6 citations · 18 across the 9 of their papers we have counts for
3 papers · 1 filter
Accelerating Low-field MRI: From Compressed Sensing to Deep Learning Reconstruction with CNNs and Transformers
Efrat Shimron, Shanshan Shan, James Grover +7
Portable, low-field Magnetic Resonance Imaging (MRI) scanners are increasingly being deployed in clinical settings. However, key barriers to their widespread use include low signal…
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
Han Cui, Alfredo De Goyeneche, Efrat Shimron +2
Image Quality Assessment (IQA) is essential in various Computer Vision tasks such as image deblurring and super-resolution. However, most IQA methods require reference images, whic…
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
Reinhard Heckel, Mathews Jacob, Akshay Chaudhari +2
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides…