Schlagworte:
- 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
Publikationen von Henning Müller sortiert nach Titel
| 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 |
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| , , , , und , Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control (2023), in: IEEE Access, Volume 11(108544 - 108560) |
[DOI] |
| , , , , , und , Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography (2010), in: Artificial Intelligence in Medicine, 50:1(13--21) |
[DOI] [URL] |
| , , , , , , und , Fusion of Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema (DME) Detection on Optical Coherence Tomography (OCT) Images, in: EMBC 2018, Honolulu, HI, USA, 2018 |
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| und , Fusion Techniques for Combining Textual and Visual Information Retrieval, in: ImageCLEF, Seiten 95-114, Springer Berlin Heidelberg, 2010 |
[DOI] |
| und , Fusion Techniques in Biomedical Information Retrieval, Springer, 2014 |
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, , , , , , , , , , , , , und , General Overview of ImageCLEF at the CLEF 2015 Labs, in: CLEF 2015 Proceedings, 2015
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| , , , , , , , , , , , , , , , und , General Overview of ImageCLEF at the CLEF 2016 Labs, in: CLEF Proceedings, Springer, 2016 |
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| , , und , Gesture interaction for content--based medical image retrieval, in: ACM ICMR, Glasgow, UK, 2014 |
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| , , , und , Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation, in: OMIA at MICCAI, Granada, Spain, 2018 |
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| , , , , und , GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets, in: 24th IEEE Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Heraklion Crete, Greece, Seiten 431--434, 2016 |
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| , , und , Grading diabetic retinopathy and prostate cancer diagnostic images with deep quantum ordinal regression (2022), in: Computers in Biology and Medicine, 145(105472) |
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| , , und , Grid Computing at the University Hospitals of Geneva, in: Proceedings of the 1st healthGrid conference, Seiten 264-276, 2003 |
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| , , , und , Grid Computing Inside Hospitals using Virtualization Technology: A secure solution for heavy computing tasks, in: HUG Research Day 2009, 2009 |
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| , , , und , Grid Computing Inside Hospitals using Virtualization Technology: A secure solution for heavy computing tasks, in: Annual Conference for Swiss Society of Medical Informatics, Bern, Switzerland, 2009 |
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| , , , , , und , Grid Data Management for Liquid Time Projection Chamber Data Analysis, in: EGI user forum, Vilnius, Lithuania, 2011 |
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| und , Ground truth generation in medical imaging: A crowdsourcing based iterative approach, in: Workshop on Crowdsourcing for Multimedia, ACM Multimedia, Nara, Japan, 2012 |
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| , , , , , und , Guider la conception itérative de prototypes au moyen du Modèle d’Evaluation de l’Activité, 28eme Conférence Francophone sur l'Interaction Homme-Machine, Fribourg, Switzerland, Seiten 314-320, ACM, 2016 |
[URL] |
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| , , , , , und , Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier, in: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), Enschede, The Netherlands, Seiten 156 - 161, 2018 |
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| , , und , Harnessing the Scientific Data Produced by the Experimental Evaluation of Search Engines and Information Access Systems, Elsevier Grand Challenge, 2011 |
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| , und , Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances (2018), in: Journal of Rehabilitation and Assistive Technologies Engineering, 5 |
[DOI] [URL] |
| , , , , und , Health care professionals' image use and search behaviour, in: Proceedings of the Medical Informatics Europe Conference (MIE 2006), Seiten 24-32, 2006 |
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| , , und , HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, Canada, Seiten 1776–1782, Association for Computational Linguistics, 2023 |
[DOI] [URL] |
| , , und , 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, Seiten 22-26, CEUR-WS, 2015 |
[URL] |
, und , Hierarchical classification using a frequency-based weighting and simple visual features (2008), in: Pattern Recognition Letters, 29:15(2011-2017)
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| und , Hierarchical Multi-atlas Based Segmentation for Anatomical Structures: Evaluation in the VISCERAL Anatomy Benchmarks, in: Medical Computer Vision. Large Data in Medical Imaging, Springer, 2014 |
