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R_Papers

Journals:

  1. Biomedical Signal Processing and Control 87 (2024), Gutiérrez-Serafín, Benjamín, et al. "Toward assessment of human voice biomarkers of brain lesions through explainable deep learning." : 105457. [PDF]

  2. Smart Health 27 (2023), Asani, Florina, et al. "BioscoreNet: Traumatic Brain Injury (TBI) detection using a multimodal self-attention fusion neural network and a passive bioscore monitoring framework from smartphone sensor data." : 100352. [PDF]

  3. Plos one 17.9 (2022), Wall, Conor, et al. "A deep learning-based approach to diagnose mild traumatic brain injury using audio classification." : e0274395. [PDF]

  4. ICMLA IEEE, 2021, Ditthapron, Apiwat, Emmanuel O. Agu, and Adam C. Lammert. "Learning from limited data for speech-based traumatic brain injury (TBI) detection." [PDF].

Conference:

Thesis Book

  1. Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data [PDF]