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 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 | 751-800 | 801-850 | 851-851 |
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| , , , and , Crowdsourcing for Medical Image Classification, 2014 |
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| , and , Medical case-based retrieval: integrating query MeSH terms for query-adaptive multi-modal fusion, in: SPIE Medical Imaging, 2015 |
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, , and , 2D-Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions, in: Medical Computer Vision. Large Data in Medical Imaging, MICCAI, Nagoya, Japan, pages 185-195, Springer International Publishing, 2014
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| , , , , , , , , , , , , , , , , , , , , , , and , ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications, in: European Conference on Information Retrieval, Springer, pages 382--389, 2022 |
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| , , , and , Overview of the ImageCLEF 2013 medical tasks, in: CLEF working notes 2013, Valencia, Spain, 2013 |
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| , , and , The medGIFT Group in ImageCLEFmed 2012, in: CLEF working notes, 2012 |
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| , , , , and , Semi–Supervised Learning for Image Modality Classification, in: ECIR workshop MRMD, Vienna, Austria, 2015 |
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| , and , Bag-of-Colors for Biomedical Document Image Classification, in: MICCAI workshop MCBR-CDS, Nice, France, pages 110-121, 2013 |
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| , , , and , The medGIFT Group in ImageCLEFmed 2013, in: CLEF working Notes 2013, Valencia, Spain, 2013 |
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| and , Fusion Techniques in Biomedical Information Retrieval, Springer, 2014 |
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| , and , Overview of the ImageCLEF 2015 medical classification task, in: Working Notes of CLEF 2015 – Cross Language Evaluation Forum, CEUR, 2015 |
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| , , and , Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation, in: MICCAI workshop Labels, Springer, 2016 |
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| , , and , Overview of the ImageCLEF 2016 Medical Task, in: CLEF working notes 2016, CEUR, 2016 |
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, , and , Comparing Fusion Techniques for the ImageCLEF 2013 Medical Case Retrieval Task (2015), in: Computerized Medical Imaging and Graphics, 39(46–54)
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| , and , Shangri-La: a medical case-based retrieval tool (2017), in: Journal of the American Society for Information Science, 68:11(2587–2601) |
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, and , Shangri-La: a medical case-based retrieval tool (2016), in: Journal of the American Society for Information Science
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, and , Learning a frequency-based weighting for medical image classification (2008), in: Lecture Notes in Computer Science (LNCS), 4987(99-108)
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| , and , Learning a frequency-based weighting for medical image classification, in: Medical Imaging and Medical Informatics (MIMI) 2007, pages 137-147, 2007 |
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, , , and , Measuring Movement Classification Performance with the Movement Error Rate (2014), in: IEEE Transactions on neural systems and rehabiliation engineering
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| , , , , , , , , , , , and , Megane Pro: myo-electricity, visual and gaze tracking integration as a resource for dexterous hand prosthetics, in: IEEE International Conference on Rehabilitation Robotics, London, UK, 2017 |
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| , , and , A comparison between ARC and gLite for medical image processing on Grids, in: MICCAI workshop on HealthGrids, pages 64--73, 2009 |
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| , , and , A comparison of ARC and gLite on medical imaging use cases, in: EGEE'09, 2009 |
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| , and , Translation by Text Categorization: Medical Image Retrieval in ImageCLEFmed 2006, in: CLEF 2006 Proceedings, pages 706-710, 2007 |
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, and , Query and Document Translation by Automatic Text Categorization: A Simple Approach to Establish a Strong Textual Baseline for ImageCLEFmed 2006, in: Working Notes of the 2006 CLEF Workshop, 2006
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| , , , , , and , Medicoordination: Regional implementation of the Swiss ehealth strategy, in: Proceedings of the IADIS Multi conference on Computer Science and Information Systems, 2009 |
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| , , , , , , , and , Large-scale Evaluation of Multimedia Analysis Techniques for Biodiversity inventories, in: Conference Proceedings: Association of Tropical Biology and Conservation, Merida, Mexico, 2017 |
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| , , , , , , , , , , and , LifeCLEF 2021 teaser: Biodiversity Identification and Prediction Challenges, in: European Conference on Information Retrieval, 2021 |
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| , , , , and , Report on the SIGIR 2016 Workshop on Medical Information Retrieval (MedIR), in: SIGIR Forum, pages 76-81, 2016 |
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| , , , , , , and , Supporting Collaborative Improvement of Resources in the Khresmoi Health Information System, in: LREC, Istanbul, Turkey, 2012 |
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, , , and , Medical Information Retrieval: Introduction to the Special Issue (2016), in: Journal of information retrieval
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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, pages 6-11, 2015 |
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| , , and , Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge, 2015 |
[URL] |
| , 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 , Improved interpretability for computer-aided severity assessment of retinopathy of prematurity, in: SPIE Medical Imaging, San Diego, CA, USA, 2019 |
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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 , Breast Histopathology with High-Performance Computing and Deep Learning (2020), in: Computer and Informatics |
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| , , and , Evaluation and Comparison of CNN Visual Explanations for Histopathology, in: XAI-AAAI-21, 2021 |
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| , , , and , On the Scale Invariance in State of the Art CNNs Trained on ImageNet (2021), in: Special Issue "Interpretable and Annotation-Efficient Learning for Medical Image Computing" in Machine Learning and Knowledge Extraction:3(374–391) |
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| , , , and , Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020, 2020 |
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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 attribution: Explaining CNN decisions to physicians (2020), in: Computers in Biology and Medicine |
[DOI] |
| , and , Interpreting intentionally flawed models with linear probes, in: ICCV workshop on statistical deep learning in computer vision, Seoul, Korea, 2019 |
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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 |