An end‐to‐end AI‐based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST)
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DOI: 10.1002/mrm.29173
Abstract: To develop an automated machine‐learning‐based method for the discovery of rapid and quantitative chemical exchange saturation transfer (CEST) MR fingerprinting acquisition and reconstruction protocols. read more here.
Keywords: end end; end; discovery rapid; acquisition ... See more keywords
A V-band Integrated Receiver Front-End Based on 0.15 μm GaAs pHEMT Process for Passive Millimeter-wave Imaging
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175367
Abstract: The design, analysis, implementation and measurement of an integrated V-band receiver front-end based on 0.15 μm GaAs pHEMT process are presented in this paper. The front-end chip uses the super-heterodyne topology which consists of a… read more here.
Keywords: based gaas; chip; end; end based ... See more keywords