Palavras-chave:
- 2D-based 3D retrieval
- 3D information retrieval
- 3D reconstruction
- 3D texture
- acceptance
- 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
- Classification
- clinical data
- clinical data access
- clinical data analysis
- 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
- Discrete wavelet transform
- distributed computing
- Dossier Patient
- efficient access
- eHealth
- Epilepsy
- ethics
- evaluation
- evaluation framework
- experimental evaluation
- 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
- 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 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
- 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
- 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
- Yearbook
Publications of Henning Müller sorted by first author
| 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 | 751-752 |
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| , , , and , MedIR14: Medical Information Retrieval Workshop, in: SIGIR Proceedings, Gold Coast, Australia, 2014 |
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| , , , and , Report on the SIGIR workshop on medical information retrieval (MedIR) (2014), in: SIGIR Forum |
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| , , , , , and , Creation of a New Evaluation Benchmark for Medical Information Retrieval Targeting Patient Information Needs, in: International Workshop on Evaluating Information Access (EVIA 2013), Tokyo, Japan, 2013 |
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| , , , , , , , and , ShARe\/CLEF eHealth Evaluation Lab 2013, Task 3: Information Retrieval to Address Patients' Questions when Reading Clinical Reports, in: CLEF 2013 working notes, Valencia, Spain, 2013 |
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| , , , , , , , and , ShARe/CLEF eHealth Evaluation Lab 2014, Task 3: User-centred health information retrieval, in: CLEF Proceedings, 2014 |
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| , , , , , , , , , , , , , , , , , and , Overview of the VISCERAL Challenge at ISBI 2015, in: VISCERAL Anatomy 3 proceedings, páginas 6-11, 2015 |
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| , , and , Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge, 2015 |
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| , and , Deep learning interpretability: measuring the relevance of clinical concepts in convolutional neural networks features, Elsevier, volume 157-192, 2023 |
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| , and , Deep Learning Interpretability: Measureing the relevance of clinical concepts in CNN features, in: State of the art in neural networks, Elsevier, 2022 |
| , and , Visualizing and interpreting feature reuse of pretrained CNNs for histopathology, in: IMVIP 2019, Dublin, Ireland, 2019 |
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, and , Regression Concept Vectors for Bidirectional Explanations in Histopathology (2018), in: Lecture Notes in Computer Science, Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2018(8)
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| , , , , , , , , , , , , , , and , A Global Taxonomy of Interpretable AI: Unifying the Terminology for the Technical and Social Sciences (2022), in: Artificial Intelligence Review, 56(3473–3504) |
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| , , , , and , Attention-based Interpretable Regression of Gene Expression in Histology, in: Proceedings of the The Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC) at MICCAI 2022, 2022 |
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| , , , and , Concept discovery and Dataset exploration with Singular Value Decomposition, ICLR Workshop on Trustworthy ML, 2023 |
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| , , , and , Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization (2023), in: Machine Learning for Biomedical Imaging (MELBA), 2 |
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and , Proceedings MCBR-CDS 2012, 2013
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, , and , Overview of the ImageCLEF 2007 Photographic Retrieval Task, in: CLEF 2007 Proceedings, páginas 433-444, Springer, 2008
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| , , and , Overview of the ImageCLEF 2007 Photographic Retrieval Task, in: Working Notes of the 2007 CLEF Workshop, 2007 |
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| , , and , The IAPR Benchmark: a new evaluation resource for visual information systems, in: International Workshop OntoImage 2006, páginas 13-23, 2006 |
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| , , , , , , , , , , , , , and , VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Segmentation challenge: overview, insights and preliminary results, in: ECR, Vienna, Austria, 2015 |
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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, páginas 1--5, 2023 |
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| , , and , KHRESMOI: Towards a Multi-Lingual Search and Access System for Biomedical Information, in: Med-e-Tel, Luxembourg, 2011, páginas 412-416, 2011 |
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| , , and , A Cloud-based Framework for Evaluation on Big Data, in: BIG workshop, Korea, 2014 |
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| and , VISCERAL: Evaluation-as-a-Service for Medical Imaging, VISCERAL book, Springer, 2017 |
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| and , Open Innovation in Data Science through Evaluation-as-a-Service, in: European Data Forum, Luxembourg, 2015 |
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| and , Khresmoi – multimodal multilingual medical information search, in: MIE village of the future, Pisa, Italy, 2012 |
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| and , Enterprise Search in Medical Data, in: Workshop on Search Computing, Brussels, Belgium, 2012, 2012 |
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| and , Searching Text and Images in the Medical Domain, in: Medical Informatics Europe, Pisa, Italy, 2012 |
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| and , A cloud based approach for benchmarking on private data, in: SIGIR workshop on Community IR Evaluation using Private Data Collections, Portland, OR, USA, 2012 |
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| and , KHRESMOI: Towards multilingual Health Information for Doctors and Patients, Evidence-based Telemedicine and eHealth in Southern Africa, in: ISfTeH conference, Cape Town, South Africa, 2011 |
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| and , Automated Component-Level Evaluation: Present and Future, in: CLEF 2010, Padova, Italy, páginas 124-135, 2010 |
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| and , Towards automated component--level evaluation, in: Proceeding of the SIGIR Workshop on new evaluation methodologies, 2009 |
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| and , Proceedings of the 2nd MUSCLE/ImageCLEF workshop on the evaluation of visual information retrieval, Vienna University Press, 2006 |
| and , Proceedings of the first international Workshop on Image and Video Retrieval Evaluation, Vienna University Press, 2005 |
| , , , , , , , , , , , , and , Evaluation-as-a-Service: Overview and Outlook (2015), in: ArXiv |
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, and , Editorial of the special issue on image and video retrieval evaluation (2010), in: Computer Vision and Image Understanding, 114:4(409-410)
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| , and , Proceedings of the third Workshop on Image and Video retrieval evaluation, Vienna University Press, 2007 |
| , and , VISCERAL book, Springer, 2017 |
| , , and , Cloud-based Evaluation Framework for Big Data, in: FIA book 2013, 2013 |
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| , , , , and , Bringing the algorithms to the data: cloud–based benchmarking for medical image analysis, in: CLEF conference, 2012 |
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| , , , , and , Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task, in: CLEF 2018 working notes, Avignon, France, CEUR, 2018 |
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| , , , , , and , Grid Data Management for Liquid Time Projection Chamber Data Analysis, in: EGI user forum, Vilnius, Lithuania, 2011 |
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| , , , and , ImageCLEFmed: Developing a Test Collection for Biomedical Image Retrieval, in: Workshop on SNF/EU cooperation projects, 2006 |
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| , , , and , 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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| , , , and , A qualitative task analysis for developing an image retrieval test collection, in: ImageCLEF/MUSCLE workshop on image retrieval evaluation, páginas 11-16, 2005 |
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| and , Image Retrieval in Medicine: The ImageCLEF Medical Image Retrieval Evaluation (2007), in: ASIST Bulletin, February/March |
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| , , and , Image Retrieval in Medicine: Motivations, Methods, and Results of the ImageCLEF medical image retrieval task, in: ISHIMR 2007, Sheffield, England, 2007 |
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| , , and , Task analysis for evaluating image retrieval systems in the ImageCLEF biomedical Image Retrieval Task, in: Slice of Life conference on Multimedia in Medical Education (SOL 2005), 2005 |
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, , , , and , Advancing Biomedical Image Retrieval: Development and Analysis of a Test Collection (2006), in: Journal of the American Medical Informatics Association, 13:5(488-496)
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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 | 751-752 |
