Institute of Informatics (II)
Onderwerp: MedGIFT
Alle publicaties voor onderwerp "MedGIFT" gesorteerd op eerste auteur
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| , , en , 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, pagina's 6710-6713, 2014 |
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, , , , en , The Importance of Feature Aggregation in Radiomics: A Head and Neck Cancer Study (2020), in: Nature Scientific Reports, 10:19679
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, , , , , , , , , en , Cleaning Radiotherapy Contours for Radiomics Studies, is it Worth it? A Head and Neck Cancer Study (2022), in: Clinical and Translational Radiation Oncology, 33(153-158)
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| , , , , , en , Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT, in: Multimodal Learning for Clinical Decision Support, pagina's 59-68, Springer LNCS, 2021 |
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| , , , , , , en , PROMISE Technology Transfer Day (2013), in: SIGIR Forum |
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| , , , en , Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, Springer, Lecture Notes in Computer Science, deel 8138, 2013 |
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| , en , A web interface for 3D information retrieval with images from the lung, in: Medinfo 2010, Cape Town, South Africa, 2010 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , The Future Internet, Springer, Lecture Notes on Computer Science, 2013 |
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| , , , , , , , , , , en , Holistic Classification of CT Attenuation Patterns for Interstitial Lung Diseases via Deep Convolutional Neural Networks, in: 1st Workshop on Deep Learning in Medical Image Analysis, Münich, Germany, pagina's 41-48, 2015 |
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| , , , , en , Proceedings of the International Conference of Medical Imaging and Medical Informatics, Middlesex University Press, 2007 |
| , en , Integration of Medical images into the Digital Hospital (2011), in: The open medical informatics journal (TOMIJ)(1-2) |
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, , , en , Editorial, in: MIMI 2007 Proceedings, Springer, 2008
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| , , , en , Proceedings of the first international conference on Medical imaging and telemedicine (MIT 2005), Middlesex University Press, 2005 |
| , Use Case Oriented Medical Visual Information Retrieval & System Evaluation, University of Geneva, 2015 |
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| , , , en , Crowdsourcing for Medical Image Classification, 2014 |
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| , en , Medical case-based retrieval: integrating query MeSH terms for query-adaptive multi-modal fusion, in: SPIE Medical Imaging, 2015 |
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, , en , 2D-Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions, in: Medical Computer Vision. Large Data in Medical Imaging, MICCAI, Nagoya, Japan, pagina's 185-195, Springer International Publishing, 2014
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| , , , en , 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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| , , , en , Overview of the ImageCLEF 2013 medical tasks, in: CLEF working notes 2013, Valencia, Spain, 2013 |
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| , , en , The medGIFT Group in ImageCLEFmed 2012, in: CLEF working notes, 2012 |
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| , , , , en , Semi–Supervised Learning for Image Modality Classification, in: ECIR workshop MRMD, Vienna, Austria, 2015 |
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| , en , Bag-of-Colors for Biomedical Document Image Classification, in: MICCAI workshop MCBR-CDS, Nice, France, pagina's 110-121, 2013 |
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| , , , en , The medGIFT Group in ImageCLEFmed 2013, in: CLEF working Notes 2013, Valencia, Spain, 2013 |
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| en , Fusion Techniques in Biomedical Information Retrieval, Springer, 2014 |
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| , en , Overview of the ImageCLEF 2015 medical classification task, in: Working Notes of CLEF 2015 – Cross Language Evaluation Forum, CEUR, 2015 |
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| , , en , Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation, in: MICCAI workshop Labels, Springer, 2016 |
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| , , en , Overview of the ImageCLEF 2016 Medical Task, in: CLEF working notes 2016, CEUR, 2016 |
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, , en , 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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, en , Learning a frequency-based weighting for medical image classification (2008), in: Lecture Notes in Computer Science (LNCS), 4987(99-108)
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| , en , Learning a frequency-based weighting for medical image classification, in: Medical Imaging and Medical Informatics (MIMI) 2007, pagina's 137-147, 2007 |
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| , , , en , Integrating radiomics into holomics for personalised oncology: from algorithms to bedside (2020), in: European Radiology Experimental, 4(11) |
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, , , en , Measuring Movement Classification Performance with the Movement Error Rate (2014), in: IEEE Transactions on neural systems and rehabiliation engineering
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| , , en , A comparison between ARC and gLite for medical image processing on Grids, in: MICCAI workshop on HealthGrids, pagina's 64--73, 2009 |
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| , , en , A comparison of ARC and gLite on medical imaging use cases, in: EGEE'09, 2009 |
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| , en , Translation by Text Categorization: Medical Image Retrieval in ImageCLEFmed 2006, in: CLEF 2006 Proceedings, pagina's 706-710, 2007 |
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, en , Query and Document Translation by Automatic Text Categorization: A Simple Approach to Establish a Strong Textual Baseline for ImageCLEFmed 2006, in: Working Notes of the 2006 CLEF Workshop, 2006
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| , , , , , en , Medicoordination: Regional implementation of the Swiss ehealth strategy, in: Proceedings of the IADIS Multi conference on Computer Science and Information Systems, 2009 |
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| , , , , , , en , Supporting Collaborative Improvement of Resources in the Khresmoi Health Information System, in: LREC, Istanbul, Turkey, 2012 |
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, , , en , Medical Information Retrieval: Introduction to the Special Issue (2016), in: Journal of information retrieval
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| , , , en , MedIR14: Medical Information Retrieval Workshop, in: SIGIR Proceedings, Gold Coast, Australia, 2014 |
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| , , , en , Report on the SIGIR workshop on medical information retrieval (MedIR) (2014), in: SIGIR Forum |
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| , , , , , en , 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 |
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| , , , , , , , en , ShARe\/CLEF eHealth Evaluation Lab 2013, Task 3: Information Retrieval to Address Patients' Questions when Reading Clinical Reports, in: CLEF 2013 working notes, Valencia, Spain, 2013 |
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| , , , , , , , en , ShARe/CLEF eHealth Evaluation Lab 2014, Task 3: User-centred health information retrieval, in: CLEF Proceedings, 2014 |
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| , , , , , , , , , , , , , , , , , en , Overview of the VISCERAL Challenge at ISBI 2015, in: VISCERAL Anatomy 3 proceedings, pagina's 6-11, 2015 |
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| , , en , Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge, 2015 |
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| , , , , , , , , , , , , , , en , A Global Taxonomy of Interpretable AI: Unifying the Terminology for the Technical and Social Sciences (2022), in: Artificial Intelligence Review, 56(3473–3504) |
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| , , , en , On the Scale Invariance in State of the Art CNNs Trained on ImageNet (2021), in: Special Issue "Interpretable and Annotation-Efficient Learning for Medical Image Computing" in Machine Learning and Knowledge Extraction:3(374–391) |
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| , , , en , Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020, 2020 |
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en , Proceedings MCBR-CDS 2012, 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 | 601-603 |