Trefwoorden:
- https://publications.hevs.ch/index.php/keywords/single/197
- (Bio-) Medical Image Registration
- 2D-based 3D retrieval
- 3D information retrieval
- 3D Network
- 3D reconstruction
- 3D Segme
- 3D texture
- 3D U-Net Author Keywords Segmentation
- acceptance
- Active Learning
- adversarial learning
- air pollution
- algorithms
- Aneurist
- annotation
- Annotation Process
- Annotations
- anonymization
- Aorta segmentation
- AortaSeg24
- ARC
- Atlas
- Atlas-based segmentation
- Augmented reality
- Bag of visual words
- Bag-of-Colors
- Bayesian methods
- benchmark
- Benchmark testing
- Benchmarking
- big data
- Biodiversity Machine Learning AI Species Individual Identification Prediction Species Distribution Modeling
- biological organs
- Biological tissue
- biomedical MRI
- CAD
- case-based retrieval
- CFD
- Challenge Participants
- citation screening
- Classification
- clinical data
- clinical data access
- clinical data analysis
- Clinical decision support
- clinical information system
- clinical workflows
- Common Benchmark
- communication protocol
- complex systems
- component-level evaluation
- compound figure separation
- Computed Tomography Angiography
- computed tomography MeSH Terms Cone-Beam Computed Tomography
- computer tomography
- computer vision
- computer-aided diagnosis
- computerised tomography
- computing infrastructures
- concept vectors
- Cone Beam Computed Tomography Deep Learning Image Segmentation ToothFairy
- Cone-beam Computed Tomography Images
- Cone-beam Computed Tomography Volume
- Content-based image retrieval
- content–based search
- corpus
- crowdsourcing
- CT images
- Cultural heritage
- curriculum learning
- Data Augmentation
- Data Challenges
- Data Challenges · (Bio-) Medical Image Registration
- data mining
- datamining imaging indexing ontology radiology
- Deep convolutional neural network
- Deep Learning
- Deep Neural Network
- Desktop Grid
- detection
- Diagnostic aid
- Dice Loss
- Dice Similarity Coefficient
- DICOM
- DiffusionModel
- Digital hospital
- digital pathology
- Discrete wavelet transform
- distributed computing
- Domain Dataset
- Dossier Patient
- EEE Keywords Three-dimensional displays
- efficient access
- eHealth
- Epilepsy
- ethics
- evaluation
- evaluation framework
- experimental evaluation
- Explainable AI
- explainable AI (XAI)
- eye fundus images
- feature extraction
- feature reuse
- Final Ranking
- finetuning
- Flickr.
- Focal Loss
- fracture retrieval
- Fuse-MyCells
- future internet
- Generative Adversarial Networks
- generative models
- 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
- human-machine interaction
- Humans
- image acquisition
- image analysis
- image browsing
- Image Captioning
- image categorization
- image classif
- image classification
- Image databases
- Image management
- image processing
- Image registration
- image retrieval
- image retrieval evaluation
- image segmentation
- image storage
- Image Understanding
- Image-to-Image
- ImageCLEF
- ImageCLEF benchmark
- ImageCLEF benchmarking lab
- Imaging
- Inferior Alveolar Canal
- Inferior Alveolar Nerve
- 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
- Intersection Over Union
- interstitial lung diseases
- inverted file
- Irrigation
- key dimension
- Knowledge Injection
- language modelling
- large language model
- Large Language Models
- Lesion detection
- Lesion segmentation
- Lightsheet Microscopy
- literature
- log file analysis
- lung
- Lung graph model
- Lung image
- Lung image analysis
- Lung image retrieval
- lung segmentation
- lung tissue classification
- machine learning
- management
- Mandible
- Mandibular Canal
- MapReduce
- MediaEval benchmark
- Medical
- Medical computer vision
- Medical Experts
- medical image analysis
- Medical image analysis and retrieval
- medical image processing
- Medical image processing Medical image caption analysis Medical concept prediction Visual question answering Generative Adversarial Networks Synthetic Data Generation Image Segmentation Pictogram communication Multilingual Image Retrieval ImageCLEF
- Medical image retrieval
- medical image search
- medical imaging
- Medical informatics
- Medical information retrieval
- medical information search
- medical search system
- medical synthetic data
- Medical Visual Question Answering
- Mental Foramen
- MeSH
- mobile devices
- mobile information retrieval
- morphometric features
- MRI
- MRML
- multi-atlas based segmentation
- Multi-label classification
- multi-task learning
- multidimensional image data analysis
- multilingual
- multimedia content analysis
- multimedia library
- multimodal
- Multimodal information retrieval and information fusion
- Multimodal Learning
- multimodal retrieval
- Multiple sclerosis
- Multiview Fusion
- Natural Language Processing
- Naturalistic studies
- negative relevance feedback
- Neural Network
- nosocomial infection
- Open access
- organ segmentation
- Panoramic Radiographs
- Pattern Recognition
- performance evaluation
- pervasive computing
- pollutants dispersion
- precision
- Privacy
- Private Dataset
- Proposals Index Terms Inferior Alveolar
- Prototype evaluation
