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05/06/2022
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data
It is a challenging research endeavor to infer causal relationships in m...
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06/01/2021
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
Causal discovery, beyond the inference of a network as a collection of c...
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01/06/2021
Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI
It has been shown in the literature that marijuana use is associated wit...
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11/16/2020
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks
Graph topology inference of network processes with co-evolving and inter...
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10/14/2020
Tracking Results and Utilization of Artificial Intelligence (tru-AI) in Radiology: Early-Stage COVID-19 Pandemic Observations
Objective: To introduce a method for tracking results and utilization of...
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09/10/2020
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data
To gain insight into complex systems it is a key challenge to infer nonl...
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06/11/2020
Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline
Chest x-rays are the most common radiology studies for diagnosing lung a...
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07/14/2014
A Framework for Exploring Non-Linear Functional Connectivity and Causality in the Human Brain: Mutual Connectivity Analysis (MCA) of Resting-State Functional MRI with Convergen
We present a computational framework for analysis and visualization of n...
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06/10/2011