Keywords:
- 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
Publications of Henning Müller sorted by journal and type
| 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 |
Publications of type Inbook
2019
| , , , , , , , and , Biodiversity information retrieval through content-based identification: a long-term evaluation, Springer, 2019 |
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| and , EaaS – Evaluation-as-a-Service in scientific challenges, Springer, 2019 |
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| , and , Experiences from the ImageCLEF Medical Retrieval and Annotation Tasks, Springer, 2019 |
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| and , Medical Decision Support Using Increasingly Large Multimodal Data Sets, chapter Medical Decision Support Using Increasingly Large Multimodal Data Sets, Wiley and Sons, 2019 |
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2017
| , and , Combining Radiology Images and Meta-data for Multimodal Medical Case-Based Retrieval, Springer, 2017 |
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| , , , , , , and , Elsevier book on Texture Analysis, chapter Analysis of Histopathology Images: From Traditional Machine Learning to Deep Learning, 2017 |
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| , Forensigraphie – Möglichkeiten und Grenzen IT-gestützter klinisch-forensischer Bildgebung, chapter Big data in medical imaging, forensics and beyond, Jan Sramek Verlag, 2017 |
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| , , , and , Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark, chapter Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark, Springer, 2017 |
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| , , , and , Text- and content-based medical image retrievals in the VISCERAL retrieval benchmark, Springer, 2017 |
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| , and , VISCERAL book, chapter Using the Cloud as a Platform for Evaluation and Data Preparation, Springer, 2017 |
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2016
| , and , Using the Cloud as a Platform for Evaluation and Data Preparation, chapter Using the Cloud as a Platform for Evaluation and Data Preparation, Springer, 2016 |
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2015
| , and , Comprehensive Health Monitoring and Personalized Feedback Using Multimedia Data, chapter Meaningful bags of words for medical image classification and retrieval, Springer, 2015 |
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2014
| , and , Meaningful bags of words for medical image classification and retrieval, Springer, 2014 |
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2012
| , and , Yearbook 2012 section article, Yearbook of Medical Informatics, 2012 |
2010
| and , Seven Years of ImageCLEF, In: ImageCLEF – Experimental evaluation of visual information retrieval, pages 3-18, Springer, 2010 |
Publications of type Incollection
2015
| , , , , , , , and , Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, pages 581-588, Springer International Publishing, 2015 |
[DOI] |
2014
, , , , , and , Overview of the 2013 workshop on Medical Computer Vision (MCV 2013), in: Medical Computer Vision. Large Data in Medical Imaging, pages 3-10, Springer International Publishing, 2014
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[DOI] [URL] |
2013
| , , , and , Epileptogenic lesion quantification in MRI using contralateral 3D texture comparisons, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, pages 353-360, Springer Berlin Heidelberg, 2013 |
[DOI] [URL] |
2011
| and , Content-based medical image retrieval, in: Biomedical Image Processing - Methods and Applications, pages 471-496, Springer, 2011 |
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| and , Evaluation campaigns in medical imaging, in: Biomedical Image Processing - Methods and Applications, pages 497-520, Springer, 2011 |
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2010
| , Creating realistic topics for image retrieval evaluation, in: ImageCLEF – Experimental evaluation of visual information retrieval, pages 45-62, Springer, 2010 |
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| and , Fusion Techniques for Combining Textual and Visual Information Retrieval, in: ImageCLEF, pages 95-114, Springer Berlin Heidelberg, 2010 |
[DOI] |
| and , Seven Years of ImageCLEF, in: ImageCLEF Book, pages 3-18, Springer, 2010 |
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| , and , The ImageCLEF Medical Image Retrieval Task, in: ImageCLEF – Experimental evaluation of visual information retrieval, pages 221-238, Springer, 2010 |
2001
| , , , and , Design and Evaluation of a content-based image retrieval system, pages 125-151, 2001 |
[URL] |
Publications of type Inproceedings
2024
| , and , A comparative study of deep convolutional neural networks for the analysis of retinal damage in optical coherence tomography, in: Imaging Informatics for Healthcare, Research, and Applications, 2024 |
[DOI] |
| , , , , , , , and , A full pipeline to analyze lung histopathology images, in: Digital and Computational Pathology, SPIE Medical Imaging, 2024 |
[DOI] |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024, ECIR 2024, 2024 |
[DOI] |
| , , , , , , , , , , and , Automated classification of celiac disease in histopathological images: a multi-scale approach, in: Computer-Aided Diagnosis, SPIE Medical Imaging, 2024 |
[DOI] |
| , , , , , , , , , and , Comparing Stability and Discriminatory Power of Handcrafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study, in: 12th IEEE European Workshop on Visual Information Processing, pages 62-66, 2024 |
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| , , , , , , , and , Influence of CT Scanners on Radiomics Features in Abdominal CT: A Multicenter Phantom Study, in: European Congress of Radiology, 2024 |
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| , , , , , , , , , , , , , , , , , , , , , , and , LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification, ECIR 2024, 2024 |
| , , , , , , , , , , , and , Overview of ImageCLEFmedical 2024 - Caption Prediction and Concept Detection, in: Conference and Labs of the Evaluation Forum, 2024 |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Overview of the 2024 ImageCLEFmedical GANs Task – Investigating Generative Models’ Impact on Biomedical Synthetic Images, SpringerLink, 2024 |
| , , , , , , , , and , Structured radiology report text analysis using natural language processing for automatic billing, in: Image Perception, Observer Performance, and Technology Assessment, 2024 |
[DOI] |
| , , and , The CLEF 2024 Monster Track: One Lab to Rule Them All, in: Lecture Notes in Computer Science , 2024 |
2023
| , , , , , , , and , A dexterous hand prosthesis based on additive manufacturing, in: Proceedings of the Congress of the National Group of Bioengineering (GNB), Patron, 2023 |
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| , , , , and , A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma, in: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), IEEE, pages 1--5, 2023 |
| , , , and , Artifact Augmentation for Learning-based Quality Control of Whole Slide Images, in: EMBC, Sydney, Australia, 2023 |
| , , and , Disentangling Neuron Representations with Concept Vectors, in: Proceedings of the 2nd Explainable AI for Computer Vision (XAI4CV) Workshop at CVPR 2023, 2023 |
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| , , , , , , , and , 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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| , , and , 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, pages 1776–1782, Association for Computational Linguistics, 2023 |
[DOI] [URL] |
| , , , , , , , , , and , ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications, in: European Conference on Information Retrieval, Springer, pages 557--567, 2023 |
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| , , , , , and , LifeCLEF 2023 teaser: Species Identification and Prediction Challenges, in: ECIR 2023, Dublin, Ireland, 2023 |
| , , , , , , , and , Overview of ImageCLEFmedical 2023 – Caption Prediction and Concept Detection, in: CLEF working Notes, Thessaloniki, Greece, 2023 |
| , , , , , , , , , , , , , , , , , , , , and , Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi, in: CLEF 2023 proceedings, Thessaloniki, Greece, 2023 |
| , , , , and , Overview of the 2023 ImageCLEFmedical GANs Task: Investigating GANs’ Impact on Artificial Biomedical Image Generation, in: CLEF 2023 working notes, 2023 |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet, in: CLEF 2023 proceedings, Springer, Thessaloniki, Grece, 2023 |
| , , and , Review about explainable artificial intelligence in medical imaging, in: Eurosomii Meeting, Pisa, Italy, 2023 |
| , and , Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images, in: PCBBE, Lodz, Poland, 2023 |
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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 |