Match tier Listed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Manuel Serna-Aguilera

Researcher

Unknown Researcher

1 h-index 6 pubs 17 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 neurodevelopmental classification. His work includes the development of novel datasets and algorithms for detecting autism spectrum disorder and understanding neurodivergent behaviors through video analysis. He has also explored the synthesis of neural cell videos using diffusion models, indicating an interest in computational neuroscience and biological data generation.

His recent publications, including "Video-Based Autism Detection with Deep Learning" and "A Novel Dataset for Video-Based Neurodivergent Classification Leveraging Extra-Stimulatory Behavior," highlight his commitment to advancing machine learning applications in healthcare and behavioral studies. Serna-Aguilera has a recent publication in 2026 and is actively publishing, with a citation count of 15 and an h-index of 1 across six publications. He has collaborated with Xuan-Bac Nguyen, Han‐Seok Seo, Ky Luu, and Asmita Singh at the University of Arkansas at Fayetteville.

Metrics

  • h-index: 1
  • Publications: 6
  • Citations: 17

Selected Publications

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

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Collaboration Network

11 Collaborators 5 Institutions 1 Country

Top Collaborators

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