73 citations · 92 across the 10 of their papers we have counts for
11 papers
Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images
Nathan Hadjiyski, Ali Vosoughi, Axel Wismueller
Deep learning models can be applied successfully in real-work problems; however, training most of these models requires massive data. Recent methods use language and vision, but un…
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…
Re-defining Radiology Quality Assurance (QA) -- Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS)
Axel Wismueller, Larry Stockmaster, Ali Vosoughi
There is an urgent need for streamlining radiology Quality Assurance (QA) programs to make them better and faster. Here, we present a novel approach, Artificial Intelligence (AI)-B…
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
M. Ali Vosoughi, Axel Wismuller
Causal discovery, beyond the inference of a network as a collection of connected dots, offers a crucial functionality in scientific discovery using artificial intelligence. The que…
Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality
Axel Wismüller, M. Ali Vosoughi
The literature manifests that schizophrenia is associated with alterations in brain network connectivity. We investigate whether large-scale Extended Granger Causality (lsXGC) can…
Large-scale Augmented Granger Causality (lsAGC) for Connectivity Analysis in Complex Systems: From Computer Simulations to Functional MRI (fMRI)
Axel Wismuller, M. Ali Vosoughi
We introduce large-scale Augmented Granger Causality (lsAGC) as a method for connectivity analysis in complex systems. The lsAGC algorithm combines dimension reduction with source…
Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI
M. Ali Vosoughi, Axel Wismuller
It has been shown in the literature that marijuana use is associated with changes in brain network connectivity. We propose large-scale Extended Granger Causality (lsXGC) and inves…
Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations
M. Ali Vosoughi
The oscillator-based Ising machine (OIM) is a network of coupled CMOS oscillators that solves combinatorial optimization problems. In this paper, the distribution of the injection-…
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks
M. Ali Vosoughi, Axel Wismuller
Graph topology inference of network processes with co-evolving and interacting time-series is crucial for network studies. Vector autoregressive models (VAR) are popular approaches…
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…
Voltage regulator assisted lightweight countermeasure against fault injection attacks
Ali Vosoughi, Longfei Wang, Selçuk Köse
The impeccable design of sensitive and cryptographic circuits (CC) against fault injection attacks is essential for modern data storage, communication, and computation systems that…