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| und , Hierarchical multi-structure segmentation guided by anatomical correlations, in: Proceedings of the VISCERAL Challenge at ISBI, Beijing, China, Seiten 32-36, 2014 |
[URL] |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und , How can we do better? Pitfalls in biomedical challenge design and how to address them, in: MICCAI workshop LABELS, 2018 |
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| , , , , und , How clinical information systems can support life science research (2008), in: Swiss Medical Informatics, 64(21-24) |
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, , , , , , und , How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review (2023), in: NeuroImage: Clinical, 39(103491)
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[DOI] [URL] |
| , , , , und , How Grids are Perceived in Healthcare and the Public Service Sector, in: Global HealthGrid: e-Science Meets Biomedical Informatics - Proceedings of HealthGrid 2008, Seiten 61-69, 2008 |
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| , , , , , , , , , , , , , , , , , , , , und , How to exploit weaknesses in biomedical challenge design and organization, in: MICCAI 2018, Granada, Spain, Springer, 2018 |
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| und , How to Visually Retrieve Images from the St. Andrews Collection Using GIFT., in: Multilingual Information Access for Text, Speech and Images: Result of the fifth CLEF evaluation campaign, Seiten 633-642, Springer, 2005 |
[DOI] |
, , und , 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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[DOI] |
| , , und , Hunting moving targets: an extension to Bayesian methods in multimedia databases, Computer Vision Group, Computing Centre, University of Geneva, Nummer 99.03, 1999 |
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| , , und , Hunting moving targets: an extension to Bayesian methods in multimedia databases, in: Multimedia Storage and Archiving Systems IV (VV02), Seiten 328-337, 1999 |
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, und , Image Classification with a Frequency-based Information Retrieval Schema for ImageCLEF 2006, in: CLEF 2006 Proceedings, Seiten 638-643, 2007
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| , , und , Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content, in: MICCAI 2018 - Computational Pathology Workshop (COMPAY), Granada, Spain, 2018 |
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| , , und , Image Retrieval in Medicine: Motivations, Methods, and Results of the ImageCLEF medical image retrieval task, in: ISHIMR 2007, Sheffield, England, 2007 |
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| , , und , Image Retrieval in Medicine: The imageCLEF 2009 Challenge, in: RSNA 2009, Chicago, IL, USA, 2009 |
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| und , Image Retrieval in Medicine: The ImageCLEF Medical Image Retrieval Evaluation (2007), in: ASIST Bulletin, February/March |
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| , , und , Image Retrieval in Radiology: The ImageCLEF Challenge, 2008 |
| , , , , und , Image-based diagnostic aid for interstitial lung disease with secondary data integration, in: SPIE Medical Imaging, 2007 |
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| , , und , ImageCLEF - Experimental Evaluation of Visual Information Retrieval (2010), in: Springer |
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| , , und , ImageCLEF 2004-2005: Results Experiences and New Ideas for Image Retrieval Evaluation, in: International Conference on Content-Based Multimedia Indexing (CBMI 2005), 2005 |
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| , und , ImageCLEF 2004: Combining Image and Multi-lingual Search for Medical Image Retrieval., in: Multilingual Information Access for Text, Speech and Images: Result of the fifth CLEF evaluation campaign, Seiten 718-727, Springer, 2005 |
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| , , , , , , , , , , und , ImageCLEF 2013: the vision, the data and the open challenges, in: Proceedings of CLEF 2013, Springer, 2013 |
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, , , , , , , , , , und , ImageCLEF 2014: Overview and analysis of the results, in: CLEF Proceedings, 2014
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| , , , , , , , , , , , , , , , , , , , , , , und , ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications, in: European Conference on Information Retrieval, Springer, Seiten 382--389, 2022 |
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| , , , , , , , , , und , ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications, in: European Conference on Information Retrieval, Springer, Seiten 557--567, 2023 |
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| , , , und , ImageCLEFmed: Developing a Test Collection for Biomedical Image Retrieval, in: Workshop on SNF/EU cooperation projects, 2006 |
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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 | 601-650 | 651-700 | 701-750 | 751-752 |