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Information Processing and Management: an International Journal
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ACM Transactions on Graphics (TOG)
Information Retrieval: A Health and Biomedical Perspective
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OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
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ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Strategies for health data exchange for secondary, cross-institutional clinical research
Computer Methods and Programs in Biomedicine
ImageCLEF: Experimental Evaluation in Visual Information Retrieval
ImageCLEF: Experimental Evaluation in Visual Information Retrieval
Case study of scientific data processing on a cloud using hadoop
HPCS'09 Proceedings of the 23rd international conference on High Performance Computing Systems and Applications
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
3D case–based retrieval for interstitial lung diseases
MCBR-CDS'09 Proceedings of the First MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Artificial Intelligence in Medicine
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This text gives a broad overview of the domain of visual medical information retrieval and medical information analysis/search in general. The goal is to describe the specifics of medical information analysis and more specifically of medical visual information retrieval in this book of the PROMISE winter school. The text is meant to deliver an annotated bibliography of important papers and tendencies in the domain that can then guide the reader to find more detailed information on this quickly developing research domain. This text is by no means a systematic review in the field, so some citations might be subjective but should lead the reader to further publications. The given references will provide a solid starting point for exploring the domain of medical visual information retrieval.