Michael Briden

Orcid: 0000-0002-7209-7134

According to our database1, Michael Briden authored at least 6 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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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

Fine-grained Cross-Layer Attention Framework for Wound Stage Classification.
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


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