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06/09/2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Machine learning provides a valuable tool for analyzing high-dimensional...
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06/22/2022
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
Volumetric reconstruction of fetal brains from multiple stacks of MR sli...
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11/13/2021
Image Classification with Consistent Supporting Evidence
Adoption of machine learning models in healthcare requires end users' tr...
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03/18/2021
Equivariant Filters for Efficient Tracking in 3D Imaging
We demonstrate an object tracking method for 3D images with fixed comput...
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03/08/2021
Multimodal Representation Learning via Maximization of Local Mutual Information
We propose and demonstrate a representation learning approach by maximiz...
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01/15/2021
Harmonization and the Worst Scanner Syndrome
We show that for a wide class of harmonization/domain-invariance schemes...
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12/08/2020
Bayesian Image Reconstruction using Deep Generative Models
Machine learning models are commonly trained end-to-end and in a supervi...
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10/05/2020
DEMI: Discriminative Estimator of Mutual Information
Estimating mutual information between continuous random variables is oft...
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05/29/2020
Overview of Scanner Invariant Representations
Pooled imaging data from multiple sources is subject to bias from each s...
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12/02/2019
Discovery and Separation of Features for Invariant Representation Learning
Supervised machine learning models often associate irrelevant nuisance f...
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11/11/2019
Invariant Representations through Adversarial Forgetting
We propose a novel approach to achieving invariance for deep neural netw...
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05/30/2019
Efficient Covariance Estimation from Temporal Data
Estimating the covariance structure of multivariate time series is a fun...
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04/15/2019
Exact Rate-Distortion in Autoencoders via Echo Noise
Compression is at the heart of effective representation learning. Howeve...
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04/10/2019
Scanner Invariant Representations for Diffusion MRI Harmonization
Pooled imaging data from multiple sources is subject to variation betwee...
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08/10/2018
Connectivity-Driven Brain Parcellation via Consensus Clustering
We present two related methods for deriving connectivity-based brain atl...
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06/12/2018
Measures of Tractography Convergence
In the present work, we use information theory to understand the empiric...
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05/24/2018
Evading the Adversary in Invariant Representation
Representations of data that are invariant to changes in specified nuisa...
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06/19/2017
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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03/02/2017
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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11/18/2016
