Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data.

"software for all the deep-fus networks trained models and test data sets are available at https://github com/todiian/deep-fus1) in the 3d-res-unet model we modified the u-net by adding an input layer of 4 3-d convolutional filters followed by rectified linear unit (relu) activations.; code and test data sets are available at https://github com/todiian/deep-fus ."

"software for all the deep-fus networks trained models and test data sets are available at https://github com/todiian/deep-fus1) in the 3d-res-unet model we modified the u-net by adding an input layer of 4 3-d convolutional filters followed by rectified linear unit (relu) activations.; code and test data sets are available at https://github com/todiian/deep-fus ."

"The work of Tommaso Di Ianni was supported by the Stanford University School of Medicine Dean’s Postdoctoral Fellowship. This work was supported in part by the Seed Grant from the Stanford Wu Tsai Neurosciences Institute and the NIH BRAIN Initiative under Grant NIH/NIMH RF1MH114252 and in part by the HEAL Initiative under Grant NIH/NINDS UG3NS115637."