Adora M. DSouza
According to our database1,
Adora M. DSouza
authored at least 35 papers
between 2014 and 2022.
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Bibliography
2022
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.
npj Digit. Medicine, 2022
Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks.
NeuroImage, 2022
Exploring directed network connectivity in complex systems using large-scale augmented Granger causality (lsAGC).
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 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
Proceedings of the IEEE International Conference on Acoustics, 2022
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
2020
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data.
CoRR, 2020
Classification of attention-deficit/hyperactivity disorder from resting-state functional MRI with mutual connectivity analysis.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2019
Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.
Comput. Biol. Medicine, 2019
Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Classification of autism spectrum disorder from resting-state fMRI with mutual connectivity analysis.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
2018
NeuroImage, 2018
Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage.
Comput. Biol. Medicine, 2018
Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Resilient modular small-world directed brain networks in healthy subjects with large-scale Granger causality analysis of resting-state functional MRI.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Investigating directed functional connectivity between the resting state networks of the human brain using mutual connectivity analysis.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
2017
Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Mutual connectivity analysis (MCA) using generalized radial basis function neural networks for nonlinear functional connectivity network recovery in resting-state functional MRI.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Investigating changes in brain network properties in HIV-associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA).
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Detecting altered connectivity patterns in HIV associated neurocognitive impairment using mutual connectivity analysis.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
2015
Functional connectivity analysis in resting state fMRI with echo-state networks and non-metric clustering for network structure recovery.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Investigating the use of mutual information and non-metric clustering for functional connectivity analysis on resting-state functional MRI.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
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 Convergent Cross-Mapping and Non-Metric Clustering.
CoRR, 2014