Research:
Research foci:
- Cognitive and Pervasive Content-Based Medical Image Indexing and Retrieval for Validation and Prognosis Support: A crucial step toward the translational implementation of medical image indexing and retrieval systems is related to narrowing the content-base image retrieval gaps (content, features, performance and usability). Cognitive vision paradigms are studied and new methods are developed for medical image exploration, by integrating pervasive approaches and more particular continuous active learning techniques.
- Medical Trans-Modalities and Multi-Scale exploration for Knowledge Discovery: Multi-Scale and more generally, Trans-modality exploration, are used to establish the basis of datamining processes, providing a real knowledge discovery to the physicists.
- Use of the Medical Ontologies and Visual Reasoning for Prognosis Traceability: Use of structured a priori medical knowledge support is crucial for establishing a confluent exploration approach, enabling a traceable reliable second opinion for medical image analysis. Visual reasoning approaches are developed in order to support the medical image exploration and allow the integration of the medical feedback and validation in the analysis algorithms.
