Mohammad Ali Vosoughi
According to our database1,
Mohammad Ali Vosoughi
authored at least 27 papers
between 2017 and 2024.
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Bibliography
2024
Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images.
CoRR, 2024
2023
Classification of schizophrenia using large-scale kernelized Granger causality (lsKGC) and functional MR imaging.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Cross modal global local representation learning from radiology reports and x-ray chest images.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Large-Scale Granger Causality (lsGC) for classification of schizophrenia using functional MRI.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Large-scale Augmented Granger Causality (lsAGC) for discovery of causal brain connectivity networks in schizophrenia patients using functional MRI neuroimaging.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Identification of schizophrenia patients using large-scale Extended Granger Causality (lsXGC) in functional MR imaging.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Tracking the impact of global iodinated contrast agent shortage on radiology: analysis of CT exam volumes at a major US healthcare.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
2022
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.
npj Digit. Medicine, 2022
Re-defining Radiology Quality Assurance (QA) - Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS).
CoRR, 2022
Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC).
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC).
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Large-scale Kernelized Granger Causality (lsKGC) for inferring topology of directed graphs in brain networks.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Classification of schizophrenia from functional MRI using large-scale extended Granger causality.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Large-scale augmented Granger causality (lsAGC) for connectivity analysis in complex systems: from computer simulations to functional MRI (fMRI).
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Investigating Covid-19 pandemic-induced effects on detection of emergent clinical imaging findings by large-scale tracking of utilization and reading results for AI-based image analysis services.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Network connectivity analysis in complex systems using large-scale non-linear Granger causality (lsNGC).
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Large-scale extended Granger causality for classification of marijuana users from functional MRI.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
Large-scale kernelized GRANGER causality to infer topology of directed graphs with applications to brain networks.
CoRR, 2020
Voltage regulator assisted lightweight countermeasure against fault injection attacks.
CoRR, 2020
Distributed Injection-Locking in Analog Ising Machines to Solve Combinatorial Optimizations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
2019
Bus-Invert Coding as a Low-Power Countermeasure Against Correlation Power Analysis Attack.
Proceedings of the 21st ACM/IEEE International Workshop on System Level Interconnect Prediction, 2019
Combined Distinguishers to Enhance the Accuracy and Success of Side Channel Analysis.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
2017
Proceedings of the New Generation of CAS, 2017