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Found 7 papers, 0 papers with code
Joint ANN-SNN Co-training for Object Localization and Image Segmentation
The field of machine learning has been greatly transformed with the advancement of deep artificial neural networks (ANNs) and the increased availability of annotated data.
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
Over the past decade, artificial neural networks (ANNs) have made tremendous advances, in part due to the increased availability of annotated data.
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.
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.
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.
