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20162023
most citedInvariant Representations without Adversarial Training

101 citations · 151 across the 18 of their papers we have counts for

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5 papers · 1 filter

q-bio.NC2018

Connectivity-Driven Brain Parcellation via Consensus Clustering

Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova +2

We present two related methods for deriving connectivity-based brain atlases from individual connectomes. The proposed methods exploit a previously proposed dense connectivity repr…

q-bio.NC2017

Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification

Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz +5

There is no consensus on how to construct structural brain networks from diffusion MRI. How variations in pre-processing steps affect network reliability and its ability to disting…

q-bio.NC2017

A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex

Daniel Moyer, Boris A Gutman, Neda Jahanshad +1

One of the primary objectives of human brain mapping is the division of the cortical surface into functionally distinct regions, i.e. parcellation. While it is generally agreed tha…

q-bio.NC2016

An Empirical Study of Continuous Connectivity Degree Sequence Equivalents

Daniel Moyer, Boris A. Gutman, Joshua Faskowitz +2

In the present work we demonstrate the use of a parcellation free connectivity model based on Poisson point processes. This model produces for each subject a continuous bivariate i…

q-bio.NC2016

A Continuous Model of Cortical Connectivity

Daniel Moyer, Boris A. Gutman, Joshua Faskowitz +2

We present a continuous model for structural brain connectivity based on the Poisson point process. The model treats each streamline curve in a tractography as an observed event in…