The Rey-Osterrieth Complex Figure (ROCF) Test Assessment project uses deep learning models to extract useful information from this drawing-based neuropsychological test. This information could be leveraged by psychology professionals to improve the early diagnosis of cognitive impairment in adults.

As part of this project, we have produced two scientific articles:

      
• A Benchmark for Rey-Osterrieth Complex Figure Test Automatic Scoring.
  
• Manuscript published with the DOI: https://doi.org/10.1016/j.heliyon.2024.e39883
• Source code: https://github.com/SIMDA-UNED/rocf_automatic_scoring
• Mild Cognitive Impairment Detection from Rey-Osterrieth Complex Figure Copy Drawings using a Contrastive Loss Siamese Neural Network.
  
• Manuscript published with the DOI: https://doi.org/10.32604/cmc.2025.066083
• Source code: https://github.com/SIMDA-UNED/rocf-mci-detection

Contact:

      
• Mariano Rincón, Artificial Intelligence Department (UNED). Email: mrincon@dia.uned.es
• Juan Guerrero Martín, Artificial Intelligence Department (UNED). Email: jguerrero@dia.uned.es