1 |
Wang G, Kang B, Cui J, Deng Y, Zhao Y, Ji C, Wang X. Two nomograms based on radiomics models using triphasic CT for differentiation of adrenal lipid-poor benign lesions and metastases in a cancer population: an exploratory study. Eur Radiol 2023;33:1873-83. [PMID: 36264313 DOI: 10.1007/s00330-022-09182-8] [Reference Citation Analysis]
|
2 |
Stanzione A, Romeo V, Maurea S. The True Value of Quantitative Imaging for Adrenal Mass Characterization: Reality or Possibility? Cancers (Basel) 2023;15. [PMID: 36672470 DOI: 10.3390/cancers15020522] [Reference Citation Analysis]
|
3 |
Aringhieri G, Fanni SC, Febi M, Colligiani L, Cioni D, Neri E. The Role of Radiomics in Salivary Gland Imaging: A Systematic Review and Radiomics Quality Assessment. Diagnostics (Basel) 2022;12. [PMID: 36553009 DOI: 10.3390/diagnostics12123002] [Reference Citation Analysis]
|
4 |
Stanzione A, Cuocolo R, Califano G, Ponsiglione A, Ruvolo CC, Spadarella G, Giorgi MD, Nessuno F, Longo N, Imbriaco M. Semi-Automated Image Segmentation of Peri-Prostatic Tissue on MRI and Radiomics Features Stability: A Feasibility Study for Locally Advanced Prostate Cancer Detection. 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) 2022. [DOI: 10.1109/metroxraine54828.2022.9967607] [Reference Citation Analysis]
|
5 |
Zhang H, Lei H, Pang J. Diagnostic performance of radiomics in adrenal masses: A systematic review and meta-analysis. Front Oncol 2022;12:975183. [DOI: 10.3389/fonc.2022.975183] [Reference Citation Analysis]
|
6 |
Stanzione A, Verde F, Cuocolo R, Romeo V, Paolo Mainenti P, Brunetti A, Maurea S. Placenta Accreta Spectrum Disorders and Radiomics: Systematic review and quality appraisal. Eur J Radiol 2022;155:110497. [PMID: 36030661 DOI: 10.1016/j.ejrad.2022.110497] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|