73 citations · 142 across the 5 of their papers we have counts for
5 papers
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data
Axel Wismüller, Ali Vosoughi, Adora DSouza +1
It is a challenging research endeavor to infer causal relationships in multivariate observational time-series. Such data may be represented by graphs, where nodes represent time-se…
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data
Axel Wismüller, Adora M. DSouza, Anas Z. Abidin
To gain insight into complex systems it is a key challenge to infer nonlinear causal directional relations from observational time-series data. Specifically, estimating causal rela…
Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline
Adora M. DSouza, Anas Z. Abidin, Axel Wismüller
Chest x-rays are the most common radiology studies for diagnosing lung and heart disease. Hence, a system for automated pre-reporting of pathologic findings on chest x-rays would g…
MRI Tumor Segmentation with Densely Connected 3D CNN
Lele Chen, Yue Wu, Adora M. DSouza +3
Glioma is one of the most common and aggressive types of primary brain tumors. The accurate segmentation of subcortical brain structures is crucial to the study of gliomas in that…
A Framework for Exploring Non-Linear Functional Connectivity and Causality in the Human Brain: Mutual Connectivity Analysis (MCA) of Resting-State Functional MRI with Convergent Cross-Mapping and Non-Metric Clustering
Axel Wismüller, Xixi Wang, Adora M. DSouza +1
We present a computational framework for analysis and visualization of non-linear functional connectivity in the human brain from resting state functional MRI (fMRI) data for purpo…