New paper published in Radiology
Our new paper, “Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI,” was just published in the journal Radiology (Impact factor 29), together with a great editorial by Dr. Frank Roemer. It is the first demonstration that a deep learning method for MR image reconstruction can be used in a routine setting with clinical patients. Our proposed method leads to diagnostically equivalent results despite a substantially reduced scan time. It presents one of the key findings of a 4 year research project funded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) at the National Institute of Health (NIH), and was a collaborative effort with NYU, Graz University of Technology and Meta AI.