4 citations · 15 across the 7 of their papers we have counts for
3 papers · 1 filter
Geometry of Deep Learning for Magnetic Resonance Fingerprinting
Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez +2
Current popular methods for Magnetic Resonance Fingerprint (MRF) recovery are bottlenecked by the heavy storage and computation requirements of a dictionary-matching (DM) step due…
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine
Dongdong Chen, Jiancheng Lv, Mike E. Davies
We investigate the potential of a restricted Boltzmann Machine (RBM) for discriminative representation learning. By imposing the class information preservation constraints on the h…
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net
Heyi Li, Dongdong Chen, Bill Nailon +2
We explore the use of deep learning for breast mass segmentation in mammograms. By integrating the merits of residual learning and probabilistic graphical modelling with standard U…