Significant heterogeneity exists between various quantitative methods to assess BPE at breast MRI, with only moderate agreement and correlation with radiologist assessment. @laim_uka @UniklinikAachen @FranzesGustav @jnkath @ProfKuhl @DanielTruhn https://t.co/26BxulZwjs

📜 Interview on our recent "Paper of the week"📜 👉 sen. author @danieltruhn interviewed by @mad_rad_007 👉 full paper https://t.co/aMyVdleeRP #ai #breastcancer #eusobi @ProfKuhl @EuSoMII @pintodrad #MRI #screening #artificalintelligence

Using a training set of standardized contrast-enhanced breast MRI scans, GANs recovered image appearance and conspicuity of enhancing lesions from simulated low-contrast images, as verified on independent test sets. https://t.co/2hPbOHPNi6

How neural networks can accelerate T2 mapping by 600% while being more accurate and robust compared to traditional LSE methods - See our new paper in @MDPIOpenAccess with @FirasKhader96, @justusschock, @DanielTruhn et al. https://t.co/m42pdvFu3d