Schlagworte:
- https://publications.hevs.ch/index.php/keywords/single/197
- (Bio-) Medical Image Registration
- 2D-based 3D retrieval
- 3D information retrieval
- 3D Network
- 3D reconstruction
- 3D Segme
- 3D texture
- 3D U-Net Author Keywords Segmentation
- acceptance
- Active Learning
- adversarial learning
- air pollution
- algorithms
- Aneurist
- annotation
- Annotation Process
- Annotations
- anonymization
- Aorta segmentation
- AortaSeg24
- ARC
- Atlas
- Atlas-based segmentation
- Augmented reality
- Bag of visual words
- Bag-of-Colors
- Bayesian methods
- benchmark
- Benchmark testing
- Benchmarking
- big data
- Biodiversity Machine Learning AI Species Individual Identification Prediction Species Distribution Modeling
- biological organs
- Biological tissue
- biomedical MRI
- CAD
- case-based retrieval
- CFD
- Challenge Participants
- citation screening
- Classification
- clinical data
- clinical data access
- clinical data analysis
- Clinical decision support
- clinical information system
- clinical workflows
- Common Benchmark
- communication protocol
- complex systems
- component-level evaluation
- compound figure separation
- Computed Tomography Angiography
- computed tomography MeSH Terms Cone-Beam Computed Tomography
- computer tomography
- computer vision
- computer-aided diagnosis
- computerised tomography
- computing infrastructures
- concept vectors
- Cone Beam Computed Tomography Deep Learning Image Segmentation ToothFairy
- Cone-beam Computed Tomography Images
- Cone-beam Computed Tomography Volume
- Content-based image retrieval
- content–based search
- corpus
- crowdsourcing
- CT images
- Cultural heritage
- curriculum learning
- Data Augmentation
- Data Challenges
- Data Challenges · (Bio-) Medical Image Registration
- data mining
- datamining imaging indexing ontology radiology
- Deep convolutional neural network
- Deep Learning
- Deep Neural Network
- Desktop Grid
- detection
- Diagnostic aid
- Dice Loss
- Dice Similarity Coefficient
- DICOM
- DiffusionModel
- Digital hospital
- digital pathology
- Discrete wavelet transform
- distributed computing
- Domain Dataset
- Dossier Patient
- EEE Keywords Three-dimensional displays
- efficient access
- eHealth
- Epilepsy
- ethics
- evaluation
- evaluation framework
- experimental evaluation
- Explainable AI
- explainable AI (XAI)
- eye fundus images
- feature extraction
- feature reuse
- Final Ranking
- finetuning
- Flickr.
- Focal Loss
- fracture retrieval
- Fuse-MyCells
- future internet
- Generative Adversarial Networks
- generative models
- 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
- Humans
- image acquisition
- image analysis
- image browsing
- Image Captioning
- image categorization
- image classif
- image classification
- Image databases
- Image management
- image processing
- Image registration
- image retrieval
- image retrieval evaluation
- image segmentation
- image storage
- Image Understanding
- Image-to-Image
- ImageCLEF
- ImageCLEF benchmark
- ImageCLEF benchmarking lab
- Imaging
- Inferior Alveolar Canal
- Inferior Alveolar Nerve
- 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
- Intersection Over Union
- interstitial lung diseases
- inverted file
- Irrigation
- key dimension
- Knowledge Injection
- language modelling
- large language model
- Large Language Models
- Lesion detection
- Lesion segmentation
- Lightsheet Microscopy
- literature
- log file analysis
- lung
- Lung graph model
- Lung image
- Lung image analysis
- Lung image retrieval
- lung segmentation
- lung tissue classification
- machine learning
- management
- Mandible
- Mandibular Canal
- MapReduce
- MediaEval benchmark
- Medical
- Medical computer vision
- Medical Experts
- medical image analysis
- Medical image analysis and retrieval
- medical image processing
- Medical image processing Medical image caption analysis Medical concept prediction Visual question answering Generative Adversarial Networks Synthetic Data Generation Image Segmentation Pictogram communication Multilingual Image Retrieval ImageCLEF
- Medical image retrieval
- medical image search
- medical imaging
- Medical informatics
- Medical information retrieval
- medical information search
- medical search system
- medical synthetic data
- Medical Visual Question Answering
- Mental Foramen
- MeSH
- mobile devices
- mobile information retrieval
- morphometric features
- MRI
- MRML
- multi-atlas based segmentation
- Multi-label classification
- multi-task learning
- multidimensional image data analysis
- multilingual
- multimedia content analysis
- multimedia library
- multimodal
- Multimodal information retrieval and information fusion
- Multimodal Learning
- multimodal retrieval
- Multiple sclerosis
- Multiview Fusion
- Natural Language Processing
- Naturalistic studies
- negative relevance feedback
- Neural Network
- nosocomial infection
- Open access
- organ segmentation
- Panoramic Radiographs
- Pattern Recognition
- performance evaluation
- pervasive computing
- pollutants dispersion
- precision
- Privacy
- Private Dataset
