Nature

Using U-Net convolutional neural network to model pixel-based electrostatic potential distributions in GaN power MIS-HEMTs

Gallium nitride high electron mobility transistors (GaN HEMTs) are attractive due to two-dimensional electron gas (2DEG), large breakdown E-field, and the wide bandgap. Recently, thanks for the ...
Nature

Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods

Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteries from similar signal intensity and proximity (i.e., vertebrae and skull). However, sCTA is not ...