HIV is capable of invading the brain soon after seroconversion. This ultimately can lead to
deficits in multiple cognitive domains commonly referred to as HIV-associated …

Abstract Background Large-scale Granger causality (lsGC) is a recently developed, resting-
state functional MRI (fMRI) connectivity analysis approach that estimates multivariate voxel …

The literature manifests that schizophrenia is associated with alterations in brain network
connectivity. We investigate whether large-scale Extended Granger Causality (lsXGC) can …

Functional connectivity analysis of functional MRI (fMRI) can represent brain networks and
reveal insights into interactions amongst different brain regions. However, most connectivity …

Graph topology inference in networks with co-evolving and interacting time-series is crucial
for network studies. Vector autoregressive models (VAR) are popular approaches for …

It has been shown in the literature that marijuana use is associated with changes in brain
network connectivity. We investigate whether large-scale Extended Granger Causality …

We introduce large-scale Augmented Granger Causality (lsAGC) as a method for
connectivity analysis in complex systems. The lsAGC algorithm combines dimension …

In this work, we utilize a Transformer-based network for precise anatomical landmark
detection in chest X-ray images. By combining the strengths of Transformers and UNet …

Landmark detection is critical in medical imaging for accurate diagnosis and treatment of
diseases. While there are many automated methods for landmark detection, the potential of …

Objective. The objective of this paper is to didactically compare resting state connectivity
networks computed using two different methods called phase locking value (PLV) and …