A computational framework applies a Vision Transformer (ViT)-based autoencoder to generate unsupervised learning-derived image phenotypes (ViT-UDIPs) based on T1-weighted brain MRI scans from a subset ...
Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...
Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study. For techniques like fluorescence lifetime imaging microscopy (FLIM), those ...
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