74 citations · 549 across the 47 of their papers we have counts for
3 papers · 1 filter
Deep Unrolling for Magnetic Resonance Fingerprinting
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Magnetic Resonance Fingerprinting (MRF) has emerged as a promising quantitative MR imaging approach. Deep learning methods have been proposed for MRF and demonstrated improved perf…
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography
Heyi Li, Dongdong Chen, William H. Nailon +2
Deep convolutional neural networks (CNNs) have emerged as a new paradigm for Mammogram diagnosis. Contemporary CNN-based computer-aided-diagnosis (CAD) for breast cancer directly e…
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Dongdong Chen, Mike E. Davies, Mohammad Golbabaee
Consistency of the predictions with respect to the physical forward model is pivotal for reliably solving inverse problems. This consistency is mostly un-controlled in the current…