Manuel Serna-Aguilera

Researcher

Last publication 2026 Last refreshed 2026-05-02

unknown

1 h-index 6 pubs 14 cited

Biography and Research Information

OverviewAI-generated summary

Manuel Serna-Aguilera's research focuses on the application of deep learning techniques to analyze video data for the detection of neurological and developmental conditions. His recent publications explore the use of deep learning models for autism detection, including the development of novel datasets that incorporate extra-stimulatory behaviors to improve classification accuracy. He has also investigated continual learning approaches for vision-brain understanding and explored neural cell video synthesis using optical-flow diffusion models.

Serna-Aguilera collaborates with researchers at the University of Arkansas at Fayetteville, including Xuan-Bac Nguyen, Han‐Seok Seo, Khoa Luu, and Asmita Singh. His work has resulted in a h-index of 1 with 6 publications and 12 citations.

Metrics

  • h-index: 1
  • Publications: 6
  • Citations: 14

Selected Publications

  • COBRA: A Continual Learning Approach to Vision-Brain Understanding (2026)
  • Video-Based Autism Detection with Deep Learning (2024)
    13 citations DOI OpenAlex

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Collaboration Network

18 Collaborators 5 Institutions 1 Country

Top Collaborators

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