390/app13031371
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• Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions
  Cancers 2022 DOI: 10.3390/cancers14246156
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• Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer
  Giuseppe Filitto, Francesca Coppola, Nico Curti +19 more
  Cancers 2022 DOI: 10.3390/cancers14092231
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• Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT)
  Cancers 2022 DOI: 10.3390/cancers14071816
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• 3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study
  Medicina 2022 DOI: 10.3390/medicina58010086
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• Classification Performance for COVID Patient Prognosis from Automatic AI Segmentation—A Single-Center Study
  Applied Sciences 2021 DOI: 10.3390/app11125438
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• The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
  Diagnostics 2021 DOI: 10.3390/diagnostics11050795
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