Angela Ammirabile

Humanitas University — Italy

Medicine · Health Sciences

12h-index299citations53works1.92yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(33), Advanced X-ray and CT Imaging(16), COVID-19 diagnosis using AI(10), Radiation Dose and Imaging(8), Medical Imaging and Analysis(7)

Publications53 total

Radiomics as a visual tool with potential clinical implications: A comment on the implementation of habitat radiomics in a liver cancer series
Translational Oncology·2025Open Access
Impact of Diffusion‐Weighted Magnetic Resonance Imaging Parameters on Diagnostic Accuracy for Thyroid Nodules: A Systematic Review and Meta‐Analysis
Journal of Magnetic Resonance Imaging·2025Open Access
Sarcopenia and Myosteatosis as a Predictor of Post-Operative Outcomes in Patients Undergoing Laparotomy for Abdominal Emergencies
Journal of Clinical Medicine·2025· 1 citedOpen Access
Intraoperative hepatic ultrasonography in patients with gastrointestinal and pancreatic neuroendocrine neoplasms without preoperative evidence of liver metastases
Journal of Neuroendocrinology·2025Open Access
Explanation and Elaboration with Examples for METRICS (METRICS-E3): an initiative from the EuSoMII Radiomics Auditing Group
Insights into Imaging·2025· 5 citedOpen Access
New perspectives in biology-driven treatment of cholangiocarcinoma: from oncological resectability to genetic breakthroughs and AI-powered imaging
HepatoBiliary Surgery and Nutrition·2025Open Access
MRI-based radiomics predicts the pathologic response of colorectal liver metastases to systemic therapy: A multicenter study
European Journal of Radiology·2025· 1 citedOpen Access
347P Liquid biopsy for longitudinal molecular characterization of patients (pts) with biliary tract cancer (BTC)
Annals of Oncology·2025Open Access
Meta-analysis of AI-based pulmonary embolism detection: How reliable are deep learning models?
Computers in Biology and Medicine·2025· 2 cited
302: MRI-BASED CLINICAL-RADIOMICS ANALYSES OF COLORECTAL LIVER METASTASES TO PREDICT TUMOR GROWTH PATTERNS BY MACHINE LEARNING APPROACH.
Gastroenterology·2025
1250: PREDICTION OF NODAL STATUS ON PREOPERATIVE MRI FOR PATIENTS WITH INTRAHEPATIC CHOLANGIOCARCINOMA: AN APPARENT DIFFUSION COEFFICIENT-BASED MACHINE LEARNING MODEL
Gastroenterology·2025
Anatomic sub-segmentectomy with single-session combined transcatheter arterial embolization/microwave ablation for the treatment of hepatocellular carcinoma: preliminary results
Abdominal Radiology·2025
Mri-based clinical-radiomics analyses of colorectal liver metastases to predict tumor growth patterns by machine learning approach
Digestive and Liver Disease·2025
Long-term efficacy and catheter choice in male varicocele embolization using NBCA-MS glue
International Urology and Nephrology·2024· 1 cited
CT-radiomics and pathological tumor response to systemic therapy: A predictive analysis for colorectal liver metastases. Development and internal validation of a clinical-radiomic model
European Journal of Surgical Oncology·2024· 3 cited
A reference framework for standardization and harmonization of CT radiomics features on cadaveric sample
Scientific Reports·2024· 2 citedOpen Access
Prognostic value of CT findings for conservative treatment failure in adhesive small bowel obstruction
Emergency Radiology·2024· 4 cited
Radiomic Gradient in Peritumoural Tissue of Liver Metastases: A Biomarker for Clinical Practice? Analysing Density, Entropy, and Uniformity Variations with Distance from the Tumour
Diagnostics·2024· 3 citedOpen Access
CT-based radiogenomics of intrahepatic cholangiocarcinoma
Digestive and Liver Disease·2024· 2 citedOpen Access
nnU-Net-based deep-learning for pulmonary embolism: detection, clot volume quantification, and severity correlation in the RSPECT dataset
European Journal of Radiology·2024· 12 cited
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Frequent Co-authors

Ludovica Lofino(13), Victor Savevski(11), Maria Elena Laino(11), Marco Francone(11), Caterina Giannitto(10), Luca Viganò(10), Arturo Chiti(10), Ezio Lanza(10), Riccardo Levi(10), Letterio S. Politi(10), Luca Balzarini(9), Giovanni Savini(9), Federico Garoli(9), L.A. Cappellini(9), S. Superbi(9), Marco Grimaldi(9), Elena Casiraghi(7), Riccardo Barbieri(7), Giulia Vatteroni(6), Pierandrea Cancian(6)