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Found 7 papers, 0 papers with code
Individualized Conditioning and Negative Distances for Speaker Separation
Speaker separation aims to extract multiple voices from a mixed signal.
A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models
In this paper, we explore the capabilities of a number of deep neural network models in generating whole-brain 3T-like MR images from clinical 1. 5T MRIs.
Trace-back along capsules and its application on semantic segmentation
In this paper, we propose a capsule-based neural network model to solve the semantic segmentation problem.
Residual Pyramid FCN for Robust Follicle Segmentation
In this paper, we propose a pyramid network structure to improve the FCN-based segmentation solutions and apply it to label thyroid follicles in histology images.
TraceCaps: A Capsule-based Neural Network for Semantic Segmentation
We model this procedure as a traceback pipeline and take it as a central piece to build an end-to-end segmentation network.
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation
In this paper, we develop a two-stage neural network solution for the challenging task of white-matter lesion segmentation.
Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups
In this paper, we propose a nonlinear distance metric learning scheme based on the fusion of component linear metrics.
