Search Results for author:
Found 2 papers, 0 papers with code
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches
The 2D system detects the infection on each CT slice independently, combining them to obtain the patient-level decision via different methods (averaging and long-short term memory networks).
Deep neural networks for single channel source separation
In the training stage, the training data for the source signals are used to train a DNN.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
