2 papers
eess.IV2024
SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data
Rotem Benisty, Yevgenia Shteynman, Moshe Porat +2
Magnetic resonance imaging (MRI) is crucial in diagnosing various abdominal conditions and anomalies. Traditional MRI scans often yield anisotropic data due to technical constraint…
cs.CV2024
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy from DWI Data
Shir Nitzan, Maya Gilad, Moti Freiman
Effective surgical planning for breast cancer hinges on accurately predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC). Diffusion-weighted MRI (DWI) a…