ImageCLEF publications

1. Books
2. Working Notes and (post-workshop) Proceedings for ImageCLEF
3. Publications using ImageCLEF data
4. Publications describing ImageCLEF and its resources in more detail

Google Scholar returns more than 6.300 results which include the term "ImageCLEF" in the text (search made on September 27, 2022). Next, we provide just a highlight of the retrieved results.

Books

• Henning Müller, Paul Clough, Thomas Deselaers, and Barbara Caputo (Eds.). Experimental Evaluation in Visual Information Retrieval. The Information Retrieval Series, Vol. 32, Springer, 2010.

ImageCLEF working notes and post-workshop proceedings

• 2022: Working Notes and post-workshop Proceedings
• 2021: Working Notes and post-workshop Proceedings
• 2020: Working Notes and post-workshop Proceedings
• 2019: Working Notes and post-workshop Proceedings
• 2018: Working Notes and post-workshop Proceedings
• 2017: Working Notes and post-workshop Proceedings
• 2016: Working Notes and post-workshop Proceedings
• 2015: Working Notes and post-workshop Proceedings
• 2014: Working Notes and post-workshop Proceedings
• 2013: Working Notes and post-workshop Proceedings
• 2012: Working Notes and post-workshop Proceedings
• 2011: Working Notes and post-workshop Proceedings
• 2010: Working Notes and post-workshop Proceedings
• 2009: Working Notes and post-workshop Proceedings (part I) and post-workshop Proceedings (part II)
• 2008: Working Notes and post-workshop Proceedings
• 2007: Working Notes and post-workshop Proceedings
• 2006: Working Notes and post-workshop Proceedings
• 2005: Working Notes and post-workshop Proceedings
• 2004: Working Notes and post-workshop Proceedings
• 2003: Working Notes and post-workshop Proceedings

Publications using ImageCLEF data

Please feel free to send us your publications using ImageCLEF data and we will update this page:

2022

• C. Zhang, J. Zhang, Transferable regularization and normalization: Towards transferable feature learning for unsupervised domain adaptation, Information Sciences, Vol. 609, 2022, pp. 595-604, DOI: https://doi.org/10.1016/j.ins.2022.07.083.
• Z. Ma, B. Xu, L. Wang, H. Liu and Z. Zeng, "A Unified Weighted MMD For Unsupervised Domain Adaptation," 2022 14th International Conference on Advanced Computational Intelligence (ICACI), 2022, pp. 388-394, DOI: https://doi.org/10.1109/ICACI55529.2022.9837581.
• D. Beddiar, M. Oussalah and S. Tapio, "Explainability for Medical Image Captioning," 2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2022, pp. 1-6, DOI: https://doi.org/10.1109/IPTA54936.2022.9784146.
• N.M. Hai, T. Van Lang, T. T. Van, Semantic-Based Image Retrieval Using Hierarchical Clustering and Neighbor Graph. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 470. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-04829-6_4
• K. Gasmi, Hybrid deep learning model for answering visual medical questions. J Supercomput 78, 15042–15059 (2022). DOI: https://doi.org/10.1007/s11227-022-04474-8
• A. Alshehri, M. Taileb and R. Alotaibi, "DeepAIA: An Automatic Image Annotation Model Based on Generative Adversarial Networks and Transfer Learning," in IEEE Access, vol. 10, pp. 38437-38445, 2022, DOI: https://doi.org/10.1109/ACCESS.2022.3165077.
• O. Hrizi, K. Gasmi, I. Ben Ltaifa, H. Alshammari, H. Karamti, M. Krichen, L. Ben Ammar, M. A. Mahmood, "Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model", Journal of Healthcare Engineering, vol. 2022, Article ID 8950243, 13 pages, 2022. DOI: https://doi.org/10.1155/2022/8950243
• L. Meng, H. Su, C. Lou, J. Li, Cross-domain Mutual Information Adversarial Maximization, Engineering Applications of Artificial Intelligence, Vol. 110, 2022, 104665, DOI: https://doi.org/10.1016/j.engappai.2022.104665.
• Nhi, Nguyen Thi Uyen et al. "A Model of Semantic-Based Image Retrieval Using C-Tree and Neighbor Graph." IJSWIS vol.18, no.1 2022: pp.1-23. DOI: http://doi.org/10.4018/IJSWIS.295551
• K. Gasmi, I. Ben Ltaifa, G. Lejeune, H. Alshammari, L. Ben Ammar, M. A. Mahmood, Optimal Deep Neural Network-Based Model for Answering Visual Medical Question, Cybernetics and Systems, 53:5, 403-424, 2022. DOI: https://doi.org/10.1080/01969722.2021.2018543
• M. Jiu, H. Sahbi, Context-aware deep kernel networks for image annotation, Neurocomputing, Vol. 474, 2022, pp. 154-167, DOI: https://doi.org/10.1016/j.neucom.2021.12.006.




2021

• W. Deng, Z. Su, Q. Qiu, L. Zhao, G. Kuang, M. Pietikäinen, H. Xiao, L. Liu, Deep ladder reconstruction-classification network for unsupervised domain adaptation, Pattern Recognition Letters, Vol. 152, 2021, pp. 398-405. DOI: https://doi.org/10.1016/j.patrec.2021.10.009.
• A. Imran, V. Athitsos, Adaptive Feature Norm for Unsupervised Subdomain Adaptation. In: Advances in Visual Computing. ISVC 2021. Lecture Notes in Computer Science(), Vol. 13017. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-90439-5_27
• Qiang Zhou, Wen’an Zhou, Shirui Wang, Cluster adaptation networks for unsupervised domain adaptation, Image and Vision Computing, Vol. 108, 2021, 104137, DOI: https://doi.org/10.1016/j.imavis.2021.104137.




2020

• Murtaza, F.; Saba, U.; Yousaf, M. and Viriri, S. (2020). Plant Species Identification using Discriminant Bag of Words (DBoW). In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-402-2; ISSN 2184-4321, pages 499-505. DOI: 10.5220/0009161004990505
• A. D. Olayemi, A. Dharmaratne and M. F. Pasha, "Deep Learning and Late Fusion Technique in Medical X-ray Image," 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2020, pp. 460-465, doi: 10.1109/ICARCV50220.2020.9305346.
• R. Xiao, Z. Liu and B. Wu, "Teacher-Student Competition for Unsupervised Domain Adaptation," 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 8291-8298, doi: 10.1109/ICPR48806.2021.9413219.




2019

• Lee, S.L., Zare, M.R. and Muller, H., Late fusion of deep learning and handcrafted visual features for biomedical image modality classification. IET Image Processing, 13: 382-391, 2019. https://doi.org/10.1049/iet-ipr.2018.5054
• X. Shi, Y. Wu, H. Cao, G. Burns and P. Natarajan, "Layout-aware Subfigure Decomposition for Complex Figures in the Biomedical Literature," ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 1343-1347, doi: 10.1109/ICASSP.2019.8683824.
• Mandikal Vikram, Aditya Anantharaman, Suhas BS, and Sowmya Kamath S. 2019. An Approach for Multimodal Medical Image Retrieval using Latent Dirichlet Allocation. In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD '19). Association for Computing Machinery, New York, NY, USA, 44–51. https://doi.org/10.1145/3297001.3297007




2018

• R. Ambati and C. Reddy Dudyala, "A Sequence-to-Sequence Model Approach for ImageCLEF 2018 Medical Domain Visual Question Answering," 2018 15th IEEE India Council International Conference (INDICON), 2018, pp. 1-6, doi: 10.1109/INDICON45594.2018.8987108.
• Mounira Taileb and Eman Alahmadi, “Multimodal Automatic Image Annotation Method using Association Rules Mining and Clustering” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091197
• Honghu Hua, Jianghua Cheng, and Tong Liu. 2018. Image Retrieval Method with Fisher GLCM and Graph Model. In Proceedings of the 2018 the 2nd International Conference on Video and Image Processing (ICVIP 2018). Association for Computing Machinery, New York, NY, USA, 150–154. https://doi.org/10.1145/3301506.3301521
• Saxena, S., Pandey, S. & Khanna, P. A semi-supervised domain adaptation assembling approach for image classification. Pattern Anal Applic 21, 813–827 (2018). https://doi.org/10.1007/s10044-017-0664-1
• Ayadi, H., Torjmen-Khemakhem, M., Daoud, M., Huang, J.X. and Ben Jemaa, M. (2018), MF-Re-Rank: A modality feature-based Re-Ranking model for medical image retrieval. Journal of the Association for Information Science and Technology, 69: 1095-1108. https://doi.org/10.1002/asi.24045
• Gao XW, Qian Y. Prediction of Multidrug-Resistant TB from CT Pulmonary Images Based on Deep Learning Techniques. Mol Pharm. 2018 Oct 1;15(10):4326-4335. doi: 10.1021/acs.molpharmaceut.7b00875. Epub 2018 Jan 29. PMID: 29257894.
• V. M. Araújo, A. S. Britto, A. L. Brun, A. L. Koerich and L. E. S. Oliveira, "Fine-Grained Hierarchical Classification of Plant Leaf Images Using Fusion of Deep Models," 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), 2018, pp. 1-5, doi: 10.1109/ICTAI.2018.00011.
• J. Zhang, Y. Xia, Y. Xie, M. Fulham and D. D. Feng, "Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features," in IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 5, pp. 1521-1530, Sept. 2018, doi: 10.1109/JBHI.2017.2775662.




