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 |
W
| , , and , Gesture interaction for content--based medical image retrieval, in: ACM ICMR, Glasgow, UK, 2014 |
|
| , , and , Facilitating Medical Information Search using Google Glass connected to a Content-based Medical Image Retrieval System, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, 2014 |
|
| , and , Plateforme d'Aide aux Ambulanciers, in: 28eme Conférence Francophone sur l'Interaction Homme-Machine, Fribourg, Switzerland, pages 2, 2016 |
|
| , , , , , , , , , , , , , and , VISCERAL-VISual Concept Extraction challenge in RAdioLogy: Organsegmentierung: Übersicht, Einblicke und erste Ergebnisse, in: Deutscher Röntgenkongress, Hamburg, Germany, 2015 |
|
| , , , , and , Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, pages 1758--1761, 2020 |
|
| , , , , and , Training a deep neural network for small and highly heterogeneous MRID datasets for cancer grading, in: EMBC Conference, IEEE, 2020 |
|
| , , , and , Unsupervised Deep Network for Large Deformations followed by Instance Optimization and Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge, in: MICCAI BrainLes workshop, 2022 |
|
| , , and , RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge (2024), in: Computer Methods and Programs in Biomedicine |
[DOI] |
| and , Patch-Based Encoder-Decoder Architecture for Automatic Transmitted Light to Fluorescence Imaging Transition: Contribution to the LightMyCells Challenge (2024), in: (pre-print) |
[DOI] |
and , DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples (2021), in: Computer Methods and Programs in Biomedicine
|
|
| and , InvNet: A Deep Learning Approach to Invert Complex Deformation Fields, in: ISBI, Nice, France, 2021 |
|
| and , Learning-Based Affine Registration of Histological Images, in: International Workshop on Biomedical Image Registration, Springer, pages 12--22, 2020 |
|
| and , Unsupervised Learning-based non-rigid registration of high resolution histology images, in: MICCAI workshop on Machine Learning in Medical Imaging, Springer, 2020 |
|
X
| , , , and , A novel content-based medical image retrieval method based on query topic dependent image features (QTDIF), in: Medical Imaging 2005: PACS and Imaging Informatics., pages 123-133, 2005 |
[DOI] |
Z
| , , , and , Retrieving Diverse Social Images at MediaEval 2017: Challenges, Dataset and Evaluation, in: Working Notes of MultimediaEval, 2017 |
|
, and , Late Fusion of Deep Learning and Handcrafted Visual Features for Biomedical Image Modality Classification, in: IET Image Processing, 2018
|
|
| and , Medical x-ray image classification and retrieval system, in: Pacific Asia Conference on Information Systems (PACIS 2016), Chiayi, Taiwan, 2016 |
|
| and , Automatic Detection of Biomedical Compound Figure using Bag of Words, in: 4th International Conference on Image Processing, Production and Computer Science (ICIPCS'16), Phuket, Thailand, 2016 |
|
| , , , and , Text- and content-based medical image retrievals in the VISCERAL retrieval benchmark, Springer, 2017 |
|
, , , and , USYD/HES-SO in the VISCERAL Retrieval Benchmark, in: ECIR workshop on Multimodal Retrieval in the Medical Domain, Vienna, Austria, Springer Lecture Notes in Computer Science (LNCS), 2015
|
|
| , , , , and , Evaluation of methods for the extraction spatial muscle synergies (2022), in: Frontiers in neuroscience |
|
| , , , , and , Evaluation of methods for the extraction spatial muscle synergies, in: Frontiers in Neuroscience(763) |
, and , Large-scale Retrieval for Medical Image Analytics: A Comprehensive Review (2018), in: Medical Image Analysis
|
|
| , and , Survey on Grid Knowledge in administrations, in: HealthGrid 2010, Paris, France, pages 3-13, IOS Press, 2010 |
|
| , and , Information Fusion for Combining Visual and Textual Image Retrieval, in: 20th IEEE International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, pages 1590--1593, 2010 |
|
, and , Hierarchical classification using a frequency-based weighting and simple visual features (2008), in: Pattern Recognition Letters, 29:15(2011-2017)
|
|
| , , , and , 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 |
|
| , , , and , Case-based Visual Retrieval of Fractures, in: Computer Assisted Radiology and Surgery (CARS) 2010, Geneva, Switzerland, 2010 |
|
| , and , The MedGIFT group at ImageCLEF 2009, in: Proceedings of CLEF 2010, pages 211-218, Springer, 2010 |
|
| , and , The participation of the MedGIFT Group at ImageCLEFmed 2010, in: CLEF working notes, 2010 |
|
| , and , The medGIFT group at ImageCLEF 2009, in: Working Notes of CLEF 2009 (Cross Language Evaluation Forum), 2009 |
|
, and , The MedGIFT group at ImageCLEF 2008, in: Springer Lecture Notes in Computer Science 5706, pages 712-718, 2009
|
|
| , and , MedGIFT at ImageCLEF 2008, in: Working Notes of the 2008 CLEF Workshop, 2008 |
|
| , , and , University and Hospitals of Geneva Participating at ImageCLEF 2007, in: CLEF 2007 Proceedings, pages 649-656, Springer, 2008 |
|
, , and , University and Hospitals of Geneva at ImageCLEF 2007, in: Working Notes of the 2007 CLEF Workshop, 2007
|
|
| , , , , and , An easy setup for Parallel medical Image Processing: Using Taverna and ARC, in: Proceedings of HealthGrid 2009, pages 41-50, 2009 |
|
| , , , and , Grid Computing Inside Hospitals using Virtualization Technology: A secure solution for heavy computing tasks, in: HUG Research Day 2009, 2009 |
|
| , , and , A Medical Image Retrieval Application Using Grid Technologies To Speed Up Feature Extraction in Medical Image Retrieval (2009), in: Philippine Journal of Information Technology |
|
| , , and , A Medical Image Retrieval Application Using Grid Technologies to Speed Up Feature Extraction, in: ICT4Health, 2008 |
|
| , and , Case-based fracture retrieval (2012), in: International Journal on Computer assisted Radiology and Surgery, 7:3(401-411) |
|
| , and , Multi-Scale Salient Point-Based Retrieval of Fracture Cases, in: SPIE Medical Imaging, Orlando, FL, USA, 2011 |
|
| , , , , , , , and , The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval, in: CLEF working notes, CEUR, 2016 |
|
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Standardized quantitative radiomics for high-throughput image-based phenotyping (2020), in: Radiology, 295:2(328-338)
|
|
| 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 |