Guide Acoustical Imaging: Proceedings of the Sixteenth International Symposium, June 10–12, 1987

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Wu, Q. Gujer, M. Henze and B. Looney and R. Falta, Battelle Press, pp. Belkin and S. Rho, H. Li, B. Uribe, A. Zhang, J. Li, J. Strack, G. Jang, A. Gong, P. Zhu, X. Szabo, J. Wang, J. Gillam, D. Kim, I. And Bishop, P. Rodriguez, S. Jin, P. Piao, H. Lee, J. Hosni, A. Zou, Z. Uribe-Jongbloed, A. Seo, Y. Lee, W. Stellaci, P. Part I. Chemical, , Papautsky, I. II, Springer, , Cho, S. H and Bishop, P. Shane, W. Jung, W. Pressman, J.

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Clinton, C. Nadagouda, B. Derin, H. Li, P. Dismukes and J. Sekhar , Trans Tech Publishers, , Lega, M. Olofsson, J. Flinkstrom, M. Mock, F. Environmental Protection Agency, , White, M. Kirk, D. Darwish, S. Wang, M. Tepper, A. Pfister, Section A, August , Aman, A. Mourad-Agha, M. Rieser, L. Randall, P. Al-Abed, S. Paio, H. Maginnis, A. Purdy, C. Kukreti, A. Rhodes, R. Das, A. Wei, X. Keating, D. Ahn, C. Lee, K. Choi, W. Wahman, D. Bishop, Philadelphia, PA, August , Melchinger, K.

March Holder, E. Bishop, D. Haws, K. Sterling, OH, October 11, Burner, M. Holzer, H. Bischof, G. Haas, R. Donner, A. Holzer, G. Rahman, S. Antani, G. O, Pauly, D. Mateus, N. Mata, M. Crespo, M. Yang, R. Jin, L. Mummert, R. Sukthankar, A.

Goode, B. Zheng, S. Hoi, M. Satyanarayanan A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval. Bhat, M. Berger, G. Simon, F. Transitive Closure based visual words for point matching in video sequence. Biomedical article retrieval using multimodal features and image annotations in region-based CBIR.

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Zagoris, A. Arampatzis, and S. Verbeek, G. Binder, W. Wojcikiewicz, C. Martinez-Gomez, B. Journal of Physical Agents, 4 3 , pages , Caicedo, J. Moreno, E. Le Borgne, N. Fast shared boosting for large-scale concept detection. Multimedia Tools and Application, Springer, Fast shared boosting: application to large-scale visual concept detection. Wu, H. Chien, C. Hu, M. Cybernetics and Systems: An International Journal, 41 1 , pages , Yang, Y. Tian, L. Duan, W. Per-sample multiple kernel approach for visual concept learning. Cao, A. Del Pozo, X. Jin, J. Luo, J. Han, T. RankCompete: simultaneous ranking and clustering of web photos.

Moulin, C. Largeron, M. Impact of visual information on text and content based image retrieval. Large-scale text to image retrieval using a Bayesian K-neighborhood model. Kalpathy-Cramer, W. Multimodal medical image retrieval: image categorization to improve search precision. Simpson, D. Demner-Fushman, G. Evaluating the importance of image-related text for ad-hoc and case-based biomedical article retrieval. Belgacem, M.

Niinimaki, N. Programming distributed medical applications with XWCH2. Zhou, Z. Peng, Y. Zhan, M. Dewan, B. Jian, A. Krishnan, Y. Tao, M. Harder, S. Grosskopf, U. Redundancy, redundancy, redundancy: the three keys to highly robust anatomical parsing in medical images. Llorente, R. Manmatha, S. Image retrieval using Markov Random Fields and global image features. Kaliciak, D. Song, N. Wiratunga, J. Novel local features with hybrid sampling technique for image retrieval.

Wilkins, A. Smeaton, P. Pham, P. Mulhem, L. Spatial relationships in visual graph modeling for image categorization. Avni, J. Goldberger, M. Sharon, E. Konen, H. Chest x-ray characterization: from organ identification to pathology categorization. In Proceedings of the international conference on Multimedia information retrieval MIR , pages , Glotin, Z.

Zhao, J. Gao, X. A matrix modular SVM robust to imbalanced data for efficient visual concept detection. Paris, H. Pyramidal multi-level features for the robot vision icpr challenge. Min, J. Leveling, D. Zhou, G. Document expansion for image retrieval. Data fusion and label weighting for image retrieval based on spatio-conceptual information. Leelanupab, G. Zuccon, J. Sahbi, H. Network-dependent kernels for image ranking. Nguyen, J. Starzyk, A. Tay, W. Spatio-temporal sequence learning of visual place cells for robotic navigation.

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Coelho, J. Hierarchical medical image annotation using SVM-based approaches. Castro, L. Image retrieval based on text and visual content using neural networks. Image re-ranking based on relevance feedback combining internal and external similarities. Navarro, F.

Llopis, R. Using evidences based on natural language to drive the process of fusing multimodal sources. Koskela, V. Indoor location recognition using fusion of SVM-based visual classifiers. Selecting the n-top retrieval result lists for an effective data fusion.

Coevolutionary algorithm for rule induction. Mihai, A. Doringa, L.

OPCI Conference - May 2018

A graphical interface for evaluating three graph-based image segmentation algorithms. Tollari, M. Detyniecki, A. Fakeri-Tabrizi, C. Marsala, M. Amini, P. Recherche d'information, pages , Information retrieval with a simplified conceptual graph-like representation. Trojacanec, G. Madzarov, D. Gjorgjevikj, S. Classification of magnetic resonance images. Kitanovski, K. Trojacanec, S.

ICT Innovations , Web proceedings, pages , Semantics and statistics for automated image annotation. Multimodal image retrieval with relevance feedback based on genetic programming. MSc Thesis. Miguel Puerta, L. Kreft, B. Depeursinge, H. Dimitrovski, D. Kocev, S. Loskovska, S. Atif Tahir, F. Yan, M. Barnard, M. Awais, K. Mikolajczyk, J. Fraundorfer, C. Wu, M. Tao, Z. Peng, B. Jian, J. Xuan, A. Krishnan, X. Robust learning-based annotation of medical radiographs. Unay, O. Soldea, A. Ekin, M. Cetin, A. Automatic annotation of X-ray images: a study on attribute selection.

Antani, R. Long, D. Multi-modal query expansion based on local analysis for medical image retrieval. Gass, P. Dreuw, H. Jointly optimising relevance and diversity in image retrieval.

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Rahman, P. Image retrieval with automatic query expansion based on local analysis in a semantical concept feature space. Chen, J. Zhang, F. Wang, C. Zhang, Y. Gao Efficient multi-label classification with hypergraph regularization. Hoi, R. Zhu, M. Semisupervised SVM batch mode active learning with applications to image retrieval. Llorente and S. A new multiple kernel approach for visual concept learning.

Zhao, S. Query expansion with a medical ontology to improve a multimodal information retrieval system. Computers in Biology and Medicine, 39 4 , pages , Greenspan, M. Konen, J. X-ray image categorization and retrieval using patch-based visual words representation. Deserno, S. Antani, L. Rodney Long. Content-based image retrieval for scientific literature access. Methods of information in medicine, 48 4 , , Darmoni, M. Tommasi, B. Proceedings of British Machine Vision Conference, pages , Eggel, H. Combination of visual and textual similarity retrieval from medical documents.

Studies in Health Technology and Informatics , Chatzichristofis, Y. Content based medical image indexing and retrieval using a fuzzy compact composite descriptor. Smith, H. Evaluating implicit judgements from image search interactions. Eler, M. Nakazaki, F. Paulovich, D. Santos, G. Andery, M. Oliveira, J. Neto, R. Visual analysis of image collections.

The Visual Computer, 25 10 , pages , You, E. Apostolova, S. Demner-Fushman, and G. Figure content analysis for improved biomedical article retrieval. Demner-Fushman, S. Antani, M. Simpson, G. Annotation and retrieval of clinically relevant images. International Journal Medical Informatics, 78 12 , pages , Ah-Pine, M. Bressan, S. Csurka, Y. Hoppenot, J. Renders, Crossing textual and visual content in different application scenarios.

