Diffusion magnetic resonance imaging (dMRI) has emerged as a pivotal technique for non-invasive exploration of the microstructural organisation of biological tissues. By probing the random motion of ...

Diffusion-weighted MRI can help predict severe neurological outcomes in infants, enabling early diagnosis of cerebral palsy and delays from hypoxic brain injury Diffusion-weighted MRI will be the ...

Designated April 26, 2011, at Stony Brook University in Stony Brook, New York, and April 8, 2011, at Agilent Technologies in Santa Clara, California. MRI (magnetic resonance imaging) has become a ...

Medical imaging using magnetic resonance imaging (MRI) is very time-consuming since an image has to be compiled from data from many individual measurements. Thanks to the use of machine learning, ...

Prognostic value of circulating tumor DNA for progression-free survival in patients with locally advanced dMMR/MSI-H colorectal cancer managed without surgery. Genomic alterations in circulating tumor ...

Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications ...

Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications ...