Split Slice Training Augmentation and Hyperparameter Tuning of RAKI\n Networks for Simultaneous Multi-Slice Reconstruction

2020/06/02 by Andrew S. Nencka, Nencka, Andrew S., Volkan Emre Arpinar +17
Engineering · Computer Science · #Gait Recognition and Analysis #Ultrasonics and Acoustic Wave Propagation #Hand Gesture Recognition Systems

paper · pdf · doi:10.48550/arxiv.2006.01917

Abstract

Split-slice augmentation for simultaneous multi-slice RAKI networks\npositively impacts network performance. Hyperparameter tuning of such\nreconstruction networks can lead to further improvements in unaliasing\nperformance.\n

Citations

• ImageNet classification with deep convolutional neural networks

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