- Public Datasets
- Pulmonary embolism
- Pulmonary hypertension
- query drift
- query modification
- query-adaptive fusion
- Radiology
- Radiology Report Generation
- 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
- Sparse Labeling
- speed evaluation
- Statistical Shape Model
- study design
- support vector machines
- Surgery
- Systematic Review
- systematic reviews
- Systèmes d’Information
- Systems
- target testing
- Taverna
- Teeth
- Telemedicine
- teleradiology
- terminology
- test collection
- test collection creation including signals and images
- text retrieval
- texture analysis
- texture classification
- Three-Dimensional
- tooth
- topic creation
- training
- Training Data
- Training Set
- 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
- whole slide imaging
- wrong labels
- X-ray imaging
- Yearbook
Publicaties van Henning Müller gesorteerd op 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 | 751-800 | 801-850 | 851-879 |
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| , en , The truth about Corel - Evaluation in Image Retrieval, in: Proceedings of the International Conference on the Challenge of Image and Video Retrieval (CIVR 2002), pagina's 38-49, Springer-Verlag, 2002 |
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| , , , , , en , The use of DeepLabCut to detect and quantify mirror movements in children with unilateral cerebral palsy, in: Meeting European Academy of Childhood Disability - EACD, Barcelona, Spain, 2022 |
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| , , , , , en , The use of DeepLabCut to detect and quantify mirror movements in children with unilateral cerebral palsy, in: Swiss Academy of Childhood Disability, Bern, Switzerland, 2022 |
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, , , en , The Use of MedGIFT and EasyIR for ImageCLEF 2005, in: CLEF, pagina's 724-732, 2006
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[DOI] |
| , , en , Three dimensional multi–scale visual words for texture–based cerebellum segmentation, in: Medical Imaging 2012: Image Processing, San Diego, CA, USA, pagina's 83142Z, SPIE, 2012 |
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, , en , Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities (2014), in: Medical Image Analysis, 18:1(176-196)
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[DOI] [URL] |
| , , en , Towards a fair benchmark for image browsers, in: SPIE Photonics East, Voice, Video, and Data Communications, pagina's 262-271, 2000 |
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| en , Towards automated component--level evaluation, in: Proceeding of the SIGIR Workshop on new evaluation methodologies, 2009 |
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| , , , , , , , en , Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis, ISMRM & ISMRT 2023 Annual Meeting & Exhibition, 2023 |
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| , , , , , , , en , Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis, in: Bern Interpretable Symposium (BIAS) 2023, 2023 |
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| , , , en , Towards Systematic Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, Rome, Italy, 2012 |
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| , , , , en , Towards Translational Incremental Similarity-based Reasoning in Breast Cancer Grading, in: SPIE Medical Imaging, pagina's 1-12, 2009 |
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| , , , , en , Training a deep neural network for small and highly heterogeneous MRID datasets for cancer grading, in: EMBC Conference, IEEE, 2020 |
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| , en , Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images, in: MICCAI workshop LABELS, Springer, 2017 |
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| , , , , en , Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, pagina's 1758--1761, 2020 |
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| , , , en , Trans-Atlantic Collaboration for Evaluating Image Retrieval Systems in ImageCLEF biomedical Image Retrieval Task, in: Workshop on NSF/FP6 cooperations at the 2005 eChallenges conference, 2005 |
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| , , , , , , , , en , TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection (2025), in: arXiv preprint arXiv:2507.07622 |
| , , , , , , , , en , TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection (2025), in: Elsevier |
[DOI] |
| , 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 , Translational Medicine - The Need for Integrative Informatics, in: Medical Informatics Europe (MIE), Oslo, Norway, 2011 |
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| , , , , , , , en , Tumor proliferation grading from whole slide images, in: SPIE Medical Imaging, Houston, Texas, USA, 2018 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Understanding metric-related pitfalls in image analysis validation (2024), in: Nature Method |
[DOI] |
| , , , , , en , Une approche pratique de l’interopérabilité entre hôpitaux et médecinstraitants en Suisse, in: Proceedings of the 22nd Annual Symposium of the Swiss Society for Medical Informatics, Bern, 2009 |
