RPS 2216 - Structured reporting, radiomics and deep learning

Evaluating the Impact of Structured Radiology Reporting on Clinical Practice and Decision-Making: A Survey in a Large Tertiary University Hospital – STAR Study

Deep learning based on multiparametric MRI to improves the predictive power of TERT promoter genotype in oligodendrogliomas

Unraveling tumour heterogeneity with radiogenomics: comparing single instance and multiple instances learning AI approaches

Enhancing speed and precision of lesion tracking in follow-up lung CT using deep-learning-based registration

Omic approach to prostate cancer: clinical-biological correlation of MRI radiomic features and NMRI spectroscopy metabolomics data before and after RT

Radiomic gradient in the peritumoral tissue of liver metastases: A biomarker to drive clinical practice?

Integrating MRI and PET/CT Radiomics for Enhanced Survival Prediction in Esophageal Cancer

AI-Assisted Annotation for Improving Federated Learning in Automated RCC Image Segmentation