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Multimedia Tools and Applications, 41 1 , Detyniecki, C. Marsala, A. Fakeri-Tabrizi, M. On Multimedia Retrieval Baselines. Land, M. A comparison of spatial pattern spectra. El Demerdash, L. Kosseim, S. Semantic inter-media image retrieval in photographic collections. Milne, N.

ImageCLEF publications

Wiratunga, R. Lothian, D. Reuse of search experience for resource transformation. Aleksovski, D. Evaluation of distance measures for hierarchical multilabel classification in functional genomics. Leelanupab, M. Halvey, J. Application and evaluation of multi-dimensional diversity. Nomura, K Yamauchi, T. Cooper, S. Ebadollahi, E. Shim, K. Park, B. Ko, J. X-Ray image classification and retrieval using ensemble combination of visual descriptors. Navarro, R. Munoz, F. Procesamiento del lenguaje natural, 42, pages , Perea-Ortega, L. Procesamiento del lenguaje natural, 43, pages , Barat, C.

Honnorat, H. Le Borgne. Camargo, F. Visualization of large collections of medical images. Modeling spatial relations for image retrieval by conceptual graphs. An investigation into weighted data fusion for content-based multimedia information retrieval, PhD Thesis, Dublin City University, Ireland, Deselaers, R. Paredes, E. Vidal, H. Learning weighted distances for relevance feedback in image retrieval. Proceedings of the 19th International Conference on Pattern Recognition,, pages , Deselaers, D.

Keysers, H. Features for image retrieval: an experimental comparison. Information Retrieval, 11 2 , pages , Yao, Z. Zhang, S. Long, G. Automatic medical image annotation and retrieval. Neurocomputing, 71 10 , pages , Cheng, B. Chien, H. Ke, W. A two-level relevance feedback mechanism for image retrieval. Expert Systems with Applications, 34 3 , pages , Rahman, B. Desai, P. Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion.

Computerized Medical Imaging and Graphics, 32 2 , pages , Hernandez, E. Lim, J. Chevallet, D. Le, H. Bi-modal conceptual indexing for medical image retrieval. Tian, H. Fu, D. Gass, A. Depeursinge, A. Geissbuhler, H. Learning a frequency—based weighting for medical image classification. Proceedings of the 2nd International Conference on Medical Imaging and Informatics, pages , Uwimana, M.

E Ruiz. Integrating an automatic classification method into the medical image retrieval process. Pitkanen, X. Hyvarinen, H. Using the grid for enhancing the performance of a medical image search engine. Gaussier, J. Ton, J. Chevallet, L. Gao, J. Chevallet, J. Niinimaki, X. Building a community grid for medical image analysis inside a hospital, a case study. Zhou, M. Pitkanen, A. Philippine Journal of Information Technology, Wilhelm, M. Extensible Retrieval and Evaluation Framework: Xtrieval. Proceedings of the LWA workshop, pages , Bressan, G.

Santos, M. Multidimensional visualization to support analysis of image collections. Ioan Buciu and Ioan Nafornita.

Non-negative Matrix Factorization Methods and their Applications. Llorente, S. Can a probabilistic image annotation system be improved using a co-occurrence approach. PhD Thesis, Freiburg, Germany, Master Thesis. National University of Colombia, Recherche d'images par combinaison d'attributs textuels-visuels par algorithme d'ordonnancement. Tommasi, F. Orabona, B. Discriminative cue integration for medical image annotation, Pattern Recognition Letters, 29 15 , pages , Deformations, patches, and discriminative models for automatic annotation of medical radiographs, Pattern Recognition Letters, 29 15 , pages , Hierarchical classification using a frequency-based weighting and simple visual features, Pattern Recognition Letters, 29 15 , pages , Springmann, A.

Dander, H. Improving efficiency and effectiveness of the image distortion model, Pattern Recognition Letters, 29 15 , pages , Thies, B. Fischer, T. A framework and baseline results for the CLEF medical automatic annotation task, Pattern Recognition Letters, 29 15 , pages , Setia, A. Teynor, A. Halawani, H. Grayscale medical image annotation using local relational features, Pattern Recognition Letters, 29 15 , pages , S Sedghi, M Sanderson, P. A study on the relevance criteria for medical images, Pattern Recognition Letters, 29 15 , pages ,