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
- 3D-color-grayscale conversion
- acceptance
- Active Learning
- adversarial learning
- air pollution
- algorithms
- Aneurist
- annotation
- Annotation Process
- Annotations
- anonymization
- Aorta segmentation
- AortaSeg24
- ARC
- Atlas
- Atlas-based segmentation
- Augmented reality
- Automatic weak labels
- 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 signal acquisition
- Biological tissue
- biomedical MRI
- BLS
- Brain
- CAD
- case-based retrieval
- CFD
- Challenge Participants
- Chopped carbon fiber
- 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
- Cortical lesions
- 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
- Electromagnetic interference shielding
- Epilepsy
- ethics
- evaluation
- evaluation framework
- experimental evaluation
- Explainable AI
- explainable AI (XAI)
- eye fundus images
- feature extraction
- feature reuse
- Final Ranking
- finetuning
- Flexible sensor
- 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
- Histopathology image classification
- 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
- Magnetic resonance imaging
- 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
- MOT
- 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
- Noisy labels
- 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
- retrospective matching network
- Riesz
- Riesz transform
- risk of bias
- safe storage
- satisfaction
- scalability
- Scanning electron microscopy
- scientific data
- search
- search context
- Search Interfaces
- search pruning
- Security
- segmentation
- semantic search
- SEMG
- 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
- Trustworthy AI
- UAV
- 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 | 851-888 |
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| , , , en , Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT--UPB Participation in the ImageCLEF 2017 tuberculosis Task, in: ImageCLEF working Notes 2017, Dublin, Ireland, 2017 |
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| en , Finding seed points for organ segmentation using example annotations, in: SPIE Medical Imaging 2014, San Diego, CA, USA, 2014 |
[DOI] |
| , , , , , , en , First Steps Towards a Risk of Bias Corpus of Randomized Controlled Trials (2023), in: CARING IS SHARING--EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION(586) |
[DOI] [URL] |
| , , , , , , , en , FLAIR vs MPRAGE contribution to white matter lesion automatic segmentation in MS using localized saliency maps, in: Bern Interpretable AI Symposium (BIAS), 2023 |
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| , Forensigraphie – Möglichkeiten und Grenzen IT-gestützter klinisch-forensischer Bildgebung, hoofdstuk Big data in medical imaging, forensics and beyond, Jan Sramek Verlag, 2017 |
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en , Forschungsanwendungen in der digitalen Radiologie: Big data und Co. (2016), in: Der Radiologe
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| , , , , , , , en , From Genes to Personalized Healthcare: Grid Solutions for the Life Sciencens, IOS Press, Studies in Health Technology and Informatics, deel 126, 2007 |
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| , , , en , From Local to Global: A Holistic Lung Graph Model, in: MICCAI 2018, Granada, Spain, 2018 |
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| , , , en , From NinaPro to MeganePro towards the natural control of myoelectric prosthetic hands, in: Cybathlon Symposium, Zurich, Switzerland, 2016 |
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| , , , , en , 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] |
, , en , Fusing Learned Representations from Riesz and Deep CNNs for Lung Tissue Classification (2019), in: Medical Image Analysis, 56(172-183)
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[URL] |
| , , , , , en , 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] |
| , , , , , , en , 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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| en , Fusion Techniques for Combining Textual and Visual Information Retrieval, in: ImageCLEF, pagina's 95-114, Springer Berlin Heidelberg, 2010 |
[DOI] |
| en , Fusion Techniques in Biomedical Information Retrieval, Springer, 2014 |
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| , , , , , , , , en , Gaze, behavioral, and clinical data for phantom limbs after hand amputation from 15 amputees and 29 controls (2020), in: Scientific Data, 7:1(1--14) |
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| , , , , , , , , , , , , en , Gaze, visual,myoelectric data of grasps for intelligent prosthetics (2020), in: Nature Scientific Data |
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, , , , , , , , , , , , , en , General Overview of ImageCLEF at the CLEF 2015 Labs, in: CLEF 2015 Proceedings, 2015
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| , , , , , , , , , , , , , , , en , General Overview of ImageCLEF at the CLEF 2016 Labs, in: CLEF Proceedings, Springer, 2016 |
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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 , Gesture interaction for content--based medical image retrieval, in: ACM ICMR, Glasgow, UK, 2014 |
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| , , , en , Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation, in: OMIA at MICCAI, Granada, Spain, 2018 |
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| , , , , en , GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets, in: 24th IEEE Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Heraklion Crete, Greece, pagina's 431--434, 2016 |
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| , , en , 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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| , , en , Grid Computing at the University Hospitals of Geneva, in: Proceedings of the 1st healthGrid conference, pagina's 264-276, 2003 |
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| , , , en , Grid Computing Inside Hospitals using Virtualization Technology: A secure solution for heavy computing tasks, in: HUG Research Day 2009, 2009 |
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| , , , en , 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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| , , , , , en , Grid Data Management for Liquid Time Projection Chamber Data Analysis, in: EGI user forum, Vilnius, Lithuania, 2011 |
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| en , 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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| , , , , , en , 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, pagina's 314-320, ACM, 2016 |
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| , , en , Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning, arxiv, 2020 |
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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 , 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, pagina's 156 - 161, 2018 |
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| , , en , Harnessing the Scientific Data Produced by the Experimental Evaluation of Search Engines and Information Access Systems, Elsevier Grand Challenge, 2011 |
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| , en , Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances (2018), in: Journal of Rehabilitation and Assistive Technologies Engineering, 5 |
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| , , , , en , Health care professionals' image use and search behaviour, in: Proceedings of the Medical Informatics Europe Conference (MIE 2006), pagina's 24-32, 2006 |
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| , , , , , , , , , , , , , , , , , , , , , , en , Heterogeneous exascale computing, in: INES 2018 conference, Springer, 2019 |
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| , , en , 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, pagina's 1776–1782, Association for Computational Linguistics, 2023 |
[DOI] [URL] |
| , , 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 |
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, en , Hierarchical classification using a frequency-based weighting and simple visual features (2008), in: Pattern Recognition Letters, 29:15(2011-2017)
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| en , 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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| en , Hierarchical multi-structure segmentation guided by anatomical correlations, in: Proceedings of the VISCERAL Challenge at ISBI, Beijing, China, pagina's 32-36, 2014 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , How can we do better? Pitfalls in biomedical challenge design and how to address them, in: MICCAI workshop LABELS, 2018 |
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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 , 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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| , , , , en , How Grids are Perceived in Healthcare and the Public Service Sector, in: Global HealthGrid: e-Science Meets Biomedical Informatics - Proceedings of HealthGrid 2008, pagina's 61-69, 2008 |
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| , , , , , , , , , , , , , , , , , , , , en , How to exploit weaknesses in biomedical challenge design and organization, in: MICCAI 2018, Granada, Spain, Springer, 2018 |
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| en , 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, pagina's 633-642, Springer, 2005 |
[DOI] |
, , en , 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] |
| , , en , 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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| 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 | 851-888 |