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
Alle publicaties voor Henning Müller
| 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 |
2019
| , , , , , , , en , LifeCLEF 2019: Biodiversity Identification and Prediction Challenges, in: ECIR 2019, Cologne, Germany, 2019 |
|
| en , Lung Graph-Model Classification with SVM and CNN for Tuberculosis Severity Assessment and Automatic CT Report Generation, in: CLEF working notes 2019, Lugano Switzerland, 2019 |
|
| , , en , Machine Learning in Medical Imaging, Radenci, Slovenia, 2019 |
|
| en , Medical Decision Support Using Increasingly Large Multimodal Data Sets, hoofdstuk Medical Decision Support Using Increasingly Large Multimodal Data Sets, Wiley and Sons, 2019 |
|
| , , , , , , , en , Myo electricity and 3D printing: a resource for revolutionary hand prosthetics, in: FESSH, Berlin (Germany), 2019 |
|
| , en , Neural Network Training for Cross-Protocol Radiomic Feature Standardization in Computed Tomography (2019), in: Journal of Medical Imaging, 6:3(024008) |
[URL] |
| , , , , en , Overview of ImageCLEFtuberculosis 2019 --- Automatic CT--based Report Generation and Tuberculosis Severity Assessment, in: CLEF working notes, Lugano, Switzerland, 2019 |
|
| , , , , , , , , , en , Overview of LifeCLEF 2019: a new snapshot of the performance of species identification and prediction algorithms, in: CLEF conference Proceedings, Lugano, Switzerland, Springer LNCS, 2019 |
|
| , , en , Overview of the ImageCLEFmed 2019 Concept Detection Task, in: CLEF working notes, 2019 |
|
| , , en , Overview of the ImageCLEFmed 2019 concept prediction task, in: CLEF2019 Working Notes. CEUR Workshop Proceedings, CEUR-WS. org, Lugano, Switzerland (September 09-12 2019), 2019 |
|
en , Parallel feature extraction tools to speed up feature extraction (2019), in: Frontiers in Neurorobotics
|
|
| , , , , , , , en , Report on CLEF 2019, in: SIGIR Forum, 2019 |
|
, , , , , en , Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness (2019), in: Nature Scientific Reports, 9:1(4500)
|
|
, , , en , Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology (2019), in: Frontiers in Bioengineering and Biotechnology-Bioinformatics and Computational Biology
|
|
| , en , Visualizing and interpreting feature reuse of pretrained CNNs for histopathology, in: IMVIP 2019, Dublin, Ireland, 2019 |
|
| , , , , en , VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019, in: CLEF working notes, Lugano, Switzerland, 2019 |
|
2018
| , , , , , , en , A retrieval system for digital pathology for private datasets and scientific literature, in: European Congress of Digital Pathology, Helsinki, Finland, 2018 |
|
| , , , , , , , , en , Aiming with varying degrees of accuracy requirements: Fitt’s Law and associated gaze behaviour in upper limb amputees, in: Urobody conference, Bremen, Germany, 2018 |
|
| , , , , en , An Automatically Generated Texture-based Atlas of the Lungs, in: SPIE Medical Imaging, SPIE, 2018 |
|
| , , , , , , , , , en , Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Proceedings of the ACNS conference 2018, Melbourne, Australia, 2018 |
|
| , , , , , , , , , , en , Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Hand, Brain and Technology: The Somatosensory System, Monte Verità, Switzerland, 2018 |
|
| , , , , en , Automated diabetic macular edema (DME) analysis using fine tuning with Inception-Resnet-v2 on OCT images, in: IECBES, Malaysia, 2018 |
|
| , , , , , en , Automatic prediction of capillarity patterns on Optical Coherence Tomography Angiography images, in: ARVO Annual meeting, Honolulu, HI, USA, 2018 |
|
| , , , , , en , Convolutional Neural Networks for identification and classification of optic nerve damage features, in: ARVO Annual meeting, Honolulu, HI, USA, 2018 |
|
| , , en , Deep Features and Data Reduction for Classification of SD-OCT Images: Application to Diabetic Macular Edema, in: ICIAS 2018, Kuala Lumpur, Malaysia, 2018 |
|
| , , , en , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv |
|
| en , Deep Multimodal Classification of Image Types in Biomedical Journal Figures, in: CLEF 2018, Avignon, France, Springer, 2018 |
|
| , , , , en , Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018 |
|
| , en , Distributed container-based evaluation platform for private/large datasets, in: ISPDC 2018, Geneva, Switzerland, 2018 |
|
| , , , , , , , , , , , , en , Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook (2018), in: Journal of Data and Information Quality |
|
| , , , en , From Local to Global: A Holistic Lung Graph Model, in: MICCAI 2018, Granada, Spain, 2018 |
|
| , , , , , , 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 |
|
| , , , en , Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation, in: OMIA at MICCAI, Granada, Spain, 2018 |
|
| , , , , , 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 |
|
| , 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 |
[DOI] [URL] |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , How can we do better? Pitfalls in biomedical challenge design and how to address them, in: MICCAI workshop LABELS, 2018 |
|
| , , , , , , , , , , , , , , , , , , , , en , How to exploit weaknesses in biomedical challenge design and organization, in: MICCAI 2018, Granada, Spain, Springer, 2018 |
|
| , , en , Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content, in: MICCAI 2018 - Computational Pathology Workshop (COMPAY), Granada, Spain, 2018 |
|
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions (2018), in: arXiv |
|
, en , Large-scale Retrieval for Medical Image Analytics: A Comprehensive Review (2018), in: Medical Image Analysis
|
|
, en , Late Fusion of Deep Learning and Handcrafted Visual Features for Biomedical Image Modality Classification, in: IET Image Processing, 2018
|
|
| , , , , , , , , en , Multi-functional control and usage of a 3D printed robotic hand prosthesis with the Myo armband by hand amputees (2018), in: BioRxiv |
|
| , , , en , Muscle Synergy Analysis of a Hand-Grasp Dataset: a limited subset of motor modules may underlie a large variety of grasps (2018), in: Frontiers in Neurorobotics |
|
| , , , , , , , , , , , , en , Myo-electricity and gaze tracking data to improve hand prosthetics and neuro-cognitive examination, in: FESSH 2018, Copenhagen, Denmark, 2018 |
|
| , , en , OCT-NET: A convolutional network for automatic classification of normal and DME volumnes in OCT eye images, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington DC, USA, 2018 |
|
| , , , , en , Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task, in: CLEF 2018 working notes, Avignon, France, CEUR, 2018 |
|
| , , , , , , , , , , , , , , , , , , en , Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation, in: CLEF conference proceeding, Avignon, France, Springer, 2018 |
|
| , , en , Overview of ImageCLEFtuberculosis 2018 - Detecting multi-drug resistance, classifying tuberculosis type, and assessing severity score, in: CLEF working notes, CEUR, 2018 |
|
| , , , , , , en , Overview of LifeCLEF 2018: a large-scale evaluation of species identification and recommendation algorithms in the era of AI, in: CLEF conference proceeding, Avignon, France, Springer, 2018 |
|
| , , en , Overview of the ImageCLEF 2018 caption prediction tasks, in: CLEF working notes, CEUR, 2018 |
|
| 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 |