Palavras-chave:
- component-level evaluation
- evaluation
- evaluation metrics
- experimental evaluation
- image retrieval
- image retrieval evaluation
- image segmentation
- ImageCLEF
- Information extraction
- information retrieval
- information retrieval evaluation
- Medical image analysis and retrieval
- Medical image retrieval
- medical image search
- Medical information retrieval
- medical information search
- medical search system
- multilingual
- multimodal
- Multimodal information retrieval and information fusion
- Natural Language Processing
- organ segmentation
- scientific data
- selection
- semantic search
- Telemedicine
- test collection creation including signals and images
- User testing and task analysis
- video retrieval evaluation
- VISCERAL
- visual information retrieval
Publications of Allan Hanbury sorted by first author
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EaaS – Evaluation-as-a-Service in scientific challenges, Springer, 2019 | and ,
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Forschungsanwendungen in der digitalen Radiologie: Big data und Co. (2016), in: Der Radiologe
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Aspects of Medical Information Search, in: Medical Informatics Europe Communication, Oslo, Norway, 2011 | , and ,
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Khresmoi: semantics in medical search, in: ECSW workshop on EU funded projects, Anissara, Greece, 2014 | , , , and ,
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Methods special topic section, introduction to medical information retrieval (2012), in: Methods of Information in Medicine, 51:6(516-518) | , and ,
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Multimodal Retrieval in the Medical Domain (MRMD), Springer, LNCS, volume 9059, 2015
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, , , and ,
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Overview of the first workshop on Multimodal Retrieval in the medical domain (MRMD 2015), Springer, 2015 | , , , and ,
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Workshop Multimodal Retrieval in the Medical Domain, in: ECIR, Vienna, Austria, 2015 | , , , and ,
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Report on the Cloud-Based Evaluation Approaches Workshop, in: SIGIR Forum, páginas 35-41, 2016 | , , , , , , , , , , , , and ,
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Exploiting Health Related Features to Infer User Expertise in the Medical Domain, in: Web Search and Data Mining workshop, New York City, NY, USA, 2014 | , and ,
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How Users Search and What They Search for in the Medical Domain – Understanding Laypeople and Experts Through Query Logs (2016), in: Journal of Information Retrieval
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, , and ,
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How can we do better? Pitfalls in biomedical challenge design and how to address them, in: MICCAI workshop LABELS, 2018 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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BIAS: Transparent reporting of biomedical image analysis challenges (2020), in: Medical Image Analysis | , , , , , , , , , and ,
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A Formal Method For Selecting Evaluation Metrics For Image Segmentation, in: IEEE International Conference on Image Processing (ICIP) 2014, Paris, France, 2014 | , and ,
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Test Data and Results of the Automatic Metric Selection Method (2014), in: tuwien.ac.at | , and ,
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VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Organsegmentierung: Übersicht, Einblicke und erste Ergebnisse, in: Deutscher Röntgenkongress, Hamburg, Germany, 2015 | , , , , , , , , , , , , , and ,
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| 1-50 | 51-66 |