Rachael Garner
Orcid: 0000-0003-4999-6411
According to our database1,
Rachael Garner
authored at least 15 papers
between 2018 and 2024.
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Bibliography
2024
Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data.
Comput. Medical Imaging Graph., 2024
2023
A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Abnormalities.
Signal Image Video Process., June, 2023
2022
Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT.
Expert Syst. Appl., 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
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