Michael Briden
Orcid: 0000-0002-7209-7134
According to our database1,
Michael Briden
authored at least 6 papers
between 2021 and 2023.
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Bibliography
2023
Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis.
Biol. Cybern., October, 2023
WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Uniform Selection And Representation Matching: A Framework For Classifying Wound Healing Stage.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021