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Found 6 papers, 2 papers with code
Microwave lymphedema assessment using deep learning with contour assisted backprojection
Next, a deep neural network based on U-Net architecture is employed to identify the location and extent of the lymphatic fluid.
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution
We show how this deep generative model can be used to retrieve the high spatial resolution image from low resolution images of the same target.
CardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals
We present CardiacGen, a Deep Learning framework for generating synthetic but physiologically plausible cardiac signals like ECG.
Blind Reconstruction of Multilayered Tissue Profiles with UWB Radar Under Bayesian Setting
In this paper, we investigate the problem of inverse electromagnetic scattering to recover multilayer human tissue profiles using ultrawideband radar systems in a Bayesian setting.
Sparse Signal Models for Data Augmentation in Deep Learning ATR
Automatic Target Recognition (ATR) algorithms classify a given Synthetic Aperture Radar (SAR) image into one of the known target classes using a set of training images available for each class.
Wald-Kernel: Learning to Aggregate Information for Sequential Inference
The proposed algorithm, namely Wald-Kernel, is tested on a synthetic data set and two real world data sets, together with previous approaches for likelihood ratio estimation.
