Trefwoorden:
- 2D-based 3D retrieval
- 3D information retrieval
- 3D reconstruction
- 3D texture
- acceptance
- air pollution
- Aneurist
- annotation
- anonymization
- ARC
- Atlas
- Atlas-based segmentation
- Augmented reality
- Bag of visual words
- Bag-of-Colors
- Bayesian methods
- benchmark
- Benchmarking
- big data
- biological organs
- Biological tissue
- biomedical MRI
- CAD
- case-based retrieval
- CFD
- Classification
- clinical data
- clinical data access
- clinical data analysis
- clinical information system
- clinical workflows
- communication protocol
- complex systems
- component-level evaluation
- compound figure separation
- computer tomography
- computer vision
- computer-aided diagnosis
- computerised tomography
- computing infrastructures
- concept vectors
- Content-based image retrieval
- content–based search
- corpus
- crowdsourcing
- CT images
- Cultural heritage
- curriculum learning
- data mining
- datamining imaging indexing ontology radiology
- Deep convolutional neural network
- Deep Learning
- Desktop Grid
- detection
- Diagnostic aid
- DICOM
- Digital hospital
- Discrete wavelet transform
- distributed computing
- Dossier Patient
- efficient access
- eHealth
- Epilepsy
- ethics
- evaluation
- evaluation framework
- experimental evaluation
- eye fundus images
- feature extraction
- feature reuse
- finetuning
- Flickr.
- fracture retrieval
- future internet
- gesture interaction
- GIFT
- glaucoma diagnosis
- gold standard
- google glass
- Grid
- grid computing
- Grid networks
- GridFactory
- ground truth
- Hadoop
- HCI
- health infrastructures
- HealthGrid
- High-resolution lung CT
- Histopathology
- Hospital
- image acquisition
- image analysis
- image browsing
- image categorization
- image classif
- image classification
- Image databases
- Image management
- image processing
- Image registration
- image retrieval
- image retrieval evaluation
- image segmentation
- image storage
- ImageCLEF
- ImageCLEF benchmark
- Informatics
- Information extraction
- information fusion
- information retrieval
- information retrieval evaluation
- information retrieval literature
- information retrieval systems
- Information Systems
- Informatique médicale
- Infrastructures for computation
- Integrating the Healthcare Enterprize
- interfaces
- Interopérabilité.
- Interoperability
- interpretability
- interstitial lung diseases
- inverted file
- key dimension
- language modelling
- large language model
- Lesion detection
- Lesion segmentation
- literature
- log file analysis
- lung
- Lung image
- Lung image analysis
- Lung image retrieval
- lung segmentation
- lung tissue classification
- machine learning
- management
- MapReduce
- MediaEval benchmark
- Medical
- Medical computer vision
- medical image analysis
- Medical image analysis and retrieval
- medical image processing
- Medical image retrieval
- medical image search
- medical imaging
- Medical informatics
- Medical information retrieval
- medical information search
- medical search system
- MeSH
- mobile devices
- mobile information retrieval
- morphometric features
- MRI
- MRML
- multi-atlas based segmentation
- multidimensional image data analysis
- multilingual
- multimedia content analysis
- multimedia library
- multimodal
- Multimodal information retrieval and information fusion
- multimodal retrieval
- Multiple sclerosis
- Natural Language Processing
- Naturalistic studies
- negative relevance feedback
- nosocomial infection
- Open access
- organ segmentation
- Pattern Recognition
- performance evaluation
- pervasive computing
- pollutants dispersion
- precision
- Privacy
- Prototype evaluation
- query drift
- query modification
- query-adaptive fusion
- recall
- Records
- reference database
- region detector
- relevance feedback
- response time
- result diversification
- retrieval
- Riesz
- Riesz transform
- risk of bias
- safe storage
- satisfaction
- scalability
- scientific data
- search
- search context
- Search Interfaces
- search pruning
- Security
- segmentation
- semantic search
- semi-supervised learning
- SIFT
- signal processing
- singular value decompasition
- social photo retrieval
- social web
- Sociology
- speed evaluation
- study design
- support vector machines
- Systematic Review
- systematic reviews
- Systèmes d’Information
- Systems
- target testing
- Taverna
- Telemedicine
- teleradiology
- terminology
- test collection
- test collection creation including signals and images
- text retrieval
- texture analysis
- texture classification
- topic creation
- user interface
- user interfaces
- user modeling
- user modelling
- user testing
- User testing and task analysis
- user-oriented information retrieval
- video retrieval evaluation
- Video-based fieldwork
- Virtual reality
- virtualization
- VISCERAL
- VISCERAL benchmark
