6 citations · 14 across the 17 of their papers we have counts for
4 papers · 1 filter
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration
Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan +1
Spatial transformations are enablers in a variety of medical image analysis applications that entail aligning images to a common coordinate systems. Population analysis of such tra…
SetGAN: Improving the stability and diversity of generative models through a permutation invariant architecture
Alessandro Ferrero, Shireen Elhabian, Ross Whitaker
Generative adversarial networks (GANs) have proven effective in modeling distributions of high-dimensional data. However, their training instability is a well-known hindrance to co…
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets
Riddhish Bhalodia, Shireen Elhabian, Ladislav Kavan +1
Deep networks are an integral part of the current machine learning paradigm. Their inherent ability to learn complex functional mappings between data and various target variables,…
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation
Tim Sodergren, Riddhish Bhalodia, Ross Whitaker +3
Difficult image segmentation problems, for instance left atrium MRI, can be addressed by incorporating shape priors to find solutions that are consistent with known objects. Noneth…