ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based query of image databases: inspirations from text retrieval
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Fast and Effective Retrieval of Medical Tumor Shapes
IEEE Transactions on Knowledge and Data Engineering
Experimental result analysis for a generative probabilistic image retrieval model
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Bayesian models for visual information retrieval
Bayesian models for visual information retrieval
A probabilistic multimedia retrieval model and its evaluation
EURASIP Journal on Applied Signal Processing
Improving image representation with relevance judgements from the searchers
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
The CLEF 2004 cross-language image retrieval track
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
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We present a probabilistic approach to the medical retrieval task. We experimented with the Westerveld method [1] to obtain our results for ImageCLEF. In addition to these results we describe our findings of involving a medical expert in our research. The expert helped us identifying useful image retrieval applications and reflected upon the setup of ImageCLEF's medical task. Finally we describe the evaluation of an interactive implementation of the probabilistic approach.