- visceral-project
- visual analytics
- visual feature extraction
- visual inforamtion retrieval
- visual information retrieval
- visualization
- wavelet
- wavelets
- Web Applications
- web based interface
- Web services
- Yearbook
Publicaties van Henning Müller gesorteerd op eerste auteur
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-752 |
H
| , , en , The ImageCLEFmed Medical Image Retrieval Task Test Collection, in: Society for Imaging Informatics in Medicine (SIIM) 2008, 2008 |
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| , , en , Consolidating the ImageCLEF Medical Task Test Collection: 2005-2007, in: MUSCLE/ImageCLEF workshop, pagina's 31-39, 2007 |
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, , , en , The consolidated Medical Image Retrieval Task Test Collection (2009), in: Journal of Digital Imaging, 22(6)(648-655)
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| , en , Lung CT segmentation for image retrieval, in: Medical Imaging and Telemedicine (MIT 2005), pagina's 57-62, 2005 |
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| , , , , en , The medGIFT project: perspective of a medical doctor (2007), in: Japanese Journal of Medical Imaging Technology, 25:5(356-361) |
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| , , , en , Putting the image into perspective: The need for domain knowledge when performing image-based diagnostic aid, in: Swiss conference on medical informatics (SSIM 2006), 2006 |
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| , , , en , User centered evaluation of the KHRESMOI image search system for radiologists, in: ECR, Vienna, Austria, 2015 |
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| , , , , , , , , , , , , en , Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook (2018), in: Journal of Data and Information Quality |
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| , , , , , , , , , , en , Report on the Evaluation-as-a-Service (EaaS) Expert Workshop, in: SIGIR Forum, pagina's 57-65, 2015 |
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I
| , , , , en , Minimal Set of Attributes Required to Report Hospital-Acquired Infection Cases, in: IDAMAP 2008 - Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, Washington DC, pagina's 23-28, 2008 |
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| , , , en , Nosocomial Infection Case Reporting using Fisher's Linear Discriminant Algorithm, in: HEALTHINF 2009, pagina's 317-322, 2009 |
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, , , , en , Clinical Data Mining: a Review (2009), in: Yearbook of Medical Informatics(121-133)
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| , , , , , en , Measuring the effectiveness of hospital-acquired infection prevention, in: Medinfo 2010, Cape Town, South Africa, pagina's 764-768, IOS Press, 2010 |
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| , , , en , Asymmetric margin support vector machines for lung tissue classification, in: IEEE International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, pagina's 1--8, 2010 |
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| , , , , en , How clinical information systems can support life science research (2008), in: Swiss Medical Informatics, 64(21-24) |
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| , , , , en , Clinical information system for advanced cerebral aneurysm management, in: Swiss Conference on Medical Informatics, 2008 |
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| , , , , en , Design of a Decentralized Reusable Research Database Architecture to Support Data Acquisition in Large Research Projects, in: MedInfo 2007, pagina's 325-329, 2007 |
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| , , , en , Access to Clinical Information Systems for Research in Life Science – Security and Privacy Considerations, in: Halthgrid, Chicao, IL, USA, IOS press, 2008 |
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| , , , , en , The AneurIST project, in: HealthGrid 2008, pagina's 161-164, 2008 |
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| , , , , en , Div150Multi: A Social Image Retrieval Result Diversification Dataset with Multi-topic Queries, in: Multimedia Systems, Klagenfurt, Austria, 2016 |
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| , , , , en , Retrieving Diverse Social Images at MediaEval 2015: Challenge, Dataset and Evaluation., in: MediaEval Proceedings, CEUR, 2015 |
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| , , , , en , Retrieving Diverse Social Images at MediaEval 2016: Challenge, Dataset and Evaluation, Mediaeval working notes, in: CEUR, 2016 |
| , , , en , Diversity and Credibility for Social Images and Image Retrieval (2017), in: ACM SIGMM records:3 |
