Institute of Informatics (II)
Topic: MedGIFT
Publications for topic "MedGIFT" sorted by first author
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| , , and , Query Analysis to Improve medical Image Retrieval, in: Society for Imaging Informatics in Medicine (SIIM) 2008, 2008 |
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| and , Evaluation campaigns in medical imaging, in: Biomedical Image Processing - Methods and Applications, pages 497-520, Springer, 2011 |
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| , , , , and , Overview of the CLEF 2011 medical image classification and retrieval tasks, in: CLEF 2011 working notes, Amsterdam, The Netherlands, 2011 |
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, , and , Special Issue (2015), in: Computerized Medical Imaging and Graphics, 39
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| , , , , , , and , Khresmoi Professional: Multilingual, Multimodal Professional Medical Search, in: European Conference on Information Retrieval, Amsterdam, Netherlands, 2014, 2014 |
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| , and , Safe Storage and Multi-modal Search for Medical Images, in: MIE 2011, Oslo, Norway, 2011 |
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| and , Semantics in Radiology, in: ECIR EPOS poster, Vienna, Austria, 2015 |
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| and , Semantics in radiology, in: ECR, Vienna, Austria, 2013 |
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, , , , , , and , 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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| , , , , , , and , AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery, in: Learning with Longitudinal Medical Images and Data at MICCAI 2025, pages 102-112, Springer Nature Switzerland, 2026 |
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| , , , and , A semantic framework for the retrieval of similar radiological images based on medical annotations, in: IEEE International Conference on Image Processing, Paris, France, pages 2241-2245, IEEE, 2014 |
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, , , and , On combining visual and ontological similarities for medical image retrieval applications (2014), in: Medical Image Analysis, 18:7(1082–1100)
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| , , , , , and , Fast Content-based Visual Retrieval of Radiology Cases in Hospital Systems, in: RSNA, Chicago, IL, USA, 2012 |
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| , , , , and , Fast search for radiology cases in hospital systems via content-based image retrieval, in: European Congress of Radiology, Vienna, Austria, 2013 |
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| , , and , VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions, in: MCBR-CDS MICCAI workshop, Nice, France, 2013 |
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| , , and , VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions, in: MCBR-CDS MICCAI workshop, Nice, France, 2012 |
| and , Benchmarking multimedia retrieval, 2011 |
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| , , , , and , Augmented Medical Information Management Using Content-Based Image Retrieval, in: Medical Imaging and Telemedicine, pages 63-67, 2005 |
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| , , , , and , Augmented medical image management, in: Advanced information and telemedicine technologies for health (AITTH 2005), Minsk, Belarus, 2005 |
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| , , and , DebugIT for Patient Safety - Fight against Emergent Microbial Diseases Using Multimedia Data Mining of Heterogeneous Clinical Data, in: Swiss Conference on Medical Informatics, 2008 |
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| , , and , DebugIT for Patient Safety - Fight Against Emergent Microbial Diseases Using Multimedia Data Mining of Heterogeneous Clinical Data (2008), in: Swiss Medical Informatics, 64(32-35) |
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| and , Semantic based auto-completion of business process modeling in Government, in: INFORMATIK 2014 proceedings, BPM im Öffentlichen Sektor workshop at INFORMATIK 2014, 22-26.09.2014, University of Stuttgart, Stuttgart, Germany, pages 1107-1118, GI-Edition, 2014 |
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| , , and , Predicting Treatment Response in Triple Negative Breast Cancer Through Quantitative Image Analysis in Perfusion MRI, in: 6th Annual Symposium of the Center for Biomedical Imaging at Stanford, Stanford, CA, USA, 2014 |
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| , , and , The Reality of Content-based Image Retrieval, in: Proceeding of the meeting Suchbilder, pages 86-98, 2003 |
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| , , , and , Preparing user tests for assessing a medical image retrieval system: A pilot study, in: MedInfo, Copenhagen, Denmark, 2013 |
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| , , , and , Accessing the medical literature with content-based visual retrieval and text retrieval techniques., in: Proceedings of the Radiological Society of North America (RSNA), Chicago, Illinois, US, 2011 |
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| , , , , , , and , A Visual Information Retrieval System for Radiology Reports and the Medical Literature, in: Multimedia modeling conference, Dublin, Ireland, 2014 |
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| , , , , , and , KHRESMOI for radiologists - Visual search in radiology archives and the open-access medical literature (2013), in: Health Management, 13:3(23--24) |
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| , , and , Multi-scale visual words for hierarchical medical image categorization, in: SPIE Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, San Diego, CA, USA, pages 83190F-83190F-11, 2012 |
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| , , and , The MedGIFT group at ImageCLEFmed 2011, in: CLEF working notes, Amsterdam, The Netherlands, 2011 |
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, , , , , and , User-oriented evaluation of a medical image retrieval system for radiologists (2015), in: International Journal of Medical Informatics(774-783)
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| , , , , , and , A survey on visual information search behavior and requirements of radiologists, in: Methods of information in Medicine, pages 539-548, 2012 |
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| , , , , and , A System for Visual Information Retrieval in Images, Radiology Reports and the Medical Literature, in: RSNA demonstration, Chicago, IL, USA, 2013 |
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| , , , and , Using MapReduce for Large-scale Medical Image Analysis (2015), in: arXiv:1510.06937 |
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| , , , and , Using MapReduce for Large–scale Medical Image Analysis, in: 2nd IEEE Conference on Healthcare Informatics, Imaging and Systems Biology (HISB), La Jolla, California, 2012 |
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, and , Evaluating Multimodal Relevance Feedback Techniques for Medical Image Retrieval (2016), in: Journal of Information Retrieval
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| , and , Multi-modal relevance feedback for medical image retrieval, in: SIGIR workshop on Medical Information Retrieval, Gold Coast, Australia, 2014 |
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| , , , , , , , , , and , Fully Automatic Left Ventricle Segmentation in Dynamic 82Rb PET/CT Using Deep Learning, Annual Swiss Congress of Radiology (SCR), 2026 |
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| , , , , , , , , , , , and , Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multi-centric anthropomorphic phantom study (2026), in: Medical Physics, 53:3(e70374) |
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, , and , Medical image modality classification using discrete Bayesian Networks (2016), in: Computer Vision and Image Understanding
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| , , and , Fast Rotational Sparse Coding (2018)(arXiv:1806.04374) |
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, , , , and , Proceedings of the International Workshop on Medical Computer Vision (MCV), Springer, LNCS, 2014
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, , , , , , and , Medical Computer Vision: Algorithms for Big Data (MCV2014), Springer, LNCS 8848, 2014
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, , , , , , and , MCV 2015 Workshop, Springer, 2016
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| and , Open Source Software in the Biomedical Domain: Electronic Health Records and other useful applications (2005), in: Swiss Medical Informatics, 55(3-15) |
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| , , , , and , Is tumor heterogeneity quantified by 3D texture analysis of MRI able to predict non-response to NAC in breast cancer?, in: European Society for Magnetic Resonance in Medicine and Biology, 2016 |
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| , , , , and , Predicting non-response to NAC in patients with breast cancer using 3D texture analysis, in: European Congress of Radiology, Vienna, Austria, 2015 |
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and , Summarizing Citation Contexts of Scientific Publications, in: CLEF 2015 proceedings, Toulouse, France, 2015
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| , , , , and , Making sense of radiomics: Insights on human-AI collaboration in medical interaction from an observational user study (2024), in: Frontiers in Communication, 8 |
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, Medical (visual) information retrieval, in: Information retrieval meets information visualization, winter school book, pages 155-166, 2013
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| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-607 |