Ugga, Lorenzo

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Kocak, B., Baessler, B., Bakas, S., Cuocolo, R., Fedorov, A., Maier-Hein, L., Mercaldo, N., Müller, H., Orlhac, F., Pinto dos Santos, D., et al. (2023) · Insights into Imaging

Radiomics and Machine Learning in Medical ImagingRadiology practices and education

Cited by 471

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

Koçak, B., Ponsiglione, A., Stanzione, A., Bluethgen, C., Santinha, J., Ugga, L., Huisman, M., Klontzas, M. E., Cannella, R., & Cuocolo, R. (2024) · Diagnostic and Interventional Radiology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 168

Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges

Stanzione, A., Cuocolo, R., Ugga, L., Verde, F., Romeo, V., Brunetti, A., & Maurea, S. (2022) · Cancers

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 64

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

Koçak, B., Cuocolo, R., Santos, D. P. D., Stanzione, A., & Ugga, L. (2023) · Balkan Medical Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 64