| 2024 |
Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences |
Articolo in rivista |
Vai |
| 2024 |
The Clinical Relevance of Artificial Intelligence in Migraine |
Review essay (rassegna critica) |
Vai |
| 2024 |
Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study |
Articolo in rivista |
Vai |
| 2024 |
Interpretable Radiomic Signature for Breast Microcalcification Detection and Classification |
Articolo in rivista |
Vai |
| 2024 |
Shallow and deep learning classifiers in medical image analysis |
Review essay (rassegna critica) |
Vai |
| 2023 |
Transformer-Based Approach to Melanoma Detection |
Articolo in rivista |
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| 2023 |
Machine Learning for Early Diagnosis of ATTRv Amyloidosis in Non-Endemic Areas: A Multicenter Study from Italy |
Articolo in rivista |
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| 2023 |
Gastrointestinal Stromal Tumors: Diagnosis, Follow-up and Role of Radiomics in a Single Center Experience |
Articolo in rivista |
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| 2023 |
Explainable Machine-Learning Models for COVID-19 Prognosis Prediction Using Clinical, Laboratory and Radiomic Features |
Articolo in rivista |
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| 2023 |
Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images |
Articolo in rivista |
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| 2023 |
A Yolo-Based Model for Breast Cancer Detection in Mammograms |
Articolo in rivista |
Vai |
| 2023 |
Breast Cancer Localization and Classification in Mammograms Using YoloV5 |
Capitolo o Saggio |
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| 2023 |
CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease |
Articolo in rivista |
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| 2022 |
ML-Based Radiomics Analysis for Breast Cancer Classification in DCE-MRI |
Contributo in atti di convegno pubblicato in volume |
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