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| , Une plateforme pour la santé du futur (2011), in: Hémisphères(46) |
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, , en , University and Hospitals of Geneva at ImageCLEF 2007, in: Working Notes of the 2007 CLEF Workshop, 2007
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| , , en , University and Hospitals of Geneva Participating at ImageCLEF 2007, in: CLEF 2007 Proceedings, pagina's 649-656, Springer, 2008 |
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| , , , , , , , , , , , , , , , , , , en , Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations (2022), in: Nature Partner Journal on Digital Medicine |
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| , , , en , Unsupervised Deep Network for Large Deformations followed by Instance Optimization and Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge, in: MICCAI BrainLes workshop, 2022 |
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| en , Unsupervised Learning-based non-rigid registration of high resolution histology images, in: MICCAI workshop on Machine Learning in Medical Imaging, Springer, 2020 |
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| , , , en , User acceptance of clinical information systems: A methodological approach to identify the key dimensions allowing a reliable evaluation framework (2004), in: MedInfo 2004, 11:2(1038-1042) |
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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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| , User Interaction and Performance Evaluation in Content-Based Visual Information Retrieval, Computer Vision and Multimedia Laboratory, University of Geneva, 2002 |
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, , , , , en , User-oriented evaluation of a medical image retrieval system for radiologists (2015), in: International Journal of Medical Informatics(774-783)
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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 , Using eye tracking on a clinical viewing station to help investigate image search requirements of radiologists., in: RSNA Proceedings, 2011 |
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| en , Using Google Glass to enhance pre-hospital care, in: Swiss e-health summit, Bern, Switzerland, 2014 |
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| , , , , , en , Using heterogeneous annotation and visual information for the benchmarking of image retrieval systems, in: Internet Imaging VII, pagina's 34-45, 2006 |
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| , , , en , Using MapReduce for Large-scale Medical Image Analysis (2015), in: arXiv:1510.06937 |
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| , , , en , 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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| , , , en , Using medGIFT and easyIR for the ImageCLEF 2005 evaluation tasks, in: Working Notes of the 2005 CLEF Workshop, 2005 |
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| , , en , Using Medline queries to generate image retrieval tasks for benchmarking, in: Medical Informatics Europe (MIE2008), pagina's 523-528, IOS press, 2008 |
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| , en , Using Multiscale Visual Words for Lung Texture Classification and Retrieval, in: Medical Content-based Retrieval for Clinical Decision Support, Toronto, Canada, pagina's 69-79, Lecture Notes in Computer Sciences (LNCS), 2012 |
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| , , , en , Using open source software for medical image retrieval, in: Medinfo 2004, 2004 |
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, en , Using Probability Maps for Multi-organ Automatic Segmentation, in: MICCAI MCV workshop, Nagoya, Japan, 2014
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| , , , , en , Using Publicly Available Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction, in: Multimedia Modeling (MMM 2020), Seoul, Korea, 2020 |
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| , en , Using Smart Glasses in Medical Emergency Situations, a Qualitative Pilot Study, in: WirelessHealth 2016, Bethesda, pagina's 1-5, 2016 |
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| , en , Using the Cloud as a Platform for Evaluation and Data Preparation, hoofdstuk Using the Cloud as a Platform for Evaluation and Data Preparation, Springer, 2016 |
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| en , Using the GNU Image Finding Tool for Medical image retrieval, in: Conference of Oshca - the Open Source Health Care Alliance, 2003 |
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| , , en , Using the Grid for Enhancing the Performance of a Medical Image Search Engine, in: 21th IEEE Symposium on Computer-Based Medical Systems (CBMS), pagina's 367-372, 2008 |
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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 | 751-800 | 801-850 | 851-879 |