- Proposals Index Terms Inferior Alveolar
- Prototype evaluation
- Public Datasets
- Pulmonary embolism
- Pulmonary hypertension
- query drift
- query modification
- query-adaptive fusion
- Radiology
- Radiology Report Generation
- 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
- Sparse Labeling
- speed evaluation
- Statistical Shape Model
- study design
- support vector machines
- Surgery
- Systematic Review
- systematic reviews
- Systèmes d’Information
- Systems
- target testing
- Taverna
- Teeth
- Telemedicine
- teleradiology
- terminology
- test collection
- test collection creation including signals and images
- text retrieval
- texture analysis
- texture classification
- Three-Dimensional
- tooth
- topic creation
- training
- Training Data
- Training Set
- 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
- X-ray imaging
- Yearbook
Publikationen von Henning Müller sortiert nach erstem Autor
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| , und , Mobile image upload for radiology, in: Studies in Health Technology and Informatics, Copenhagen, Denmark, Seiten 1003, 2013 |
[DOI] |
| , , , , und , Medical Image Analysis on GridFactory Desktop Grid, in: HealthGrid 2009, Seiten 13-21, 2009 |
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, , , und , 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
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| , , und , Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content, in: MICCAI 2018 - Computational Pathology Workshop (COMPAY), Granada, Spain, 2018 |
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| , , , , , , und , Identification and retrieval of prostate cancer cases using a content-based search tool (2019), in: Pathology Informatics |
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| , , , , , , , und , 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, Seiten 581-588, Springer International Publishing, 2015 |
[DOI] |
| , und , Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images, in: MICCAI workshop LABELS, Springer, 2017 |
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| , , , , und , A systematic comparison of deep learning strategies for weakly supervised Gleason grading,, in: SPIE Medical Imaging, Houstonm, TX, USA, 2020 |
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| , , und , Semi-Weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks, in: MICCAI workshop Labels, Lima, Peru, 2020 |
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| , , und , Combining weak and strong supervised learning improves strong supervision in Gleason pattern classification (2021), in: BMC Medical Imaging |
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| , , , , , , und , stainlib: a python library for augmentation and normalization of histopathology H&E images (2022), in: bioArXiv |
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| , , , , und , Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018 |
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| , , , und , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv |
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| , , und , Variability of Muscle Synergies in Hand Grasps: Analysis of Intra-and Inter-Session Data (2020), in: Sensors, 20:15(4297) |
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| , , , und , An Augmented Reality Environment to Provide Visual Feedback to Amputees during sEMG Data Acquisitions, in: TAROS (Towards Autonomous Robotic Systems), London, United Kingdom, 2019 |
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| , , , , und , Analysis of the repeatability of grasp recognition for hand robotic prosthesis control based on sEMG data, in: IEEE International Conference on Rehabilitation Robotics, London, UK,, 2017 |
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| , und , Exploiting Health Related Features to Infer User Expertise in the Medical Domain, in: Web Search and Data Mining workshop, New York City, NY, USA, 2014 |
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, , und , How Users Search and What They Search for in the Medical Domain – Understanding Laypeople and Experts Through Query Logs (2016), in: Journal of Information Retrieval
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[DOI] |
| , , , , und , Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task, in: CLEF working notes, 2021 |
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| , , und , 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 |
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| , , und , Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding, in: CLEF working notes, CEUR, 2020 |
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| , , und , Overview of the ImageCLEFmed 2019 Concept Detection Task, in: CLEF working notes, 2019 |
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| , , , und , Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation, in: OMIA at MICCAI, Granada, Spain, 2018 |