2017

• K. C. Santosh, Aafaque Aafaque, Sameer Antani, and George R. Thoma, Line Segment-Based Stitched Multipanel Figure Separation for Effective Biomedical CBIR, International Journal of Pattern Recognition and Artificial Intelligence, 31:06, 2017. DOI: https://doi.org/10.1142/S0218001417570038.
• X. Li, Y. Tang and T. Gao, "Deep but lightweight neural networks for fish detection," OCEANS 2017 - Aberdeen, 2017, pp. 1-5, doi: 10.1109/OCEANSE.2017.8084961.
• V. Araújo, A. S. Britto, A. L. Brun, A. L. Koerich and R. Palate, "Multiple classifier system for plant leaf recognition," 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, pp. 1880-1885, doi: 10.1109/SMC.2017.8122891.
• Wang, H., Zhang, J., Xia, Y. (2017). Jointly Using Deep Model Learned Features and Traditional Visual Features in a Stacked SVM for Medical Subfigure Classification. In: Sun, Y., Lu, H., Zhang, L., Yang, J., Huang, H. (eds) Intelligence Science and Big Data Engineering. IScIDE 2017. Lecture Notes in Computer Science(), vol 10559. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-67777-4_17
• A. Lagopoulos, A. Fachantidis and G. Tsoumakas, "Multi-label Modality Classification for Figures in Biomedical Literature," 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017, pp. 79-84, DOI: 10.1109/CBMS.2017.47.
• Jagan, S., and S. P. Rajagopalan. "A Query Recommendation System for Efficient Biomedical Information Retrieval." RESEARCH JOURNAL OF BIOTECHNOLOGY 12 (2017): 6-11.
• H. Cevikalp and Ş. Işık, "ImageHawk search engine: Content based image retrieval system," 2017 25th Signal Processing and Communications Applications Conference (SIU), 2017, pp. 1-4, doi: 10.1109/SIU.2017.7960282.
• Thanh-Nhan Nguyen, T., Le, TL., Vu, H., Nguyen, HH., Hoang, VS. (2017). A Combination of Deep Learning and Hand-Designed Feature for Plant Identification Based on Leaf and Flower Images. In: Król, D., Nguyen, N., Shirai, K. (eds) Advanced Topics in Intelligent Information and Database Systems. ACIIDS 2017. Studies in Computational Intelligence, vol 710. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-56660-3_20




2016

• O. Pelka und C. M. Friedrich, "Modality Prediction of Biomedical Literature Images using Multimodal Feature Representation", GMS Medizinische Informatik, Biometrie und Epidemiologie, DOI: 10.3205/mibe000166, Volume 12, Number 2, Doc4, 2016
• Jesus Martinez-Gomez, Jacinto Arias, Alba García Seco de Herrera and Henning Müller, Medical image modality classification using discrete Bayesian Networks (2016), in: Computer Vision and Image Understanding
• S. Khan and S. -P. Yong, "A comparison of deep learning and hand crafted features in medical image modality classification," 2016 3rd International Conference on Computer and Information Sciences (ICCOINS), 2016, pp. 633-638, doi: 10.1109/ICCOINS.2016.7783289.
• X. Li, M. Shang, J. Hao and Z. Yang, "Accelerating fish detection and recognition by sharing CNNs with objectness learning," OCEANS 2016 - Shanghai, 2016, pp. 1-5, doi: 10.1109/OCEANSAP.2016.7485476.
• K. C. Santosh, Naved Alam, Partha Pratim Roy, Laurent Wendling, Sameer Antani, and George R. Thoma, A Simple and Efficient Arrowhead Detection Technique in Biomedical Images, International Journal of Pattern Recognition and Artificial Intelligence 2016 30:05.
• Romero-González, C., Martínez-Gómez, J., García-Varea, I. et al. 3D spatial pyramid: descriptors generation from point clouds for indoor scene classification. Machine Vision and Applications 27, 263–273 (2016). DOI: https://doi.org/10.1007/s00138-015-0744-4




2015

• Alba García Seco de Herrera, Antonio Foncubierta-Rodríguez and Henning Müller, Medical case-based retrieval: integrating query MeSH terms for query-adaptive multi-modal fusion, in: SPIE Medical Imaging, 2015
• Alba García Seco de Herrera, Roger Schaer, Dimitrios Markonis and Henning Müller, Comparing Fusion Techniques for the ImageCLEF 2013 Medical Case Retrieval Task (2015), in: Computerized Medical Imaging and Graphics, 39(46–54)
• Alba García Seco de Herrera, Dimitrios Markonis, Ranveer Joyseeree, Roger Schaer, Antonio Foncubierta-Rodríguez and Henning Müller, Semi–Supervised Learning for Image Modality Classification, in: ECIR workshop MRMD, Vienna, Austria, 2015
• Roger Schaer, Alba García Seco de Herrera and Henning Müller, Shangri-La: Une interface Web pour la recherche basée sur des cas médicaux, 2015




2014

• Alba García Seco de Herrera, Antonio Foncubierta-Rodríguez, Dimitrios Markonis, Roger Schaer and Henning Müller, Crowdsourcing for Medical Image Classification, 2014
• Alba García Seco de Herrera and Henning Müller, Fusion Techniques in Biomedical Information Retrieval, Springer, 2014
  attachment
• Antonio Foncubierta-Rodríguez, Alba García Seco de Herrera and Henning Müller, Meaningful bags of words for medical image classification and retrieval, Springer, 2014




2013

• Alba García Seco de Herrera, Dimitrios Markonis and Henning Müller, Bag-of-Colors for Biomedical Document Image Classification, in: MICCAI workshop MCBR-CDS, Nice, France, pages 110-121, 2013




2012

• A. Ksibi, A. Ben Ammar and C. Ben Amar, Effective Concept Detection using Second order Co-occurence Flickr context Similarity Measure, CBMI, 2012
• A. Ksibi, M. Damak, A. Ben Ammar, M. Mejdoub and C. Ben, Flickr-based Semantic Context to refine Automatic Photo Annotation, IPTTA2012, 2012
• T. Mensink, J. Verbeek and G. Csurka, Tree-structured CRF Models for Interactive Image Labeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
• D. Zellhöfer, Personas - The Missing Link between User Simulations and User-Centered Design?, 10th Workshop on Adaptive Multimedia Retrieval, Copenhagen, Denmark, 2012
• D. Zellhöfer, An Extensible Personal Photograph Collection for Graded Relevance. Assessments and user simulation, ACM International Conference on Multimedia Retrieval 2012,Hong Kong, 2012
• M. Crespo Azcárate, J. Mata Vázquez and M. Maña López, Improving Image Retrieval Effectiveness via Query Expansion using MeSH Hierarchical Structure, Journal of the American Medical Informatics Association, 2012
• D. Markonis, A.G. Seco de Herrera, I. Eggel and H. Müller, Multi-scale visual words for hierarchical medical image categorization, SPIE Medical Imaging 2012: Image Processing, 2012.

2011

• T. Mensink, J. Verbeek and T. Caetano, Learning to Rank and Quadratic Assignment, NIPS Workshop on Discrete Optimization in Machine Learning, Granada, Spain, 2011
• T. Mensink, J. Verbeek and G. Csurka, Weighted Transmedia Relevance Feedback for Image Retrieval and Auto-annotation, [Technical Report], 2011
• U. Avni, H. Greenspan, E. Konen, M. Sharon, and J. Goldberger. X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words. IEEE Transanctions on Medical Imaging, 30(3), pages 733-746, 2011.
• D. You, S. Antani, D. Demner-Fushman, V. Govindaraju, and G. R.Thoma. Detecting figure-panel labels in medical journal articles using MRF. ICDAR 2011 - Proceedings of 11th International Conference on Document Analysis and Recognition, pages 967 - 971 vol.1, 2011.
• D. You, S. Antani, D. Demner-Fushman, M. Rahman, V. Govindaraju, and G. R. Thoma. Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval. DDR 2011 - Proceedings of Document Recognition and Retrieval XVIII, SPIE volume 7874, 2011.
• K. Zagoris, S. Chatzichristofis, and A. Arampatzis. Bag-of-Visual-Words vs Global Image Descriptors on Two-Stage Multimodal Retrieval. SIGIR 2011 - Proceedings of the 34rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011.
• A. Arampatzis, K. Zagoris, and S. A. Chatzichristofis. Fusion vs Two-Stage for Multimodal Retrieval. ECIR 2011 - Advances in Information Retrieval, Proceedings of the 33rd European Conference on IR Research, LNCS 6611, pages 759-762, 2011.
• A. Arampatzis, K. Zagoris, and S. A. Chatzichristofis. Dynamic Two-Stage Image Retrieval from Large Multimodal Databases. ECIR 2011 - Advances in Information Retrieval, Proceedings of the 33rd European Conference on IR Research, LNCS 6611, pages 326-337, 2011.
• A. Popescu, G. Grefenstette. Social Media Driven Image Retrieval. ICMR 2011 - Proceedings of the First ACM International Conference on Multimedia Retrieval, 2011.
• S. Clinchant, J. Ah-Pine, G. Csurka. Semantic combination of textual and visual information in multimedia retrieval. ICMR 2011 - Proceedings of the First ACM International Conference on Multimedia Retrieval, 2011.
• G. Csurka, S. Clinchant, G. Jacquet. Medical Image Modality Classification and Retrieval. CBMI 2011 - Proceedings of the International Workshop on Content Based Multimedia Indexing, 2011.
• T. Mensink, J. J. Verbeek, Gabriela Csurka. Learning structured prediction models for interactive image labeling. CVPR 2011 - Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011.
• S. Skaff, D. Rouquet, E. Dellandrea, A. Falaise, V. Bellynck, H. Blanchon, C. Boitet, D. Schwab, L. Chen, A. Saidi, G. Csurka, L. Marchesotti. Multimodal Search for Graphic Designers. IVAPP 2011- International Conference on Information Visualization Theory and Applications, 2011.
• Y. Gkoufas, A. Morou, T. Kalamboukis. Combining Textual and Visual Information for Image Retrieval in the Medical Domain. The Open Medical Informatics Journal, 5, (Suppl 1-M6), pages 50-57, 2011.
• H. Madzin, R. Zainuddin, N. S. Mohamed. Multi-modality Medical Images Feature Analysis. BIOMED 2011 - Proceedings of the 7th International Conference on Biomedical Engineering, 2011.
• R. Agerri, R. Granados, A. García Serrano. Enrichment of Named Entities for Image Photo Retrieval. Proceedings of the 7th International conference on Adaptive Multimedia Retrieval: understanding media and adapting to the user, LNCS 6535, pages 101-110, 2011.
• D. Hernández Aranda, V. Fresno Fernández, R. Granados Muñoz, A. García Serrano. Evaluando Modelos de Indexación Multilingüe en Recuperación de Imágenes Basada en Texto. CAEPIA 2011 - Proceedings of the Conference of the Spanish Association for Artificial Intelligence, 2011.
• H. J. Escalante, M. Montes, E. Sucar. Multimodal Document Indexing based on Semantic Cohesion for Image Retrieval. Information Retrieval Journal, In press, 2011.
• H. J. Escalante, M. Montes, E. Sucar. An Energy-based Model for Region Labeling. Computer Vision and Image Understanding, 115(6), pages 787-803, 2011.
• M. Kawanabe, A. Binder, C. Muller, W. Wojcikiewicz. Multi-modal visual concept classification of images via Markov random walk over tags, WACV 2011 - IEEE Workshop on Applications of Computer Vision, pages 396-401, 2011.
• J. Wang, Y. Li, Y. Zhang, C. Wang, H. Xie, G. Chen, X. Gao, Bag-of-Features Based Medical Image Retrieval via Multiple Assignment and Visual Words Weighting, IEEE Transactions on Medical Imaging, 2011 (accepted).
• J. Wang, Y. Li, Y. Zhang, H. Honglan, C. Wang. Boosted Learning of Visual Word Weighting Factors for Bag-of-Features Based Medical Image Retrieval. ICIG 2011 - Proceedings of the Sixth International Conference on Image and Graphics, pages 1035 – 1040, 2011.
• D. Markonis, A. Depeursinge, I. Eggel, A. Foncubierta-Rodríguez and H. Müller, Accessing the medical literature with content-based visual retrieval and text retrieval techniques, RSNA Proceedings, 2011.
• D. Buffoni, S. Tollari, P. Gallinari. A Learning to Rank framework applied to text-image retrieval, Multimedia Tools and Applications, 2011.
• D. Buffoni, S. Tollari, P. Gallinari. The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank. ECIR 2011 - Advances in Information Retrieval, Proceedings of the 33rd European Conference on IR Research, LNCS 6611, pages 743-746, 2011.
• K. Sechidis, G. Tsoumakas, I. Vlahavas. On the stratification of multi-label data. ECML PKDD 2011 - Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III , pages 145-158, 2011
• H. Le Borgne, P. Muñoz-Fuentes. NonParametric Estimation of Fisher Vectors to aggregate Image Descriptors. ACIVS 2011 - Proceedings of the Conference on Advanced Concepts for Intelligent Vision Systems , LNCS 6915, 2011
• H. Wu, C. Tian. Thesaurus-Assistant Query Expansion for Context-based Medical Image Retrieval. PCM 2011 - Proceedings of the 12th Pacific-Rim Conference on Multimedia, 2011.

• MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support

  • R. Donner, S. Haas, A. Burner, M. Holzer, H. Bischof, G. Langs. Evaluation of Fast 2D and 3D Medical Image Retrieval Approaches based on Image Miniatures, Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.
  • S. Haas, R. Donner, A. Burner, M. Holzer, G. Langs. SuperPixel-based Interest Points for Effective Bags of Visual Words Medical Image Retrieval, Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.
  • M. M. Rahman, S. K. Antani, G. R. Thoma. Biomedical Image Retrieval using Multimodal Context and Concept Feature Spaces. Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.
  • O. Pauly, D. Mateus, N. Navab. Building Implicit Dictionaries based on Extreme Random Clustering for Modality Recognition. Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.
  • J. Mata, M. Crespo, M.J. Maña. Using MeSH to Expand Queries in Medical Image Retrieval. Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.

2010

• L. Yang, R. Jin, L. Mummert, R. Sukthankar, A. Goode, B. Zheng, S.C.H. Hoi, M. Satyanarayanan A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(1), 30-44, 2010.
• K.S. Bhat, M.O. Berger, G. Simon, F. Sur. Transitive Closure based visual words for point matching in video sequence. Proceedings of the 20th International Conference on Pattern Recognition (ICPR), pages 3300-3303, 2010.
• D. You, S. Antani, D. Demner-Fushman, M. Rahman, V. Govindaraju, and G. R. Thoma. Biomedical article retrieval using multimodal features and
  image annotations in region-based CBIR. DDR 2010 - Proceedings of Document Recognition and Retrieval XVII, SPIE volume 7534, 2010.
• K. Zagoris, A. Arampatzis, and S. A. Chatzichristofis. www.MMRetrieval.net: A Multimodal Search Engine. SISAP 2010 - Proceedings of the 3rd International Conference on SImilarity Search and APplications, 2010.
• T. Mensink, J. J. Verbeek, G. Csurka. Trans Media Relevance Feedback for Image Autoannotation. BMVC 2010 - Proceedings of the British Machine Vision Conference, 2010.
• M. M. Rahman, S. K. Antani, G. R. Thoma. A Classification-Driven Similarity Matching Framework for Retrieval of Biomedical Images. MIR 2010 - Proceedings of the 11th ACM International Conference on Multimedia Information Retrieval, 2010.
• A. Binder, W. Wojcikiewicz, C. Müller, M. Kawanabe. A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. ACCV 2010 - Proceedings of the 10th Asian Conference on Computer Vision, Revised Selected Papers, Part III, LNCS 6494, pages 95-108, 2010.
• H. Madzin, R. Zainuddin. Shape-based Medical Image Indexing using Local Moment invariant Analysis. ISITS 2010 - Intelligent Systems and Information
  Technology Symposium, 2010.
• J. Martinez-Gomez, B. Caputo. Towards Semi-Supervised Learning of Semantic Spatial Concepts for Mobile Robots. Journal of Physical Agents, 4(3), pages 19-31, 2010.
• J. C. Caicedo, J. G. Moreno, E. A. Niño, F. A. González. Combining Visual Features and Text Data for Medical Image Retrieval Using Latent Semantic Kernels. MIR2010 - Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, pages 359-366, 2010.
• H. Le Borgne, N. Honnorat. Fast shared boosting for large-scale concept detection. Multimedia Tools and Application, Springer, 2010.
• H. Le Borgne, N. Honnorat. Fast shared boosting: application to large-scale visual concept detection. CBMI 2010 - Proceedings of the International Workshop on Content-Based Multimedia Indexing, pages 13-18, 2010.
• H. Wu, H. Zhang, C. Li. Medical Image Classification with Multiple Kernel Learning. ICIMCS 2010 - Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010.
• B.C. Chien, C.H. Hu, M.Y. Ju Ontology-Based Information Retrieval Using Fuzzy Concept Documentation. Cybernetics and Systems: An International Journal, 41(1), pages 4-16, 2010.
• J. Yang, Y. Li, Y. Tian, L.-Y. Duan, W. Gao. Per-sample multiple kernel approach for visual concept learning. Journal of Image and Video Processing, Article 2, 2010
• L. Cao, A. Del Pozo, X. Jin, J. Luo, J. Han, T. S. Huang. RankCompete: simultaneous ranking and clustering of web photos. In Proceedings of the 19th international conference on World wide web (WWW), pages 1071-1072, 2010.
• C. Moulin, C. Largeron, M. Gery. Impact of visual information on text and content based image retrieval. In Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition (SSPR & SPR), pages 159-169, 2010.
• R. Paredes. Large-scale text to image retrieval using a Bayesian K-neighborhood model. In Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition (SSPR & SPR), pages 483-492, 2010.
• J. Kalpathy-Cramer, W. Hersh. Multimodal medical image retrieval: image categorization to improve search precision. In Proceedings of the international conference on Multimedia information retrieval (MIR), 2010.
• M.S. Simpson, D. Demner-Fushman, G.R. Thoma. Evaluating the importance of image-related text for ad-hoc and case-based biomedical article retrieval. In AMIA Annual Symposium Proceedings pages 752-756, 2010.
• M.B. Belgacem, M. Niinimaki, N. Abdennadher. Programming distributed medical applications with XWCH2. In Healthgrid Applications and Core Technologies: Proceedings of HealthGrid, 2010.
• X. S. Zhou, Z. Peng, Y. Zhan, M. Dewan, B. Jian, A. Krishnan, Y. Tao, M. Harder, S. Grosskopf, U. Feuerlein. Redundancy, redundancy, redundancy: the three keys to highly robust anatomical parsing in medical images. In Proceedings of the international conference on Multimedia information retrieval (MIR), 2010.
• A. Llorente, R. Manmatha, S. Rüger. Image retrieval using Markov Random Fields and global image features. In Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR), pages 243-250, 2010.
• L. Kaliciak, D. Song, N. Wiratunga, J. Pan. Novel local features with hybrid sampling technique for image retrieval. In Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM), 2010.
• P. Wilkins, A. F. Smeaton, P. Ferguson. Properties of optimally weighted data fusion in CBMIR. In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR), pages 643-650, 2010.
• T.T. Pham, P. Mulhem, L. Maisonnasse. Spatial relationships in visual graph modeling for image categorization. In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR), pages 729-730, 2010.
• T.T. Pham, P. Mulhem, L. Maisonnasse. Relations explicites entre différentes représentations d'image dans un modèle de graphe visuel. Proceedings of CORIA, pages 211-222, 2010.
• U. Avni, J. Goldberger, M. Sharon, E. Konen, H. Greenspan. Chest x-ray characterization: from organ identification to pathology categorization. In Proceedings of the international conference on Multimedia information retrieval (MIR), pages 155-164, 2010.
• H. Glotin, Z.Q. Zhao, J. Gao, X. Wu. A matrix modular SVM robust to imbalanced data for efficient visual concept detection. In Proceedings of the international conference on Multimedia information retrieval (MIR), pages 333-338, 2010.
• S. Paris, H. Glotin. Pyramidal multi-level features for the robot vision@ icpr 2010 challenge. In Proceedings of the 20th International Conference on Pattern Recognition (ICPR), pages 2949-2952, 2010.
• J. Min, J. Leveling, D. Zhou, G. J. F. Jones. 2010. Document expansion for image retrieval. In Adaptivity, Personalization and Fusion of Heterogeneous Information (RIAO), pages 65-71, 2010.
• C. Hernández-Gracidas, A. Juárez, L. E. Sucar, M. Montes-y-Gómez, L. Villaseñor. Data fusion and label weighting for image retrieval based on spatio-conceptual information. In Adaptivity, Personalization and Fusion of Heterogeneous Information (RIAO), pages 76-79, 2010.
• T. Leelanupab, G. Zuccon, J.M. Jose. When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval. In Proceedings of 6th Asia Information Retrieval Societies Conference (AIRS), pages 162-172, 2010.
• Sahbi, H., & Audibert, J. (2010, September). Network-dependent kernels for image ranking. In Proceedings of the 17th IEEE International Conference on Image Processing (ICIP), pages 2357-2360, 2010.
• V. A. Nguyen, J. A. Starzyk, A. L. P. Tay, W. B. Goh. Spatio-temporal sequence learning of visual place cells for robotic navigation. In Proceedings of The 2010 International Joint Conference on Neural Networks (IJCNN), pages 1-8, 2010.
• I. F. Amaral, F. Coelho, J. F. P. da Costa, J. S. Cardoso. Hierarchical medical image annotation using SVM-based approaches. In Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), pages 1-5, 2010.
• D. A. Castro, L. Seijas. Image retrieval based on text and visual content using neural networks. Journal of Applied Computer Science Methods (ACSM 2010), 2(1), 21-39, 2010.
• O. Chávez, E. Sucar, M. Montes. Image re-ranking based on relevance feedback combining internal and external similarities. In Proceedings of the 23rd International FLAIRS Conference, 2010.
• S. Navarro, F. Llopis, R. Muñoz. Using evidences based on natural language to drive the process of fusing multimodal sources. In Proceedings of the 14th International Conference on Applications of Natural Language to Information Systems, NLDB, pages 24-35, 2010.
• T. Mensink, J. Verbeek, G. Csurka. Trans Media Relevance Feedback for Image Autoannotation. Proceedings of the British Machine Vision Conference (BMVC), 2010.
• M. Sjöberg, M. Koskela, V. Viitaniemi, J. Laaksonen. Indoor location recognition using fusion of SVM-based visual classifiers. In Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pages 343-348, 2010.
• A. Juárez-González, M. Montes-y-Gómez, L. Villaseñor-Pineda, D. Pinto-Avendaño, M. Pérez-Coutiño. Selecting the n-top retrieval result lists for an effective data fusion. In Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing (CICLing), pages 580-589, 2010.
• P. B. Myszkowski. Coevolutionary algorithm for rule induction. In Proceedings of the 2010 International Multiconference on Computer Science and Information Technology (IMCSIT), pages 73-79, 2010.
• G. Mihai, A. Doringa, L. Stanescu. A graphical interface for evaluating three graph-based image segmentation algorithms. In Proceedings of the 2010 International Multiconference on Computer Science and Information Technology (IMCSIT), pages 735-740, 2010.
• S. Tollari, M. Detyniecki, A. Fakeri-Tabrizi, C. Marsala, M.-R. Amini, P. Gallinari. Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. RSTI - Document Numérique - 13/2010. Recherche d'information, pages 187-209, 2010.
• S. Ordoñez-Salinas, A. Gelbukh. Information retrieval with a simplified conceptual graph-like representation. In Proceedings of the 9th Mexican International Conference on Artificial Intelligence (MICAI ), pages 92-104, 2010.
• K. Trojacanec, G. Madzarov, D. Gjorgjevikj, S. Loskovska. Classification of magnetic resonance images. In Proceedings of the 32nd International Conference on Information Technology Interfaces (ITI), pages 597-602, 2010.
• I. Kitanovski, K. Trojacanec, S. Loskovska. Influence of Segmentation over Magnetic Resonance Image Classification. ICT Innovations 2010, Web proceedings, pages 241-250, 2010.
• A. Llorente. Semantics and statistics for automated image annotation. PhD thesis, The Open University, UK, 2010.
• J. Rodríguez Povedano. Anotación automática de imágenes. PhD thesis, Universidad Carlos III de Madrid, Spain, 2010.
• D He. Three new methods for color and texture based image matching in Content-Based Image Retrieval, PhD Thesis, Dalhousie University, Canada, 2010.
• L. Xing. Multi-cue visual place classification for mobile robotic system, MSc Thesis, Royal Institute of Technology, Stockholm, Sweden, 2010.
• R.T. Calumby. Multimodal image retrieval with relevance feedback based on genetic programming. MSc Thesis. Universidade Estadual de Campinas, São Paulo, Brazil, 2010.

