MedGIFT


Topic: Khresmoi
Publications for topic "Khresmoi" sorted by title
2
2D-Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions, in: Medical Computer Vision. Large Data in Medical Imaging, MICCAI, Nagoya, Japan, pages 185-195, Springer International Publishing, 2014
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3D Case–Based Retrieval for Interstitial Lung Diseases, in: MCBR-CDS 2009: Medical Content-based Retrieval for Clinical Decision Support, London, UK, pages 39--48, Springer, 2010 | , , , , and ,
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3D Lung Image Retrieval Using Localized Features, in: Medical Imaging 2011: Computer-Aided Diagnosis, Orlando, FL, USA, pages 79632E, SPIE, 2011 | , , and ,
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A decade of community-wide efforts in advancing medical images understanding and retrieval (2015), in: Computerized Medical Imaging and Graphics, 39(1-2)
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A Modern Web Interface for Medical Image Retrieval, in: Swiss e-health summit, Bern, Switzerland, 2014 | and ,
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A System for Visual Information Retrieval in Images, Radiology Reports and the Medical Literature, in: RSNA demonstration, Chicago, IL, USA, 2013 | , , , , and ,
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A Visual Information Retrieval System for Radiology Reports and the Medical Literature, in: Multimedia modeling conference, Dublin, Ireland, 2014 | , , , , , , and ,
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A Web Service for enabling Medical Image Retrieval Integrated into a Social Medical Image Sharing Platform, in: Medinfo 2010, Cap Town, South Africa, pages 1273-1276, IOS press, 2010 | , , , and ,
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Architecture and applications of the Parallel Distributed Image Search Engine (ParaDISE), in: 1st International Workshop on Future Search Engines at INFORMATIK 2014, Stuttgart, Germany, 2014 | , and ,
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Aspects of Medical Information Search, in: Medical Informatics Europe Communication, Oslo, Norway, 2011 | , and ,
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B
Bag-of-Colors for Biomedical Document Image Classification, in: MICCAI workshop MCBR-CDS, Nice, France, pages 110-121, 2013 | , and ,
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Benchmarking Result Diversification in Social Image Retrieval, in: IEEE International Conference on Image Processing, Paris, France, 2014 | , , , and ,
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Benefits of texture analysis of dual energy CT for computer-aided pulmonary embolism detection, in: The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Osaka, Japan, pages 3973-3976, 2013 | , , , , and ,
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Bringing the algorithms to the data: cloud–based benchmarking for medical image analysis, in: CLEF conference, 2012 | , , , , and ,
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Building a Reference Multimedia Database for Interstitial Lung Diseases (2012), in: Computerized Medical Imaging and Graphics, 36:3(227-238)
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Case-based fracture retrieval (2012), in: International Journal on Computer assisted Radiology and Surgery, 7:3(401-411) | , and ,
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Case-based lung image categorization and retrieval for interstitial lung diseases: clinical workflows (2012), in: International Journal of Computer Assisted Radiology and Surgery, 7:1(97-110)
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Case-based Visual Retrieval of Fractures, in: Computer Assisted Radiology and Surgery (CARS) 2010, Geneva, Switzerland, 2010 | , , , and ,
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Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization (2010), in: Journal of Digital Imaging, 23:1(18-30)
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Comparing Fusion Techniques for the ImageCLEF 2013 Medical Case Retrieval Task (2015), in: Computerized Medical Imaging and Graphics, 39(46–54)
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Comprehensive Health Monitoring and Personalized Feedback Using Multimedia Data, chapter Meaningful bags of words for medical image classification and retrieval, Springer, 2015 | , and ,
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Content-based medical image retrieval, in: Biomedical Image Processing - Methods and Applications, pages 471-496, Springer, 2011 | and ,
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Creating a classification of image types in the medical literature for visual categorization, in: SPIE medical imaging, San Diego, USA, 2012 | , , and ,
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Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations, in: MICCAI medical computer vision workshop at MICCAI 2015, Munich, Germany, 2016
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Creation of a New Evaluation Benchmark for Medical Information Retrieval Targeting Patient Information Needs, in: International Workshop on Evaluating Information Access (EVIA 2013), Tokyo, Japan, 2013 | , , , , , and ,
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Determining the importance of figures in journal articles to find representative images, in: SPIE Medical Imaging, Orlando, FL, USA, 2013, pages 86740I-86740I-9, 2013 | , , and ,
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E
Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, pages 6710-6713, 2014 | , , and ,
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Enterprise Search in Medical Data, in: Workshop on Search Computing, Brussels, Belgium, 2012, 2012 | and ,
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Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, pages 353-360, Springer Berlin Heidelberg, 2013 | , , , and ,
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Evaluating Multimodal Relevance Feedback Techniques for Medical Image Retrieval (2016), in: Journal of Information Retrieval
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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
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Evaluation campaigns in medical imaging, in: Biomedical Image Processing - Methods and Applications, pages 497-520, Springer, 2011 | and ,
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Exploiting Health Related Features to Infer User Expertise in the Medical Domain, in: Web Search and Data Mining workshop, New York City, NY, USA, 2014 | , and ,
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F
Facilitating Medical Information Search using Google Glass connected to a Content-based Medical Image Retrieval System, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, 2014 | , , and ,
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Fast Content-based Visual Retrieval of Radiology Cases in Hospital Systems, in: RSNA, Chicago, IL, USA, 2012 | , , , , , and ,
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Fast search for radiology cases in hospital systems via content-based image retrieval, in: European Congress of Radiology, Vienna, Austria, 2013 | , , , , and ,
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Fusion Techniques in Biomedical Information Retrieval, Springer, 2014 | and ,
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Gesture interaction for content--based medical image retrieval, in: ACM ICMR, Glasgow, UK, 2014 | , , and ,
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Ground truth generation in medical imaging: A crowdsourcing based iterative approach, in: Workshop on Crowdsourcing for Multimedia, ACM Multimedia, Nara, Japan, 2012 | and ,
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Harnessing the Scientific Data Produced by the Experimental Evaluation of Search Engines and Information Access Systems, Elsevier Grand Challenge, 2011 | , , and ,
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How Users Search and What They Search for in the Medical Domain – Understanding Laypeople and Experts Through Query Logs (2016), in: Journal of Information Retrieval
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Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, Springer, Lecture Notes in Computer Science, volume 8138, 2013 | , , , and ,
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Information Retrieval meets information visualization, Springer, Lecture Notes in Computer Science 7757, 2013 | , , , and ,
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Information Retrieval meets information visualization, Springer, LNCS 7757, 2013 | , , , and ,
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IRMA Code II: A New Concept for Classification of Medical Images, in: Medical Informatics Europe, Pisa, Italy, 2012 | , , and ,
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IRMA-Code II: A new concept for classification of medical images, in: Bildverarbeitung in der Medizin (BVM2012), Berlin, Germany, pages 440-445, Springer, 2012 | , , and ,
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K
Khresmoi – multilingual semantic search of medical text and images, in: MedInfo 2013, Copenhagen, Denmark, 2013 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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Khresmoi – multimodal multilingual medical information search, in: MIE village of the future, Pisa, Italy, 2012 | and ,
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KHRESMOI for radiologists - Visual search in radiology archives and the open-access medical literature (2013), in: Health Management, 13:3(23--24) | , , , , , and ,
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Khresmoi Professional: Multilingual Semantic Search for Medical Professionals, in: SIGIR workshop on Health Data Discovery, Dublin, Ireland, 2013 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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