Jude Department of Computational Biology interim chair. "Current methods make false assumptions that may negatively affect deconvolution, where we identify which cell types are in a sample ...

Convolutional neural networks (CNNs) can be trained to locally estimate the deconvolution kernel and consequently super-localize the microbubbles directly within the RF signal. However, microbubble ...