2 papers
cs.LG2022
Multifidelity data fusion in convolutional encoder/decoder networks
Lauren Partin, Gianluca Geraci, Ahmad Rushdi +2
We analyze the regression accuracy of convolutional neural networks assembled from encoders, decoders and skip connections and trained with multifidelity data. Besides requiring si…
eess.IV2022
An analysis of reconstruction noise from undersampled 4D flow MRI
Lauren Partin, Daniele E. Schiavazzi, Carlos A. Sing Long
Novel Magnetic Resonance (MR) imaging modalities can quantify hemodynamics but require long acquisition times, precluding its widespread use for early diagnosis of cardiovascular d…