Alexis Bennett
According to our database1,
Alexis Bennett
authored at least 7 papers
between 2022 and 2024.
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Bibliography
2024
Optimizing Automated Brain Extraction for Moderate to Severe Traumatic Brain Injury Patients: The Role of Intensity Normalization and Bias-Field Correction.
Algorithms, July, 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
Enlarged Perivascular Spaces in Frontal and Temporal Cortical Regions Characterize Seizure Outcome After Traumatic Brain Injury.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Alzheimer's disease and Frontotemporal Dementia Prediction Using Variational Mode Decomposition and Machine Learning.
Proceedings of the 10th International Conference on Control, 2024
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
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