Maurea, Simone

Imaging of adrenal tumors using FDG PET: comparison of benign and malignant lesions

Maurea, S., Mainolfi, C., Bazzicalupo, L., Panico, M. R., Imparato, C., Alfano, B., Ziviello, M., & Salvatore, M. (1999) · American Journal of Roentgenology

Adrenal and Paraganglionic TumorsMedical Imaging Techniques and Applications

Cited by 159

Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa

Romeo, V., Ricciardi, C., Cuocolo, R., Stanzione, A., Verde, F., Sarno, L., Improta, G., Mainenti, P. P., D'Armiento, M., Brunetti, A., et al. (2019) · Magnetic Resonance Imaging

Radiomics and Machine Learning in Medical ImagingMaternal and fetal healthcare

Cited by 113

Characterization of adrenal lesions on unenhanced MRI using texture analysis: a machine-learning approach

Romeo, V., Maurea, S., Cuocolo, R., Petretta, M., Mainenti, P. P., Verde, F., Coppola, M., Dell'Aversana, S., & Brunetti, A. (2018) · Journal of Magnetic Resonance Imaging

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 69

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

Placenta Accreta Spectrum Disorders and Radiomics: Systematic review and quality appraisal

Stanzione, A., Verde, F., Cuocolo, R., Romeo, V., Paolo Mainenti, P., Brunetti, A., & Maurea, S. (2022) · European Journal of Radiology

Radiomics and Machine Learning in Medical ImagingMaternal and fetal healthcare

Cited by 22