
Equivariant Filters for Efficient Tracking in 3D Imaging
We demonstrate an object tracking method for 3D images with fixed comput...
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Multimodal Representation Learning via Maximization of Local Mutual Information
We propose and demonstrate a representation learning approach by maximiz...
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Harmonization and the Worst Scanner Syndrome
We show that for a wide class of harmonization/domaininvariance schemes...
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Bayesian Image Reconstruction using Deep Generative Models
Machine learning models are commonly trained endtoend and in a supervi...
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DEMI: Discriminative Estimator of Mutual Information
Estimating mutual information between continuous random variables is oft...
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Overview of Scanner Invariant Representations
Pooled imaging data from multiple sources is subject to bias from each s...
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Discovery and Separation of Features for Invariant Representation Learning
Supervised machine learning models often associate irrelevant nuisance f...
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Invariant Representations through Adversarial Forgetting
We propose a novel approach to achieving invariance for deep neural netw...
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Efficient Covariance Estimation from Temporal Data
Estimating the covariance structure of multivariate time series is a fun...
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Exact RateDistortion in Autoencoders via Echo Noise
Compression is at the heart of effective representation learning. Howeve...
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Scanner Invariant Representations for Diffusion MRI Harmonization
Pooled imaging data from multiple sources is subject to variation betwee...
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ConnectivityDriven Brain Parcellation via Consensus Clustering
We present two related methods for deriving connectivitybased brain atl...
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Measures of Tractography Convergence
In the present work, we use information theory to understand the empiric...
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Evading the Adversary in Invariant Representation
Representations of data that are invariant to changes in specified nuisa...
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Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification
There is no consensus on how to construct structural brain networks from...
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A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex
One of the primary objectives of human brain mapping is the division of ...
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An Empirical Study of Continuous Connectivity Degree Sequence Equivalents
In the present work we demonstrate the use of a parcellation free connec...
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Daniel Moyer
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