Dominique Duncan
Orcid: 0000-0002-6154-9262
According to our database1,
Dominique Duncan
authored at least 26 papers
between 2002 and 2023.
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Bibliography
2023
A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Abnormalities.
Signal Image Video Process., June, 2023
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training.
CoRR, 2023
Unsupervised Seizure Detection in Eeg Using Long Short Term Memory Network and Clustering.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Exaggerated High-Beta Oscillations are Associated with Cortical Thinning at the Motor Cortex in Parkinson's Disease.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT.
Expert Syst. Appl., 2022
Challenging the Digital Divide: Factors Affecting the Availability, Adoption, and Acceptance of Future Technology in Elderly User Communities.
Computer, 2022
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022
Understanding the United States' 50 most populous counties' COVID-19 healthcare outcomes through multiple regression across the Delta variant and Omicron variant times of dominance.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022
ABSTRACT: Evaluation of Transfer Learning Models on Detection of COVID-19 Using Multi-Modal Data.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022
2021
NeuroImage, 2021
Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI.
Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021
Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Machine Learning of Diffusion Weighted Imaging for Prediction of Seizure Susceptibility Following Traumatic Brain Injury.
Proceedings of the Annual Modeling and Simulation Conference, 2021
2020
Proceedings of the Spring Simulation Conference, 2020
Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020
A Computational Diffusion MRI Framework for Biomarker Discovery in a Rodent Model of Post-Traumatic Epileptogenesis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts.
J. Digit. Imaging, 2019
A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity.
Proceedings of the 2019 Spring Simulation Conference, 2019
2018
Analytic Tools for Post-traumatic Epileptogenesis Biomarker Search in Multimodal Dataset of an Animal Model and Human Patients.
Frontiers Neuroinformatics, 2018
2017
Proceedings of the 2017 IEEE Virtual Reality, 2017
Proceedings of the 2017 IEEE Virtual Reality, 2017
2009
Proceedings of the American Control Conference, 2009
2002
Proceedings of the American Control Conference, 2002