Institute of Informatics (II)
Tópico: MedGIFT
Publications for topic "MedGIFT" sorted by title
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| and , Crowdsourcing opportunities in medical imaging (2012), in: IEEE Communication Society letter, 7:7 |
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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 , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2019), in: Pathology Informatics |
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| , , , and , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv |
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, and , Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography (2016), in: Frontiers in Neurorobotics, 10(9)
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| , , , , , , , , , , and , Deep-PRL: a deep learning network for the identification of paramagnetic rim lesions in multiple sclerosis, in: ISMRM 2025, 2025 |
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| , , , , and , Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects, in: MedInfo 2007, páginas 325-329, 2007 |
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| , , and , Determining the importance of figures in journal articles to find representative images, in: SPIE Medical Imaging, Orlando, FL, USA, 2013, páginas 86740I-86740I-9, 2013 |
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| , , , and , Dexterous Control of Prosthetic Hands, in: ICAR 2013 Proceedings, Montevideo, Uruguay, 2013 |
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| , , , , and , Digital Imagery Teaching Files: A Necessary Extension to PACS for an academic Radiology Department, in: Proceedings of the annual congress of the Swiss society of radiology, 2003 |
| , and , Distributed container-based evaluation platform for private/large datasets, in: ISPDC 2018, Geneva, Switzerland, 2018 |
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| , , , , and , Div150Cred: A Social Image Retrieval Result Diversification with User Tagging Credibility Dataset, in: Multimedia Systems 2015, Portland, OR, USA, 2015 |
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| , , , , and , Div150Multi: A Social Image Retrieval Result Diversification Dataset with Multi-topic Queries, in: Multimedia Systems, Klagenfurt, Austria, 2016 |
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| , , , , and , Div400: A Social Image Retrieval Result Diversification Dataset, in: ACM Multimedia Systems, Singapore, 2014 |
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| and , Données médicales en ligne, 2010 |
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, , , and , Editorial, in: MIMI 2007 Proceedings, Springer, 2008
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| , , , , , , and , Editorial, in: CLEF 2007 Proceedings, Springer, 2008 |
| , , , and , Editorial, in: Proceedings of the 2009 Workshops at the Grid and Pervasive Computig Conference, GPC 2009, IEEE press, 2009 |
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| , and , Editorial of a special issue on Grid and Pervasive Computing 2009 (2011), in: Future Generation Computer Systems, 27:5(587-589) |
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, , , , and , Editorial of MICCAI Workshop Proceedings on Medical Content-based Retrieval for Clinical Decision Support (2010), in: Springer Lecture Notes in Computer Sciences (LNCS):5853
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, and , Editorial of the special issue on image and video retrieval evaluation (2010), in: Computer Vision and Image Understanding, 114:4(409-410)
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, and , Editorial on the special issue on medical image annotation in ImageCLEF 2007 (2008), in: Pattern Recognition Letters, 29:15(1987)
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| and , Editorial. (2008), in: Swiss Medical Informatics, 64 |
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| , , , and , Effect of Multichannel Inverse Scaling Denoising in Detection of Injured White Matter in Fractional Anisotropy Maps, The 10th International Conference on Alzheimer's & Parkinson's Diseases (AD/PD), Barcelona, Spain, 2011 |
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| , , , , and , Effects of Prosthesis Use on the Capability to Control Myoelectric Robotic Prosthetic Hands, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano (Italy), 2015 |
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| , , and , Efficient and fully automatic segmentation of the lungs in CT volumes, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, New York, USA, páginas 31-35, CEUR-WS, 2015 |
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| , , , , , , , and , Electromyography data for non-invasive naturally controlled robotic hand prostheses (2014), in: Scientific Data, 1:140053 |
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| , , and , Electromyography for Hand Prosthetics Demo, in: XXVIII Conférence francophone sur l'Interaction Homme-Machine, Fribourg, Suisse, 2016 |
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| and , Electromyography Low Pass Filtering Effects on the Classification of Hand Movements in Amputated Subjects, in: SCIEI International Conference on Digital Signal Processing (ICDSP), Milano, Italy, 2014 |
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| and , Electromyography Low Pass Filtering Effects on the Classification of Hand Movements in Amputated Subjects (2014), 3:2(118-122) |
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| , , and , Elettromiografia, protesica e robotica in rapido progresso verso l'amputazione funzionale: i risultati del progetto Ninapro (2016), in: Rivista di Chirurgia della mano, 53:3 |
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| , , , , , , and , Elsevier book on Texture Analysis, capítulo Analysis of Histopathology Images: From Traditional Machine Learning to Deep Learning, 2017 |
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| , , and , 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, páginas 6710-6713, 2014 |
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| , and , Enriching content-based image retrieval with multi-lingual search terms (2005), in: Swiss Medical Informatics, 54(6-11) |
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| , and , Enriching content-based medical image retrieval with automatically extracted MeSH terms, in: Jahrestagung der deutschen Gesellschaft für medizinische Informatik (GMDS 2004), páginas 266-269, 2004 |
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| and , Enterprise Search in Medical Data, in: Workshop on Search Computing, Brussels, Belgium, 2012, 2012 |
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| , , , and , Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, páginas 353-360, Springer Berlin Heidelberg, 2013 |
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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 , 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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| , and , Evaluating user interactions with clinical information systems: A model based on human-computer interaction models (2005), in: Journal of Biomedical Informatics, 38:3(244-255) |
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| , , , , and , Evaluation axes for medical image retrieval systems: the ImageCLEF experience, in: MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia, Hilton, Singapore, páginas 1014-1022, ACM Press, 2005 |
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| and , Evaluation campaigns in medical imaging, in: Biomedical Image Processing - Methods and Applications, páginas 497-520, Springer, 2011 |
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, , , , , and , Evaluation of the Prognostic Value of FDG PET/CT Parameters for Patients with Surgically Treated Head and Neck Cancer: A Systematic Review (2020), in: JAMA Otolaryngology - Head and Neck Surgery, 146:5(471-479)
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| , , , , , , , , , , , , and , Evaluation-as-a-Service: Overview and Outlook (2015), in: ArXiv |
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| , , , , , and , Experiences in the Creation of an Electromyography Database to Help Hand Amputated Persons, in: Proceedings of the 24th European Medical Informatics Conference - MIE2012, Pisa, Italy, 2012 |
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| , and , 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 |
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| , , , and , Exploiting the PubMed Central repository to mine out a large multimodal dataset of rare cancer studies, in: SPIE Medical Imaging, Houston, TX, USA, 2020 |
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| , , , , , , and , Exploiting XAI maps to improve MS lesion segmentation and detection in MRI, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI, 2025 |
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, , , and , Exploring local rotation invariance in 3D CNNs with steerable filters, in: Medical Imaging with Deep Learning, páginas 15-26, Proceedings of Machine Learning Research, 2019
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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 |