• ICPR 2010 ImageCLEF contest

  • A. Revuelta-Martínez, I. García-Varea, J. Miguel Puerta, L. Rodríguez. ISDM at ImageCLEF 2010 Fusion Task. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 109-118, 2010.
  • S. Kreft, B. Bustos. Rank-Mixer and Rank-Booster: Improving the Effectiveness of Retrieval Methods. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 119-128, 2010.
  • X. Zhou, A. Depeursinge, H. Müller. Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 129-137, 2010.
  • I. Dimitrovski, D. Kocev, S. Loskovska, S. Dzeroski. Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 152-161, 2010.
  • M. Atif Tahir, F. Yan, M. Barnard, M. Awais, K. Mikolajczyk, J. Kittler. The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 162-170, 2010.
  • F. Fraundorfer, C. Wu, M. Pollefeys. Methods for Combined Monocular and Stereo Mobile Robot Localization. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 180-189, 2010.
  • M. Sjöberg, M. Koskela, V. Viitaniemi, J. Laaksonen. PicSOM Experiments in ImageCLEF RobotVision. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 190-199, 2010.
  • J. Martínez-Gómez, A. Jiménez-Picazo, J. A. Gámez, I. García-Varea. Combining Image Invariant Features and Clustering Techniques for Visual Place Classification. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 200-209, 2010.

• MICCAI 2009 Workshop on Medical Content-based Retrieval for Clinical Decision Support

  • Y. Tao, Z. Peng, B. Jian, J. Xuan, A. Krishnan, X.S. Zhou. Robust learning-based annotation of medical radiographs. In Medical Content-Based Retrieval for Clinical Decision Support, MICCAI workshop, pages 77-88, 2010.
  • D. Unay, O. Soldea, A. Ekin, M. Cetin, A. Ercil. Automatic annotation of X-ray images: a study on attribute selection. In Medical Content-Based Retrieval for Clinical Decision Support, MICCAI workshop, pages 97-109, 2010.
  • M. M. Rahman, S. K. Antani, R. L. Long, D. Demner-Fushman, G. R. Thoma. Multi-modal query expansion based on local analysis for medical image retrieval. In Medical Content-Based Retrieval for Clinical Decision Support, MICCAI workshop, pages 110-119, 2010

