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Found 6 papers, 3 papers with code
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction
Magnetic resonance imaging (MRI) is widely employed for diagnostic tests in neurology.
Dual-Domain Cross-Iteration Squeeze-Excitation Network for Sparse Reconstruction of Brain MRI
Magnetic resonance imaging (MRI) is one of the most commonly applied tests in neurology and neurosurgery.
ComboNet: Combined 2D & 3D Architecture for Aorta Segmentation
In order to maintain precision at the boundary and prevent sparse outliers and leakage, we designed ComboNet.
Imitation Learning of Neural Spatio-Temporal Point Processes
We present a novel Neural Embedding Spatio-Temporal (NEST) point process model for spatio-temporal discrete event data and develop an efficient imitation learning (a type of reinforcement learning) based approach for model fitting.
Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7.9 Wenchuan earthquake
In this paper, we present a CNN-based Phase- Identification Classifier (CPIC) designed for phase detection and picking on small to medium sized training datasets.
A multi-channel approach for automatic microseismic event association using RANSAC-based arrival time event clustering(RATEC)
In the presence of background noise, arrival times picked from a surface microseismic data set usually include a number of false picks that can lead to uncertainty in location estimation.
