1 code implementation • 5 Dec 2017 • Jiayun Wang, Patrick Virtue, Stella X. Yu
To address the overfitting problem in aerial image classification, we consider the neural network as successive transformations of an input image into embedded feature representations and ultimately into a semantic class label, and train neural networks to optimize image representations in the embedded space in addition to optimizing the final classification score.
no code implementations • 1 Jul 2017 • Patrick Virtue, Stella X. Yu, Michael Lustig
The task of MRI fingerprinting is to identify tissue parameters from complex-valued MRI signals.
no code implementations • 3 Oct 2016 • Patrick Virtue, Michael Lustig
The effects of lower SNR and the underdetermined system are coupled during reconstruction, making it difficult to isolate the impact of lower SNR on image quality.