2009

• T. Deselaers, T. Gass, P. Dreuw, H. Ney. Jointly optimising relevance and diversity in image retrieval. Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR), 2009.
• M. M. Rahman, P. Bhattacharya. Image retrieval with automatic query expansion based on local analysis in a semantical concept feature space. In Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR), 2009.
• G. Chen, J. Zhang, F. Wang, C. Zhang, Y. Gao Efficient multi-label classification with hypergraph regularization. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1658-1665, 2009.
• J. Yang, Y. Li, Y. Tian, L. Duan, W. Gao. Group-sensitive multiple kernel learning for object categorization Proceedings of the IEEE 12th International Conference on Computer Vision, pages 436-443, 2009.
• S.C.H. Hoi, R. Jin, J. Zhu, M.R. Lyu. Semisupervised SVM batch mode active learning with applications to image retrieval. ACM Transactions on Information Systems, 27(3) 2009.
• A. Llorente and S. Rüger. Using Second Order Statistics to Enhance Automated Image Annotation. Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval (ECIR), pages 570-577, 2009.
• J. Yang, Y. Li, Y. Tian, L. Duan, W. Gao. A new multiple kernel approach for visual concept learning. In Advances in Multimedia Modeling, Proceedings of the 15th International Multimedia Modeling Conference (MMM), pages 250-262, 2009.
• H. Glotin, Z.-Q. Zhao, S. Ayache. Efficient image concept indexing by harmonic & arithmetic profiles entropy. Proceedings of the 16th IEEE international conference on Image processing (ICIP), pages 277-280, 2009.
M.C. Díaz-Galiano, M. T. Martín-Valdivia, L.A. Ureña-López. Query expansion with a medical ontology to improve a multimodal information retrieval system. Computers in Biology and Medicine, 39(4), pages 396-403, 2009.
• A. Juárez-González, M. Montes-y-Gómez, L. Villaseñor-Pineda, D. Ortíz-Arroyo . On the Selection of the Best Retrieval Result Per Query---An Alternative Approach to Data Fusion---. In Proceedings of the 8th International Conference on Flexible Query Answering Systems (FQAS), pages 111-121, 2009.
• U. Avni, H. Greenspan, M., Sharon, E. Konen, J. Goldberger. X-ray image categorization and retrieval using patch-based visual words representation. Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pages 350-353, 2009.
• T.M. Deserno, S. Antani, L. Rodney Long. Content-based image retrieval for scientific literature access. Methods of information in medicine, 48(4), 371, 2009.
• A. Névéol, T.M. Deserno, S.J. Darmoni, M.O. Güld, A.R. Aronson. Natural language processing versus content‐based image analysis for medical document retrieval. Journal of the American Society for Information Science and Technology, 60(1), pages 123-134, 2009.
• T. Tommasi, B. Caputo. The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories. Proceedings of British Machine Vision Conference, pages 1-11, 2009.
• I. Eggel, H. Müller. Combination of visual and textual similarity retrieval from medical documents. Studies in Health Technology and Informatics 150:841-5, 2009.
• S.A. Chatzichristofis, Y.S. Boutalis. Content based medical image indexing and retrieval using a fuzzy compact composite descriptor. Proceedings of the Sixth IASTED international conference on signal processing, pattern recognition and applications (SPPRA), pages 1-6, 2009.
• G. Smith, H. Ashman. Evaluating implicit judgements from image search interactions. Proceedings of the Web Science Conference: Society On-Line (WebSci), 2009.
• D.M. Eler, M.Y. Nakazaki, F.V. Paulovich, D.P. Santos, G.F. Andery, M.C.F. Oliveira, J.B. Neto, R. Minghim. Visual analysis of image collections. The Visual Computer, 25(10), pages 923-937, 2009.
• D. You, E. Apostolova, S. Antani, D. Demner-Fushman, and G. R. Thoma. Figure content analysis for improved biomedical article retrieval. DDR 2009 - Proceedings of Document Recognition and Retrieval XVI, SPIE volume 7247, 2009.
• D. Demner-Fushman, S. Antani, M. Simpson, G. R. Thoma. Annotation and retrieval of clinically relevant images. International Journal Medical Informatics, 78(12), pages 59-67, 2009.
• J. Ah-Pine, M. Bressan, S. Clinchant, G. Csurka, Y. Hoppenot, J.-M. Renders, Crossing textual and visual content in different application scenarios. Multimedia Tools and Applications, 41(1), 2009.
• S. Tollari, M. Detyniecki, C. Marsala, A. Fakeri-Tabrizi, M. R. Amini, P. Gallinari. Exploiting Visual Concepts to Improve Text-Based Image Retrieval. ECIR 2009 - Advances in Information Retrieval, Proceedings of the 31st European Conference on IR Research, LNCS 5468, pages 701-705, 2009.
• H. J. Escalante, M. Montes, E. Sucar. On Multimedia Retrieval Baselines. PI 2009 - Proceedings of the VI CIMAT Workshop on Image Processing, 2009.
• H. Madzin, R. Zainuddin. Medical Image Analysis using Local Invariant Features – Interest Points. ICSECS 2009 - Proceedings of the International Conference of Software Engineering & Computer Systems, pp 303-307, 2009.
• S. Land, M.H. Wilkinson. A comparison of spatial pattern spectra. Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, pages 92-103, 2009.
• O. El Demerdash, L. Kosseim, S. Bergler. Semantic inter-media image retrieval in photographic collections. Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), pages. 1-5, 2009.
• P. Milne, N. Wiratunga, R. Lothian, D. Song. Reuse of search experience for resource transformation. Proceedings of the Workshop on Reasoning from Experiences on the Web (WebCBR), 2009.
• D. Aleksovski, D. Kocev, S. Dzeroski. Evaluation of distance measures for hierarchical multilabel classification in functional genomics. Proceedings of the 1st International Workshop on Learning from Multi-Label Data, held in conjunction with ECML/PKDD, 2009.
• T. Leelanupab, M. Halvey, J.M. Jose. Application and evaluation of multi-dimensional diversity. Proceedings of the Theseus/ImageClef 2009 Workshop, 2009.
• T. Nomura, K Yamauchi, T.Takagi. Context Aware Query Refinement System using Conceptual Fuzzy Sets and Generation Method Employing Fuzzy Clustering, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 21(2), pages 175-183, 2009.
• J.W. Cooper, S. Ebadollahi, E. Eide. A Thin Client Interface to a High Performance Multi-modal Image Analytics System. Proceedings of the 42nd Hawaii International Conference on System Sciences (HICSS), pages 1-8, 2009.
• J. Shim, K. Park, B. Ko, J. Nam. X-Ray image classification and retrieval using ensemble combination of visual descriptors. In Advances in Image and Video Technology, Proceedings of the Third Pacific Rim Symposium (PSIVT), pages pp. 738-747, 2009.
• S. Tollari, M. Detyniecki, A. Fakeri-Tabrizi, C. Marsala, M.R. Amini, P. Gallinari. Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. Proceedings of CORIA, pages 83-98, 2009.
• S. Navarro, R. Munoz, F. Llopis. Evaluación de una Estrategia de Expansión Local Conservadora en Recuperación de Información Visual. Procesamiento del lenguaje natural, 42, pages 31-38, 2009.
• A.M. Ráez, M.C. Díaz-Galiano, J.M. Perea-Ortega, L.A. López. Aplicación de la realimentación por relevancia con base textual para sistemas de recuperación visual. Procesamiento del lenguaje natural, 43, pages 177-183, 2009.
• C. Lemaître, C. Moulin, C. Barat, C.Ducottet Combinaison d'information visuelle et textuelle pour la recherche d'information multimédia. In XXIIe colloque GRETSI (traitement du signal et des images), 2009.
• N. Honnorat, H. Le Borgne. Accélérer le boosting avec partage de caractéristiques. 13èmes journées d'étude et d'échange COmpression et REprésentation des Signaux Audiovisuels (CORESA), 2009.
• J. Camargo, F. González, R. Torres. Visualization of large collections of medical images. Proceedings of the VI Congreso Colombiano de Computacion, 2009.
• C. Hernández-Gracidas, L. Sucar, M. Montes y Gómez. Modeling spatial relations for image retrieval by conceptual graphs. Proceedings of First Chilean Workshop on Pattern Recognition (CWPR), 2009.
• R.O. Chávez, M. Montes, E. Sucar. Mejora del ordenamiento en la recuperación de imágenes utilizando atributos textuales y un campo aleatorio de Markov. Proceedings of First Chilean Workshop on Pattern Recognition (CWPR), 2009.
• A. Juárez-GonzálezA Dynamic Fusion Method Applied to Information Retrieval. Doctoral Consortium of the Mexican International Conference on Artificial Intelligence (MICAI), 2009.
• P. Wilkins. An investigation into weighted data fusion for content-based multimedia information retrieval, PhD Thesis, Dublin City University, Ireland, 2009.
• M. Torjmen. Approches de recherche multimédia dans des documents semi-structurés : utilisation du contexte textuel et structurel pour la sélection d'objets multimédia, Université Toulouse III - Paul Sabatier, France, 2009.
• T.H.D. Le. Utilisation de ressources externes dans un modèle Bayésien de Recherche d'Information. Application à la recherche d'information multilingue avec UMLS. PhD Thesis, Université Joseph-Fourier - Grenoble I, France, 2009.
• D.A. Castro. Recuperación de imágenes basada en texto y contenido visual mediante redes neuronales. Master Thesis, Universidad de Buenos Aires, Argentina, 2009.
• P. Grover. Diversity Inclusion in Image Retrieval: Use of Visual Concepts. Bachelor Thesis, Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India, 2009.

2008

• T. Deselaers. Image Retrieval, Object Recognition, and Discriminative Models, PhD Thesis, RWTH Aachen University, 2008.
• T. Deselaers, R. Paredes, E. Vidal, H. Ney. Learning weighted distances for relevance feedback in image retrieval. Proceedings of the 19th International Conference on Pattern Recognition,, pages 1-4, 2008.
• T. Deselaers, D. Keysers, H. Ney. Features for image retrieval: an experimental comparison. Information Retrieval, 11(2), pages 77-107, 2008.
• J. Yao, Z. M. Zhang, S. Antani, R. Long, G. Thoma. Automatic medical image annotation and retrieval. Neurocomputing, 71(10), pages 2012-2022, 2008.
• P.C. Cheng, B.C. Chien, H.R. Ke, W.P. Yang. A two-level relevance feedback mechanism for image retrieval. Expert Systems with Applications, 34(3), pages 2193-2200, 2008.
• M.M. Rahman, B.C. Desai, P. Bhattacharya. Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion. Computerized Medical Imaging and Graphics, 32(2), pages 95-108, 2008.
• H. J. Escalante, C. Hernandez, E. Sucar, M. Montes. Late Fusion of Heterogeneous Methods for Multimedia Image Retrieval. MIR 2008 - Proceedings of the 2008 ACM Multimedia Information Retrieval Conference, pages 172-179, 2008.
• J.H. Lim, J. P. Chevallet, D.T.H. Le, H. Goh. Bi-modal conceptual indexing for medical image retrieval. Proceedings of the 14th International Multimedia Modeling Conference (MMM), pages 456-465, 2008.
• Jayashree Kalpathy-Cramer, William Hersh, Steven Bedrick, Henning Müller. Query Analysis to Improve Medical Image Retrieval, SIIM 2008, Seattle, USA, 2008.
• G. Tian, H. Fu, D.D. Feng. Automatic medical image categorization and annotation using LBP and MPEG-7 edge histograms. Proceedings of International Conference on Information Technology and Applications in Biomedicine (ITAB), pages 51-53, 2008.
• T. Gass, A. Depeursinge, A. Geissbuhler, H. Müller. Learning a frequency–based weighting for medical image classification. Proceedings of the 2nd International Conference on Medical Imaging and Informatics, pages 99-108, 2008.
• E. Uwimana, M.E Ruiz. Integrating an automatic classification method into the medical image retrieval process. Proceedings of the AMIA Annual Symposium, 2008.
• E. Uwimana, M.E. Ruiz.. Automatic classification of medical images for Content Based Image Retrieval Systems (CBIR). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 52(12), pages 788-792, 2008.
• M. J. Pitkanen, X. Zhou, A. Hyvarinen, H. Muller. Using the grid for enhancing the performance of a medical image search engine. Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, (CBMS), pages 367-372, 2008
• E. Maisonnasse, É. Gaussier, J.P. Chevallet. Modélisation de relations dans l'approche modèle de langue en recherche d'information. Proceedings of CORIA, pages 305-319, 2008.
• P.T. Ton, J.P. Chevallet, L.J. Hwee. Fusion de multi-modalités et réduction par sémantique latente. Proceedings of CORIA, 2008.
• S. Gao, J.P. Chevallet, J. H. Lim. Rich representation and ranking for photographic image retrieval in ImageCLEF 2007. Proceedings of the IEEE 10th Workshop on Multimedia Signal Processing, pages 553-557, 2008.
• M. Niinimaki, X. Zhou, A. Depeursinge, A. Geissbuhler, H. Muller. Building a community grid for medical image analysis inside a hospital, a case study. Proceedings of the MICCAI-Grid Workshop, pages 3-12, 2008.
• X. Zhou, M.J. Pitkanen, A. Depeursinge, H. Muller. Using Grid Technologies To Speed Up Feature Extraction in Medical Image Retrieval. Philippine Journal of Information Technology, 2008.
• J. Kürsten, T. Wilhelm, M. Eibl. Extensible Retrieval and Evaluation Framework: Xtrieval. Proceedings of the LWA workshop, pages 107-110, 2008.
• M. Bressan, G. Csurka, Y. Hoppenot, J.-M. Renders. Travel Blog assistant system, VISAPP Workshop on Multimedia Mining for Image Understanding,
  2008.
• D.M. Eler, M.Y. Nakazaki, F.V. Paulovich, D.P. Santos, M. Oliveira, J.E. Neto, R. Minghim. Multidimensional visualization to support analysis of image collections. Proceedings of the XXI Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI), pages 289-296, 2008.
• Ioan Buciu and Ioan Nafornita. Non-negative Matrix Factorization Methods and their Applications. From Natural Language to Soft Computing: New Paradigms in Artificial Intelligence, ICCC workshop, 2008.
• A. Llorente, S. Rüger. Can a probabilistic image annotation system be improved using a co-occurrence approach. Proceedings of the Workshop on Cross-Media Information Analysis, Extraction and Management at the 3rd International Conference on Semantic and Digital Media Technologies, 2008.
• K. Markó. Foundation, Implementation and Evaluation of the MorphoSaurus System. PhD Thesis, Freiburg, Germany, 2008.
• J.C.C. Rueda. A Prototype System to Archive and Retrieve Histopathology Images by Content. Master Thesis. National University of Colombia, 2008.
• A. Fakeri-Tabrizi. Recherche d'images par combinaison d'attributs textuels-visuels par algorithme d'ordonnancement. Master Thesis. Universite Pierre et Marie Curie-Paris 6, France, 2008.

