Trefwoorden:
- https://publications.hevs.ch/index.php/keywords/single/197
- 2D-based 3D retrieval
- 3D information retrieval
- 3D reconstruction
- 3D texture
- acceptance
- Active Learning
- adversarial learning
- 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
- citation screening
- Classification
- clinical data
- clinical data access
- clinical data analysis
- Clinical decision support
- 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
- digital pathology
- Discrete wavelet transform
- distributed computing
- Dossier Patient
- efficient access
- eHealth
- Epilepsy
- ethics
- evaluation
- evaluation framework
- experimental evaluation
- explainable AI (XAI)
- 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
- human-machine interaction
- 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 graph model
- 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
- multi-task learning
- 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
- Pulmonary embolism
- Pulmonary hypertension
- 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
- whole slide imaging
- wrong labels
- Yearbook
Publicaties van Henning Müller gesorteerd op eerste auteur
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| en , Evaluation campaigns in medical imaging, in: Biomedical Image Processing - Methods and Applications, pagina's 497-520, Springer, 2011 |
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| , , , , en , Overview of the CLEF 2011 medical image classification and retrieval tasks, in: CLEF 2011 working notes, Amsterdam, The Netherlands, 2011 |
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, , en , Special Issue (2015), in: Computerized Medical Imaging and Graphics, 39
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| , , , , en , Automated diabetic macular edema (DME) analysis using fine tuning with Inception-Resnet-v2 on OCT images, in: IECBES, Malaysia, 2018 |
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| , , , , , , en , Khresmoi Professional: Multilingual, Multimodal Professional Medical Search, in: European Conference on Information Retrieval, Amsterdam, Netherlands, 2014, 2014 |
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| , , en , Generalizing Convolution Neural Networks on Stain Color Heterogeneous Data for Computational Pathology, in: SPIE Medical Imaging, Houston, TX, USA,, 2020 |
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| , , , , , , , , , en , CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII (2023), in: Insights into Imaging, 14:1(1--13) |
| , , , , , , , , , , , , , , , , , , , , , , , , en , METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII (2024), in: Insights into Imaging, 2023 |
[DOI] |
| , en , Safe Storage and Multi-modal Search for Medical Images, in: MIE 2011, Oslo, Norway, 2011 |
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| en , Semantics in Radiology, in: ECIR EPOS poster, Vienna, Austria, 2015 |
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| en , Semantics in radiology, in: ECR, Vienna, Austria, 2013 |
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| , , en , Overview of ImageCLEFtuberculosis 2022 -- CT-based Caverns Detection and Report, in: CLEF working Notes, 2022 |
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| , , en , Overview of ImageCLEFtuberculosis 2022: CT-based cavern detection and report, in: Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2022 Working Notes, 2022 |
| , , , en , Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification, in: CLEF working notes, 2021 |
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| , , , , en , Overview of ImageCLEFtuberculosis 2020: Automatic CT-based report generation, in: CLEF working notes, CEUR, 2020 |
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, , , , , , en , Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations, in: MICCAI medical computer vision workshop at MICCAI 2015, Munich, Germany, 2016
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| , , , , , en , Fast Content-based Visual Retrieval of Radiology Cases in Hospital Systems, in: RSNA, Chicago, IL, USA, 2012 |
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| , , , , en , Fast search for radiology cases in hospital systems via content-based image retrieval, in: European Congress of Radiology, Vienna, Austria, 2013 |
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| , , en , VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions, in: MCBR-CDS MICCAI workshop, Nice, France, 2013 |
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| , , en , VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions, in: MCBR-CDS MICCAI workshop, Nice, France, 2012 |
| , , , en , Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval, in: MICCAI, Lima, Peru, 2020 |
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| en , Benchmarking multimedia retrieval, 2011 |
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| , , , , en , Augmented medical image management, in: Advanced information and telemedicine technologies for health (AITTH 2005), Minsk, Belarus, 2005 |
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| , , , , en , Augmented Medical Information Management Using Content-Based Image Retrieval, in: Medical Imaging and Telemedicine, pagina's 63-67, 2005 |
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| , , en , 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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| , , en , 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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| , , en , Switzerland as a hub for AI in radiology, in: Swiss congress of radiology 2018, Lausanne, Switzerland, 2018 |
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, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Why rankings of biomedical image analysis competitions should be interpreted with care (2018), in: Nature Communications
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions (2018), in: arXiv |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Metrics reloaded: recommendations for image analysis validation (2024), in: Nature Methods |
[DOI] |
| , , en , Metrics reloaded: Pitfalls and recommendations for image analysis validation (2022), in: ArXiv |
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| , , , , en , Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter-and Intra-Subject Study (2021), in: Sensors, 21:22(7500) |
| , , en , The Reality of Content-based Image Retrieval, in: Proceeding of the meeting Suchbilder, pagina's 86-98, 2003 |
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| , , , , , , , , , , , , en , Empowering Digital Pathology Applications through Explainable Knowledge Extraction Tools (2022), in: Journal of Digital Pathology |
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| , , , en , H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression, in: ICCV 2021 workshop on Computational Challenges in Digital Pathology, 2021 |
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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 , Multimodal Representations of Biomedical Knowledge from Limited Training Whole Slide Images and Reports using Deep Learning (2024), in: Medical Image Analysis |
[DOI] |
| , , , , , , , en , Multi-Scale Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations, in: COMPAY workshop at MICCAI, 2021 |
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| , , en , Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations, in: Workshop Artificial Intelligence for Digital Pathology, ICPR, Milano, Italy, 2021 |
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| , , en , Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: an experiment on histopathology image classification (2021), in: Medical Image Analysis |
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| , , , , , , en , Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images (2021), in: Frontiers in Computer Science |
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| , , , , , , , , , en , Data-driven color augmentation for H\&E stained images in computational pathology (2023), in: Journal of Pathology Informatics(100183) |
| , , en , A multi-task Multiple Instance Learning algorithm to analyze large whole slide images from the BRIGHT challenge 2022, in: ISBI Challenges 2022, Bangalore India, 2022 |
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| , , , en , Preparing user tests for assessing a medical image retrieval system: A pilot study, in: MedInfo, Copenhagen, Denmark, 2013 |
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| , , , en , Accessing the medical literature with content-based visual retrieval and text retrieval techniques., in: Proceedings of the Radiological Society of North America (RSNA), Chicago, Illinois, US, 2011 |
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| , , , , , , en , A Visual Information Retrieval System for Radiology Reports and the Medical Literature, in: Multimedia modeling conference, Dublin, Ireland, 2014 |
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| , , , , , en , KHRESMOI for radiologists - Visual search in radiology archives and the open-access medical literature (2013), in: Health Management, 13:3(23--24) |
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| , , en , Multi-scale visual words for hierarchical medical image categorization, in: SPIE Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, San Diego, CA, USA, pagina's 83190F-83190F-11, 2012 |
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| , , en , The MedGIFT group at ImageCLEFmed 2011, in: CLEF working notes, Amsterdam, The Netherlands, 2011 |
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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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| 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 | 851-851 |