Vittorio Didonna
Istituto Tumori Bari(IT)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Breast Cancer Treatment Studies, Medical Imaging Techniques and Applications, MRI in cancer diagnosis
Most-Cited Works
- → Radiomic Analysis in Contrast-Enhanced Spectral Mammography for Predicting Breast Cancer Histological Outcome(2020)90 cited
- → Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs(2021)67 cited
- → Microcalcification detection in full-field digital mammograms: A fully automated computer-aided system(2019)56 cited
- → A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis(2020)55 cited
- → Radiomic Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images(2021)54 cited
- → Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images(2019)53 cited
- → A Roadmap towards Breast Cancer Therapies Supported by Explainable Artificial Intelligence(2021)52 cited
- → Radiomics Analysis on Contrast-Enhanced Spectral Mammography Images for Breast Cancer Diagnosis: A Pilot Study(2019)50 cited
- → Early Prediction of Breast Cancer Recurrence for Patients Treated with Neoadjuvant Chemotherapy: A Transfer Learning Approach on DCE-MRIs(2021)45 cited
- → A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients(2022)41 cited