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| , , , en , Diversity and Credibility for Social Images and Image Retrieval (1997), in: ACM Multimedia Records |
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| , , en , Retrieving Diverse Social Images at MediaEval 2013: Objectives, Dataset and Evaluation, in: MediEval proceedings, Barcelona, Spain, 2013 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024, ECIR 2024, 2024 |
[DOI] |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications, 2024 |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Overview of the 2024 ImageCLEFmedical GANs Task – Investigating Generative Models’ Impact on Biomedical Synthetic Images, SpringerLink, 2024 |
| , , , , , , , , , en , ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications, in: European Conference on Information Retrieval, Springer, pagina's 557--567, 2023 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet, in: CLEF 2023 proceedings, Springer, Thessaloniki, Grece, 2023 |
| , , , en , Reports on CBMI 16 and ICME 16 (2016), in: IEEE Multimedia |
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| , , , , , , , , , , , , , , , , , , , , , en , Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications, in Experimental IR Meets Multilinguality, Multimodality, and Interaction, in: CLEF 2022 Proceedings, Springer, 2022 |
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, , , , , , , , , , , , , , , en , Overview of ImageCLEF 2017: Information extraction from images, in: CLEF Proceedings, 2017
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| , , , , , , , , , , , , , , , , , , en , Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation, in: CLEF conference proceeding, Avignon, France, Springer, 2018 |
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| , , , , en , Div150Cred: A Social Image Retrieval Result Diversification with User Tagging Credibility Dataset, in: Multimedia Systems 2015, Portland, OR, USA, 2015 |
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| , , , en , Retrieving Diverse Social Images at MediaEval 2014: Challenge, Dataset and Evaluation, in: MultimediaEval working Notes, 2014 |
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| , , , en , Benchmarking Result Diversification in Social Image Retrieval, in: IEEE International Conference on Image Processing, Paris, France, 2014 |
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, , en , Result Diversification in Social Image Retrieval: A Benchmarking Framework (2016), in: Multimedia Tools and Applications, 75:2(1301-1331)
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| , , , , en , Div400: A Social Image Retrieval Result Diversification Dataset, in: ACM Multimedia Systems, Singapore, 2014 |
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J
| , , , , , , , en , From Genes to Personalized Healthcare: Grid Solutions for the Life Sciencens, IOS Press, Studies in Health Technology and Informatics, deel 126, 2007 |
[URL] |
| , , , , , , , , , en , Comparing Stability and Discriminatory Power of Handcrafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study, in: 12th IEEE European Workshop on Visual Information Processing, pagina's 62-66, 2024 |
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| , , , , , , en , Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score, in: SPIE Medical Imaging, pagina's 101400O-101400O-9, 2017 |
[DOI] [URL] |
| , , en , RadLex Terms and Local Texture Features for Multimodal Medical Case Retrieval, in: Multimodal Retrieval in the Medical Domain (MRMD) 2015, Vienna, Austria, Springer, 2015 |
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| , en , Combining Radiology Images and Meta-data for Multimodal Medical Case-Based Retrieval, Springer, 2017 |
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| , , en , Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, pagina's 22-26, CEUR-WS, 2015 |
[URL] |
| , , en , Texture classification of anatomical structures in CT using a context-free machine learning approach, in: SPIE Medical Imaging 2015, pagina's 94140W-94140W-14, SPIE, 2015 |
[DOI] [URL] |
| , , , en , Overview of the VISCERAL Retrieval Benchmark 2015, in: Multimodal Retrieval in the Medical Domain, Vienna, Austria, Springer, 2015 |
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| , , , en , Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, pagina's 353-360, Springer Berlin Heidelberg, 2013 |
[DOI] [URL] |
| , , , , , , , , , , , , , , , en , VISCERAL - VISual Concept Extraction Challenge in RAdioLogy: ISBI 2014 Challenge Organization, in: Proceedings of the VISCERAL Challenge at ISBI, Beijing, China, pagina's 6-15, 2014 |
[URL] |
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-550 | 551-600 | 601-650 | 651-700 | 701-750 | 751-752 |