• Special Issue on Medical Image Annotation in ImageCLEF 2007

  • T. Tommasi, F. Orabona, B. Caputo. Discriminative cue integration for medical image annotation, Pattern Recognition Letters, 29(15), pages 1996-2002, 2008.
  • T. Deselaers, H. Ney. Deformations, patches, and discriminative models for automatic annotation of medical radiographs, Pattern Recognition Letters, 29(15), pages 2003-2010, 2008.
  • X. Zhou, A. Depeursinge, H. Müller. Hierarchical classification using a frequency-based weighting and simple visual features, Pattern Recognition Letters, 29(15), pages 2011-2017, 2008.
  • M. Springmann, A. Dander, H. Schuldt. Improving efficiency and effectiveness of the image distortion model, Pattern Recognition Letters, 29(15), pages 2018-2024, 2008.
  • M. O. Güld, C. Thies, B. Fischer, T. M. Deserno. A framework and baseline results for the CLEF medical automatic annotation task, Pattern Recognition Letters, 29(15), pages 2025-2031, 2008.
  • J. Kalpathy-Cramer, W. Hersh. Effectiveness of global features for automatic medical image classification and retrieval – The experiences of OHSU at ImageCLEFmed, Pattern Recognition Letters, 29(15), pages 2032-2038, 2008.
  • L. Setia, A. Teynor, A. Halawani, H. Burkhardt. Grayscale medical image annotation using local relational features, Pattern Recognition Letters, 29(15), pages 2039-2045, 2008.
  • S Sedghi, M Sanderson, P. Clough. A study on the relevance criteria for medical images, Pattern Recognition Letters, 29(15), pages 2046-2057, 2008.

2007

• D. Keysers, T. Deselaers, C. Gollan, H. Ney. Deformation Models for Image Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.
• W.C. Lin, Y.C. Chang, H.H. Chen. Integrating textual and visual information for cross-language image retrieval: A trans-media dictionary approach. Information processing & management, 43(2), pages 488-502, 2007.
• L. Maisonnasse, E. Gaussier, and J.P. Chevallet. Revisiting the dependence language model for information retrieval. Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007
• J. Kalpathy-Cramer, W. Hersh. Automatic image modality based classification and annotation to improve medical image retrieval. Proceedings of MedInfo, 2007.
• T.T. Pham, N.E. Maillot, J.H. Lim, and J.P. Chevallet. Latent semantic fusion model for image retrieval and annotation. Proceedings of the sixteenth ACM conference on information and knowledge management (CIKM), 2007.
• D.T.H. Le, J.P. Chevallet, D.T.B. Thuy: Thesaurus-based query and document expansion in conceptual indexing with UMLS: Application in medical information retrieval. Proceedings of the IEEE International Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies, pages 242-246, 2007.
• Y. Hu, M. Li, Z. Li, W. Ma. Dual-Space pyramid matching for medical image classification. Proceedings of the 13th International Multimedia Modeling Conference (MMM), 2007.
• M.C. Díaz-Galiano, M.T. Martín-Valdivia, A. Montejo-Ráez, L.A. Urea-Lopez, L. Improving Performance of Medical Images Retrieval by Combining Textual and Visual Information. Proceedings of the Sixth Mexican International Conference on Artificial Intelligence (MICAI), pages 185-192, IEEE, 2007.
• V. Viitaniemi, J. Laaksonen. Empirical investigations on benchmark tasks for automatic image annotation. Advances in Visual Information Systems, 9th International Conference (VISUAL), 2007.
• K. Marko, P. Daumke, S. Schulz, R. Klara, U. Hahne. Large-scale evaluation of a medical cross-language information retrieval system. Proceedings of the 12th World Congress on Health (Medical) Informatics (MedInfo): Building Sustainable Health Systems, Vol. 129, pages 392-396, 2007.
• W. Xiong, S.H. Ong, J.H. Lim, Q. Tian, C. Xu, N. Zhang, K. Foong. Outlier detection from pooled data for image retrieval system evaluation. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2007.
• J. Y. Chai, C. Zhang, R. Jin. 2007. An empirical investigation of user term feedback in text-based targeted image search. ACM Transactions on Information Systems 25(1):Article 3, 2007.
• M. Á. García-Cumbreras, M.T. Martín-Valdivia, L.A. Ureña-López, M.C. Díaz-Galiano, A. Montejo-Ráez. Using Translation Heuristics to Improve a Multimodal and Multilingual Information Retrieval System. In Proceedings of the 7th International Workshop on Fuzzy Logic and Applications (WILF), pages 438-446, 2007.
• B.C. Chien, C.H. Hu, M.Y. Ju. Intelligent information retrieval applying automatic constructed fuzzy ontology. Proceedings of International Conference on Machine Learning and Cybernetics, 2007.
• F. Florea, V. Buzuloiu, A. Rogozan, A. Bensrhair, S. Darmoni. Automatic Image Annotation Combining the Content and the Context of Medical Images. In International Symposium on Signals, Circuits and Systems (ISSCS), Vol. 1, pages 1-4, IEEE, 2007.
• C. Lacoste, J.H. Lim, J.P. Chevallet, D.T.H. e. Medical-image retrieval based on knowledge-assisted text and image indexing. IEEE Transactions on Circuits and Systems for Video Technology 17(7), 2007.
• J.H. Lim, C. Lacoste, J.P. Chevallet, D. T. H. Le. Knowledge-Assisted Medical Image Retrieval. Proceedings of the IEEE International Conference on Multimedia and Expo, pages 791-794, 2007.
• D.T.H. Le. Exploration de connaissances dans UMLS pour la recherche d'information médicale: Vers un model Baysien d'indexation. Proceedings of CORIA, 2007.
• M. Springmann, L. Bischofs, P.M. Fischer, H.J. Schek, H. Schuldt, U. Steffens, R. Vogl. Management of and access to virtual electronic health records. In Digital Libraries: Research and Development, Proceedings of the First International DELOS Conference, pages 338-347, 2007.
• L. Maisonnasse, J.P. Chevallet, C. Berrut. Incomplete and fuzzy conceptual graphs to automatically index medical reports. In Proceedings of the 12th International Conference on Applications of Natural Language to Information Systems (NLDB), pages 240-251, 2007.
• J. Forster, T. Deselaers. Reducing time and RAM requirements in content-based image retrieval using retrieval filtering. Studienarbeit, RWTH Aachen University, 2007.
• M. Inoue. Mining visual knowledge for multi-lingual image retrieval. In 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW), Volume 1, pages 307-312, IEEE, 2007.
• M.C.D. Galiano, M.T.M. Valdivia, A.M. Raez, L.A.U. López. Mejora de los sistemas multimodales mediante el uso de ganancia de información. Procesamiento de Lenguaje Natural, 38, 2007.
• Y. Liu. Semi-Supervised Learning with Side Information: Graph-Based Approaches. Ph.D. Dissertation. Michigan State University, East Lansing, MI, USA, 2007.
• P. D. Howarth. Discovering images: features, similarities and subspaces. Ph.D. Dissertation, University of London, UK, 2007.