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| , , und , 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 |
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, , , , , und , Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography (2019), in: Computer Methods and Programs in Biomedicine
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| , , , , , , und , Accessing Multilingual Information Repositories, Springer, 2006 |
| , , , , , , und , Editorial, in: CLEF 2007 Proceedings, Springer, 2008 |
, , , , , und , Multilingual Information Access Vol. II Multimedia Experiments (2010), in: Lecture Notes in Computer Science, 6242
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[URL] |
| , , und , IRMA-Code II: A new concept for classification of medical images, in: Bildverarbeitung in der Medizin (BVM2012), Berlin, Germany, Seiten 440-445, Springer, 2012 |
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| , , und , IRMA Code II: A New Concept for Classification of Medical Images, in: Medical Informatics Europe, Pisa, Italy, 2012 |
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| , , und , Using the Grid for Enhancing the Performance of a Medical Image Search Engine, in: 21th IEEE Symposium on Computer-Based Medical Systems (CBMS), Seiten 367-372, 2008 |
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| , , , , und , How Grids are Perceived in Healthcare and the Public Service Sector, in: Global HealthGrid: e-Science Meets Biomedical Informatics - Proceedings of HealthGrid 2008, Seiten 61-69, 2008 |
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, , , , und , Comparison of Six Electromyography Acquisition Setups on Hand Movement Classification Tasks (2017), in: Plos One
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| , , , , , , , , , , und , Automated classification of celiac disease in histopathological images: a multi-scale approach, in: Computer-Aided Diagnosis, SPIE Medical Imaging, 2024 |
[DOI] |
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| , , , , , , , , , , , , , , , , , und , AneurIST - Towards a System Architecture for Advanced Disease Management through Integration of Heterogeneous Data, Computing, and Complex Processing Services, in: 21th IEEE Symposium on Computer-Based Medical Systems (CBMS), Seiten 361-366, 2008 |
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| , , , , , , und , Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest, in: ICPR 2018 Proceedings, 2018 |
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| , und , Large language model-based information extraction from free-text radiology reports: a scoping review protocol (2023), in: BMJ journals |
[DOI] |
| , und , A scoping review of large language model based approaches for information extraction from radiology reports (2024), in: NPJ Digital Medicine |
[DOI] |
| , , , , , , , , , , , , , , , , , , , , und , How to exploit weaknesses in biomedical challenge design and organization, in: MICCAI 2018, Granada, Spain, Springer, 2018 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und , Common limitations of performance metrics in biomedical image analysis, in: MIDLconference, 2021 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und , How can we do better? Pitfalls in biomedical challenge design and how to address them, in: MICCAI workshop LABELS, 2018 |
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| , , , , , , , , , und , BIAS: Transparent reporting of biomedical image analysis challenges (2020), in: Medical Image Analysis |
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| , und , Metrics Reloaded - A new recommendation framework for biomedical image analysis validation, in: MIDL Conference, 2022 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und , Understanding metric-related pitfalls in image analysis validation (2024), in: Nature Method |
[DOI] |
| , , , , , und , Automatic prediction of capillarity patterns on Optical Coherence Tomography Angiography images, in: ARVO Annual meeting, Honolulu, HI, USA, 2018 |
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| , , , und , MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7, in: SemEval, London, UK, 2014 |
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| , , , und , SubDiv17: A Dataset for Investigating Subjectivity in the Visual Diversification of Image Search Results, in: Proceedings of Multimedia Systems 2018, 2018 |
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| , , , , und , Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CT, in: Radiology: Cardiothoracic Imaging, 2020 |
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| , , , , und , Digital Imagery Teaching Files: A Necessary Extension to PACS for an academic Radiology Department, in: Proceedings of the annual congress of the Swiss society of radiology, 2003 |
| , , , , und , Casimage Project - A digital teaching files authoring environment (2004), in: Journal of Thoracic Imaging, 19:2(1-6) |
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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 | 851-879 |