human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Medical image retrieval and automated annotation: OHSU at ImageCLEF 2006"
  Abstract: Oregon Health & Science University participated in both the medical retrieval and medical annotation tasks of ImageCLEF 2006. Our efforts in the retrieval task focused on manual modification of query statements and fusion of results from textual and visual retrieval techniques. Our results showed that manual modification of queries does improve retrieval performance, while data fusion of textual and visual techniques improves precision but lowers recall. However, since image retrieval may be a precision-oriented task, these data fusion techniques could be of value for many users. In the annotation task, we assessed a variety of learning techniques and obtained classification accuracy of up to 74% with test data.

Connected through hyperedge HE-1 (induced by source paper "Putting the Content Into Context: Features and Gaps in Image Retrieval"):
  with members:
    - "Expanding diagnostically labeled datasets using content-based image retrieval"

Connected through hyperedge HE-2 (induced by source paper "A Hybird Image Retrieval System with User's Relevance Feedback Using Neurocomputing"):
  with members:
    - "A survey on content-based retrieval for multimedia databases"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science