2006

• T. Deselaers, A. Hegerath, D. Keysers, H. Ney. Sparse Patch-Histograms for Object Classification in Cluttered Images. DAGM 2006 - Proceedings of the 28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174, pages 202-211, 2006.
• B. Qiu, D. Racoceanu, C.S. Xu, Q. Tian. Stripe: image feature based on a new grid method and its application in ImageCLEF. Proceedings of the Third Asia Information Retrieval Symposium (AIRS), pages 489-496, 2006.
• L. Setia, A. Teynor, A. Halawani, H. Burkhardt. Image classification using cluster cooccurrence matrices of local relational features. In Proceedings of the 8th ACM international workshop on Multimedia information retrieval (MIR), 2006.
• B. Qiu, C.S. Xu, Q. Tian. An automatic classification system applied in medical images. Proceedings of the IEEE International Conference on Multimedia and Expo, 2006.
• S. Radhouani, J.H. Lim, J.P. Chevallet, G. Falquet. Combining textual and visual ontologies to solve medical multimodal queries. Proceedings of the IEEE International Conference on Multimedia and Expo, 2006.
• B. Qiu, C.S. Xu, Q. Tian. Efficient Relevance Feedback Using Semi-supervised Kernel-specified K-means Clustering. Proceedings of the 18th International Conference on Pattern Recognition( ICPR), 2006.
• Y. Liu, R. Jin, L. Yang. Semi-supervised multi-label learning by constrained non-negative matrix factorization. Proceedings of the National Conference on Artificial Intelligence (AAAI), 2006.
• J. Yao, Z. Zhang, S. Antani, R. Long, G. Thoma. Automatic medical image annotation and retrieval using SEMI-SECC. Proceedings of the IEEE International Conference on Multimedia and Expo, 2006.
• J. Yao, S. Antani, R. Long, G. Thoma, Z. Zhang. Automatic Medical Image Annotation and Retrieval Using SECC. Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2006.
• M.H. Hsu and H.H. Chen. Information retrieval with commonsense knowledge. Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006.
• J.P. Chevallet, N. Maillot, J.H. Lim. Concept propagation based on visual similarity. Proceedings of the Third Asia Information Retrieval Symposium (AIRS), 2006.
• M.E. Ruiz. Combining image features, case descriptions and UMLS concepts to improve retrieval of medical images. Proceedings of AMIA, 2006.
• M. Wu, R. Jin. 2006. A graph-based framework for relation propagation and its application to multi-label learning. Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006
• Martins, B., Silva, M. J., Freitas, S., & Afonso, A. P. (2006). Handling Locations in Search Engine Queries. Proceedings of the SIGIR Workshop on Geographic Information Retrieval, 2006.
• P. Clough, M. Sanderson. User experiments with the Eurovision cross‐language image retrieval system. Journal of the American Society for Information Science and Technology, 57(5), 697-708, 2006.
• H. Müller, J. Heuberger, A. Depeursinge, A. Geissbühler. Automated object extraction for medical image retrieval using the insight toolkit (ITK). In Proceedings of Third Asia Information Retrieval Symposium (AIRS), 2006.
• H. Müller, P. Ruch, A. Geissbühler. Enriching content-based image retrieval with multilingual search terms. Swiss Medical Informatics 54: 6, 2006.
• H.H. Chen, Y.C. Chang. Language translation and media transformation in cross-language image retrieval. Proceedings of the 9th International Conference on Asian Digital Libraries (ICADL), 2006.
• P.C. Cheng, B.C. Chien, H.R. Ke, W.P. Yang. Using ontological chain to resolve the translation ambiguity of cross-language information retrieval. In Proceedings of the 5th WSEAS International Conference on Telecommunications and Informatics, pages 446-451, 2006.
• S. Radhouani, G. Falquet. Using External Knowledge to Solve Multi-Dimensional Queries. Proceedings of the 13th ISPE International Conference on Concurrent Engineering: Research and Applications (CE), pages 426-437, 2006.
• C. Terboven, T. Deselaers, C. Bischof, H. Ney. Shared-memory parallelization for content-based image retrieval. In ECCV 2006 Workshop on Computation Intensive Methods for Computer Vision (CIMCV), 2006.
• F. Kang, R. Jin, R. Sukthankar. Correlated label propagation with application to multi-label learning. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, pages 1719-1726, 2006.
• A. M. García-Serrano, J.L. Martínez-Fernández, P. Martínez. Experiences in evaluating multilingual and text-image information retrieval. International Journal of Intelligent Systems, 21: 655–677, 2006.
• D. Keysers. Modeling of image variability for recognition. Ph. D. dissertation, Technische Hochschule Aachen, Germany, 2006.
• J. Yao. Developing Machine Learning Techniques for Real World Applications. Ph.D. Dissertation. State University of New York, Binghamton, NY, USA, 2006.
• G.R. Thoma, L. R. Long, S. Antani, S. Biomedical Imaging Research and Development: Knowledge from Images in the Medical Enterprise. Technical Report U.S. National Library of Medicine, 2006.

2005

• P. Howarth and S. Rüger. Fractional distance measures for content-based image retrieval. Advances in Information Retrieval. Springer Berlin Heidelberg, pages 447-456, 2005.
• R. Jin and J. Y. Chai. Study of cross lingual information retrieval using on-line translation systems. Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, 2005.
• C. Zhang, J.Y. Chai, R. Jin. User term feedback in interactive text-based image retrieval. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, 2005
• W. Xiong, B. Qiu, Q. Tian, C. Xu, S.H. Ong, K. Foong. Content-based medical image retrieval using dynamically optimized regional features.Proceedings of the IEEE International Conference on Image Processing (ICIP), Vol. 3. IEEE, 2005.
• R. Marée, P Geurts, J Piater, L. Wehenkel. Biomedical image classification with random subwindows and decision trees. Proceedings of the Computer Vision for Biomedical Image Applications, LNCS 3765, pages 220-229, 2005.
• A.I. Oumohmed, M. Mignotte, J.Y. Nie. Semantic-based cross-media image retrieval. Proceedings of the Third International Conference on Advances in Pattern Recognition (ICAPR), pages 414-423, 2005.
• J.H. Lim, J.P. Chevallet. Vismed: a visual vocabulary approach for medical image indexing and retrieval. Proceedings of the Second Asia Information Retrieval Symposium (AIRS), pages 84-96, 2005.
• W. Xiong, B. Qiu, Q. Tian, H. Mueller, C. Xu. A novel content-based medical image retrieval method based on query topic dependent image features (QTDIF)", Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, 2005
• P. Howarth, S. Rüger. Robust texture features for still-image retrieval. IEE Proceedings-Vision, Image and Signal Processing, 2005.
• W. Xiong, B. Qiu, Q. Tian, C. Xu, S. H. Ong, K. Foong, J.P. Chevallet. MultiPRE: a novel framework with multiple parallel retrieval engines for content-based image retrieval. In Proceedings of the 13th annual ACM international conference on Multimedia (MULTIMEDIA '05), 2005.
• P. Clough, H. Joho, M. Sanderson. Automatically organising images using concept hierarchies. Proceedings of the Multimedia Workshop running at ACM SIGIR conference. 2005.
• R. Jin, J. Y. Chai, L. Si. Learn to weight terms in information retrieval using category information. In Proceedings of the 22nd international conference on Machine learning (ICML '05), 2005.
• W.C. Lin, Y.C. Chang, H.H. Chen. Integrating textual and visual information for cross-language image retrieval. Proceedings of the Second Asia Information Retrieval Symposium (AIRS), 2005.
• H. Müller, A. Rosset, A. Garcia, J.P. Vallée, A. Geissbuhler. Benefits of Content-based Visual Data Access in Radiology. RadioGraphics, 25, pages 849-858, 2005.
• H. Müller, J. Heuberger, A. Geissbuhler. Logo and text removal for medical image retrieval. Bildverarbeitung für die Medizin, 2005.
• P. Clough, M. Sanderson, X.M. Shou. Searching and organizing images across languages. Proceedings of the 8th Annual International Conference EVA, Moscow, 2005.
• P.C. Cheng, B.C. Chien, H.R. Ke, W.P. Yang. An Adaptive Relevance Feedback Mechanism for Image Retrieval. Proceedings of 2005 Workshop on the Sciences of the Artificial, HuaLien, Taiwan, pages 221-229, 2005

2004

• P. Clough and M. Sanderson. Relevance feedback for cross language image retrieval. Advances in Information Retrieval, Proceedings of ECIR. pages 238-252, 2004.
• P. Clough and M.Sanderson. Measuring pseudo relevance feedback & clir. Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 2004.
• H. Müller, P. Ruch, and A. Geissbühler. Enriching content-based image retrieval with multilingual search terms. Swiss Medical Informatics 21.54. pages 6-11, 2004.

Publications describing ImageCLEF and its resources in more detail

2016

• Ashnil Kumar, Shane Dyer, Jinman Kim, Changyang Li, Philip H.W. Leong, Michael Fulham, Dagan Feng, Adapting content-based image retrieval techniques for the semantic annotation of medical images, Computerized Medical Imaging and Graphics, Vol. 49, 2016, pp. 37-45, DOI: https://doi.org/10.1016/j.compmedimag.2016.01.001.




2015

• Jayashree Kalpathy-Cramer, Alba García Seco de Herrera, Dina Demner-Fushman, Sameer Antani, Steven Bedrick and Henning Müller, Evaluating performance of biomedical image retrieval systems - an overview of the medical image retrieval task at ImageCLEF 2004-2013 (2015), in: Computerized Medical Imaging and Graphics, 39:55-61




2012

• H. Müller, J. Kalpathy-Cramer, D. Demner-Fushman and S. Antani, Creating a Classification of Image Types in the Medical Literature for Visual Categorization, SPIE medical imaging, San Diego, USA, 2012
• Theodora Tsikrika, Jana Kludas, and Adrian Popescu. Building reliable and reusable test collections for image retrieval:The Wikipedia task at ImageCLEF. IEEE Multimedia, Special Issue on Large-Scale Multimedia Data Collections, 19(3):24-33, July-September 2012.




2010

• H. Müller, J. Kalpathy-Cramer. The ImageCLEF Medical Retrieval Task at ICPR 2010 – Information Fusion, ICPR 2010 – Proceedings of the 20th International Conference on Pattern Recognition, pages 3284-3287, 2010.
• S. Nowak. ImageCLEF@ ICPR Contest: Challenges, Methodologies and Results of the Photo Annotation Task, ICPR 2010 – Proceedings of the 20th International Conference on Pattern Recognition, pages 489-492, 2010.
• H. Müller, J. Kalpathy-Cramer. The ImageCLEF Medical Retrieval Task at ICPR 2010 – Information Fusion to Combine Visual and Textual Information, Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 99-108, 2010.
• S. Nowak. Overview of the photo annotation task in imageCLEF@ ICPR, Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 138-151, 2010.
• A. Pronobis, H. I. Christensen, B. Caputo. Overview of the imageCLEF@ ICPR 2010 robot vision track, Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 171-179, 2010.
• S. Nowak, A. Llorente, E. Motta, S. Rüger. The effect of semantic relatedness measures on multi-label classification evaluation, CIVR 2010 - Proceedings of the 2010 ACM International Conference on Image and Video Retrieval, 2010.
• S. Nowak, H. Lukashevich, P. Dunker, S. Rüger. Performance measures for multilabel evaluation: a case study in the area of image classification, MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval, pages 35-44, 2010.
• S. Nowak, S. Rüger. How reliable are annotations via crowdsourcing: a study about inter-annotator agreement for multi-label image annotation, MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval, 557-566, 2010.
• J. Kalpathy-Cramer, S. Bedrick, S. Radhouani, W. Hersh, I. Eggel, C.E. Kahn Jr., H. Müller. Retrieving Similar Cases from the Medical Literature-The ImageCLEF experience., Studies in Health Technology and Informatics, 160, pages 1189-1193, 2010.
• A. Pronobis, B. Caputo, P. Jensfelt, H.I. Christensen. A realistic benchmark for visual indoor place recognition, Robotics and Autonomous Systems, 58, 2010.
• A. Hanbury, H. Müller, P. Clough, Editorial: Special issue on image and video retrieval evaluation, Computer Vision and Image Understanding, 114(4), pages 409-410, 2010.
• H.J. Escalante, C.A. Hernández, J.A., Gonzalez, A. López-López, M. Montes, E.F. Morales, L. Enrique Sucar, L. Villaseñor, M. Grubinger. The segmented and annotated IAPR TC-12 benchmark, Computer Vision and Image Understanding, 114(4), pages 419-428, 2010.
• H. Müller, T. Tsikrika. Global Pattern Recognition: The ImageCLEF Benchmark, IAPR Newsletter, 32(1), pages 3—6, 2010.




