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Abstract: Stochastic optimization algorithms are widely used to solve large-scale machine learning problems. However, their theoretical analysis necessitates access to unbiased estimates of the true ...

Event-related fMRI was done on a 1.5T GE Signa (Waukesha, Wisconsin) scanner equipped with a three-axis local gradient head coil and an elliptical endcapped quadrature radiofrequency coil.

We exploit the structural similarity between images and the edge gradient information to propose a hybrid loss to improve the segmentation accuracy of the model. Extensive experiments on medical image ...

ResNet solves the problems of gradient disappearance and gradient explosion encountered when training deep neural networks by introducing residual connections. GRU is used to improve the vanishing ...