MRI-based radiomics approach predicts tumour recurrence in ER+/Her2-early breast cancer
07:00Gaetano Piccolo, Sant'Anastasia (Naples) / IT
2
Combining ultrafast MRI sequence with artificial intelligence (AI) for breast cancer detection
07:00Jerome Schmid, Geneva / CH
3
Radiomics for ultrafast dynamic contrast-enhanced MRI to predict prognostic biomarkers and subtypes of breast cancer: compared to conventional MRI in a single-centre prospective cohort
07:00Ju-Hyun Jeong, Ansan / KR
4
Role of ultrafast dynamic contrast-enhanced MRI: prognostic imaging markers of breast cancer
07:00Seoyeon Choe, Daejeon / KR
5
Analysis of radiomic features in the MRI assessment of the response to neoadjuvant chemotherapy in patients with triple-negative breast cancer
07:00Nicolò Damiani, Bari / IT
6
AI-based anomaly detection identifies precursors of future lesions in breast MRI of high-risk women: a feasibility study
07:00Bianca Burger, Vienna / AT
7
Preoperative assessment of axillary lymph-node involvement in breast cancer: a hybrid 18F-FDG PET/MRI radiomics and machine-learning study
07:00Valeria Romeo, Naples / IT
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