2009

• W. Hersh, H. Müller, J. Kalpathy-Cramer. The ImageCLEFmed medical image retrieval task test collection, Journal of Digital Imaging, 22(6), pages 648-655, 2009.
• H. Müller, J. Kalpathy-Cramer, C.E. Kahn Jr, W. Hersh. Comparing the quality of accessing medical literature using content-based visual and textual information retrieval. Proceedings of SPIE Medical Imaging, 2009.
• H. Lukashevich, S. Nowak, P. Dunker. Using one-class SVM outliers detection for verification of collaboratively tagged image training sets, ICME 2009 - Proceedings of the IEEE International Conference on Multimedia and Expo, pages 682-685, 2009.
• S. Nowak, H. Lukashevich. Multilabel classification evaluation using ontology information, Proceedings of ESWC Workshop on Inductive Reasoning and Machine Learning on the Semantic Web, 2009.
• S. Nowak, P. Dunker. A Consumer Photo Tagging Ontology: Concepts and Annotations, Proceedings of the 2009 Theseus/ImageCLEF workshop on visual information retrieval evaluation, 2009.
• H. J. Escalante, M. Montes, E. Sucar. On the SAIAPR TC-12 benchmark, Proceedings of the 2009 Theseus/ImageCLEF workshop on visual information retrieval evaluation, 2009.
• M. L. Paramita, M. Sanderson, P. Clough. Developing a test collection to support diversity analysis, SIGIR 2009 Workshop: Redundancy, Diversity, and Interdependent Document Relevance, 2009.
• M. Sanderson, J. Tang, T. Arni, P. Clough. What Else Is There? Search Diversity Examined. Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval (ECIR), pp. 562-569, 2009.




2008

• T. Deselaers, H. Müller, T.M. Deserno. Editorial: Editorial to the Special Issue on Medical Image Annotation in ImageCLEF 2007, Pattern Recognition Letters, 29(15), pages 1987, 2008.
• T. Deselaers, T.M. Deserno, H. Müller. Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion, Pattern Recognition Letters, 29(15), pages 1988-1995, 2008.
• T. Arni, J. Tang, M. Sanderson, P. Clough. Creating a test collection to evaluate diversity in image retrieval, SIGIR 2008 Workshop on Beyond Binary Relevance: Preferences, Diversity, and Set-Level Judgments, 2008.
• H. Müller, J Kalpathy-Cramer, W Hersh, A. Geissbuhler. Using Medline queries to generate image retrieval tasks for benchmarking, Studies in Health Technology and Informatics, 136, pages 523-528, 2008.




2007

• T. Deselaers, H. Müller, P Clough, H. Ney, T. M. Lehmann. The CLEF 2005 automatic medical image annotation task, International Journal of Computer Vision, 74(1), pages 51-58, 2007.
• H. Müller, P. Clough, B. Hersh, A. Geissbuhler. Variation of relevance assessments for medical image retrieval, AMR 2006 - Proceedings of the 4th international conference on Adaptive multimedia retrieval, LNCS 4398, pages 232-246, 2007.
• H. Müller, C. Boyer, A. Gaudinat, B. Hersh, A. Geissbuhler. Analyzing web log files of the health on the net HONMedia search engine to define typical image search tasks for image retrieval evaluation, Studies in Health Technology and Informatics, 129, pages 1319-1323, 2007.
• W. Hersh, H. Müller. Image retrieval in medicine: The ImageCLEF medical image retrieval evaluation, Bulletin of the American Society for Information Science and Technology, 33(3), 2007.
• H. Muller, X. Zhou, A. Depeursinge, M. J. Pitkänen, J. Iavindrasana, A. Geissbuhler. Medical visual information retrieval: State of the art and challenges ahead, ICME 2007 - Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, pages 683—686, 2007.
• M. Grubinger, P. Clough. On the creation of query topics for ImageCLEFphoto, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, pages 50-63, 2007.
• V. Viitaniemi, J. Laaksonen. Thoughts on evaluation of image retrieval inspired by ImageCLEF 2007 object retrieval task, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, 2007.
• P. Clough. Image retrieval: Large-scale evaluation of cross-language image retrieval systems, Bulletin of the American Society for Information Science and Technology, 33(3), 2007.
• W. Hersh, H. Müller, J. Kalpathy-Cramer, E. Kim. Consolidating the ImageCLEF Medical Task Test Collection: 2005-2007, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, 2007.
• H. Müller, T. Deselaers, M. Grubinger, P. Clough, A, Hanbury, W. Hersh. Problems with running a successful multimedia retrieval benchmark, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, 2007.
• A. Hanbury, B. Micušık, J. Stöttinger. The MUSCLE Live Image Retrieval Evaluation Event, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, 2007.
• H.J. Escalante, M. Montes, L.E. Sucar, M. Grubinger. Towards a Region-Level Automatic Image Annotation Benchmark. Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, 2007.
• P. Clough. Large-Scale Evaluation of Cross-Language Image Retrieval Systems. ASIST Bullletin, February/May 2007.




2006

• W. Hersh, H. Muller, J.R. Jensen, J. Yang, P.N. Gorman, P. Ruch. Advancing biomedical image retrieval: development and analysis of a test collection, Journal of the American Medical Informatics Association, 13(5), pages 488-496, 2006.
• H. Müller, P. Clough, W. Hersh, T. Deselaers, T. M. Lehmann, B. Janvier, A. Geissbuhler. Using heterogeneous annotation and visual information for the benchmarking of image retrieval systems, Proceedings of SPIE - Internet Imaging VII , 6061, 2006.
• P. Clough, W. Hersh, A. Rorissa, M. Ruiz. ImageCLEF and ImageCLEFmed: Toward standard test collections for image storage and retrieval research, Proceedings of the ASIST Annual Meeting, 43(1), pages 1 – 6, 2006.
• M. Grubinger, P. Clough, H. Müller, P. Clough. The IAPR TC-12 benchmark-a new evaluation resource for visual information systems, Proceedings of International Workshop OntoImage’2006 Language Resources for Content-Based Image Retrieval, pages 13-23, 2006.
• H. Müller, C. Despont-Gros, W. Hersh, J. Jensen, C. Lovis, A. Geissbuhler. Health care professionals' image use and search behaviour, MIE 2006 - Proceedings of the Medical Informatics Europe Conference , pages 24-32, 2006.
• P. Clough, H. Müller. Building and Evaluating Systems for Cross-Language Image Retrieval, DELOS Network of Excellence on Digital Libraries Demo Day, 2006.
• M. Grubinger, P. Clough, C. Leung. The iapr tc-12 benchmark for visual information search, IAPR Newsletter, 28(2), pages 10 – 12, 2006.
• H. Müller, P. Clough. The ImageCLEF benchmark on multimodal multilingual image retrieval. IAPR Newsletter 28(2), 2006.
• P. Clough, M. Sanderson, N. Reid. The Eurovision St Andrews Collection of Photographs, ACM SIGIR Forum, 40(1), pages 21-30, 2006.
• W. Hersh, E. Kim. The Impact of Relevance Judgments and Data Fusion on Results of Image Retrieval Test Collections. Proceedings of the second MUSCLE / ImageCLEF workshop on image and video retrieval evaluation, 2006.




2005

• H. Müller, P. Clough, W. Hersh, T. Deselaers, T. M. Lehmann, A. Geissbuhler. Evaluation axes for the medical image retrieval systems: the Image CLEF experience, MULTIMEDIA 2005 - Proceedings of the 13th annual ACM international conference on Multimedia, pages 1014-1022, 2005.
• W. Hersh, H. Müller, P. Gorman, J. Jensen. Task analysis for evaluating image retrieval systems in the ImageCLEF biomedical image retrieval task, Slice of Life conference on Multimedia in Medical Education, 2005.
• M. Grubinger, C. Leung, P. Clough. The IAPR benchmark for assessing image retrieval performance in cross-language evaluation tasks, Proceedings of the first MUSCLE / ImageCLEF workshop on image and video retrieval evaluation, 2005.
• H. Müller, P. Clough, A. Geissbuhler, W. Hersh. ImageCLEF 2004-2005: results, experiences and new ideas for image retrieval evaluation, Proceedings of the Fourth International Workshop on Content-Based Multimedia Indexing (CBMI2005), 2005.
• W. Hersh, J. Jensen, H. Müller, P. Gorman. A qualitative task analysis of biomedical image use and retrieval, Proceedings of the first MUSCLE / ImageCLEF workshop on image and video retrieval evaluation, 2005.




2004

• H. Müller, A. Rosset, J.P. Vallee, F. Terrier, A. Geissbuhler. A reference data set for the evaluation of medical image retrieval systems, Computerized Medical Imaging and Graphics, 28(6), pages 295-305, 2004.
• P. Clough, M. Sanderson, H. Müller. The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004, Proceedings of the 2004 CIVR conference, LNCS 3115, pages 243-251, 2004.
• M. Sanderson, P. Clough, C. Paterson, W. Tung Lo. Measuring a cross language image retrieval system, ECIR 2004 - Proceedings of the 26th European Conference on IR Research, LNCS 2997, pages 353-363, 2004.
• P. Over, C. Leung, H. Ip, M. Grubinger. Multimedia retrieval benchmarks, IEEE Multimedia, 11(2), pages 80-84, 2004.
• H. Müller, A Geissbuhler, S. Marchand-Maillet, P. Clough. Benchmarking image retrieval applications, Proceedings of the Conference on Visual Information Systems (VISUAL 2004), pages 334-337, 2004.




2003

• P. Clough, M. Sanderson, N. Reid. The eurovision st andrews photographic collection (esta). Image CLEF Report, University of Sheffield, UK,2003

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