270 citations · 1.4k across the 97 of their papers we have counts for
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Membership Inference Attacks on Deep Regression Models for Neuroimaging
Umang Gupta, Dimitris Stripelis, Pradeep K. Lam +3
Ensuring the privacy of research participants is vital, even more so in healthcare environments. Deep learning approaches to neuroimaging require large datasets, and this often nec…
Overview of Scanner Invariant Representations
Daniel Moyer, Greg Ver Steeg, Paul M. Thompson
Pooled imaging data from multiple sources is subject to bias from each source. Studies that do not correct for these scanner/site biases at best lose statistical power, and at wors…
Scanner Invariant Representations for Diffusion MRI Harmonization
Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax +1
Purpose: In the present work we describe the correction of diffusion-weighted MRI for site and scanner biases using a novel method based on invariant representation. Theory and Met…
Measures of Tractography Convergence
Daniel Moyer, Paul M. Thompson, Greg Ver Steeg
In the present work, we use information theory to understand the empirical convergence rate of tractography, a widely-used approach to reconstruct anatomical fiber pathways in the…