Palavras-chave:
- 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
- 3D-color-grayscale conversion
- acceptance
- Active Learning
- adversarial learning
- air pollution
- algorithms
- Aneurist
- annotation
- Annotation Process
- Annotations
- anonymization
- Aorta segmentation
- AortaSeg24
- ARC
- Atlas
- Atlas-based segmentation
- Augmented reality
- Automatic weak labels
- 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 signal acquisition
- Biological tissue
- biomedical MRI
- BLS
- Brain
- CAD
- case-based retrieval
- CFD
- Challenge Participants
- Chopped carbon fiber
- 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
- Cortical lesions
- 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
- Electromagnetic interference shielding
- Epilepsy
- ethics
- evaluation
- evaluation framework
- experimental evaluation
- Explainable AI
- explainable AI (XAI)
- eye fundus images
- feature extraction
- feature reuse
- Final Ranking
- finetuning
- Flexible sensor
- 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
- Histopathology image classification
- 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
- Magnetic resonance imaging
- 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
- MOT
- 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
- Noisy labels
- 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
- retrospective matching network
- Riesz
- Riesz transform
- risk of bias
- safe storage
- satisfaction
- scalability
- Scanning electron microscopy
- scientific data
- search
- search context
- Search Interfaces
- search pruning
- Security
- segmentation
- semantic search
- SEMG
- 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
- Trustworthy AI
- UAV
- 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
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 | 851-888 |
Journal of the American Society for Information Science
| , 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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Journal of the American Society for Information Science and Technology (JASIST)
| , , , and , Evaluating Image Browsers Using Structured Annotation (2001), in: Journal of the American Society for Information Science and Technology (JASIST), 52:11(961-968) |
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Journal of Thoracic Imaging
| , , , , and , Casimage Project - A digital teaching files authoring environment (2004), in: Journal of Thoracic Imaging, 19:2(1-6) |
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Le Nouvelliste
| and , L'informatique au service de la santé (2008), in: Le Nouvelliste |
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Lecture Notes in Computer Science
, 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 , Multilingual Information Access Vol. II Multimedia Experiments (2010), in: Lecture Notes in Computer Science, 6242
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Lecture Notes in Computer Science (LNCS)
, 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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Lecture Notes in Computer Science, vol 15576. Springer, Cham
| , , , , , , , , , , , , , , and , Challenges on Species Presence Prediction and Identification, and Individual Animal Identification, Springer Lecture Notes in Computer Science, Proceedings of CLEF 2025, Madrid, Spain, 2025. (2025), in: Lecture Notes in Computer Science, vol 15576. Springer, Cham, 15576(373-381) |
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Lecture Notes in Computer Science, vol 16089. Springer, Cham.
| , , , , , , , , , , , , , , , , , , , , , , , , , , and , Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications ECIR 2025 (2025), in: Lecture Notes in Computer Science, vol 16089. Springer, Cham., 16089(290-314) |
[DOI] [URL] |
Machine Learning for Biomedical Imaging (MELBA)
| , , , 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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Market/IBCom
| and , La recherche d’images en plusieurs dimensions (2011), in: Market/IBCom |
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MDPI Bioengineering
| and , Automated segmentation of pediatric neuroblastoma on multi-modal (2025), in: MDPI Bioengineering |
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MDPI Bioengineering, nov. 25
| , , , , , , , , , , , , , , , , , , , , , , , , , and , Automated segmentation of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023, MDPI Bioengineering, 2025 (2025), in: MDPI Bioengineering, nov. 25 |
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MDPI Diagostics
| , , , , , and , Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview (2024), in: MDPI Diagostics |
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Medical Image Analysis
| , , , , , and , A systematic comparison of deep learning methods for Gleason grading and scoring (2024), in: Medical Image Analysis |
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| , , , , , , , , , , , and , Multimodal Representations of Biomedical Knowledge from Limited Training Whole Slide Images and Reports using Deep Learning (2024), in: Medical Image Analysis |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue (2024), in: Medical Image Analysis |
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| , , and , Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: an experiment on histopathology image classification (2021), in: Medical Image Analysis |
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| , , , , , , , , , and , BIAS: Transparent reporting of biomedical image analysis challenges (2020), in: Medical Image Analysis |
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, , and , Fusing Learned Representations from Riesz and Deep CNNs for Lung Tissue Classification (2019), in: Medical Image Analysis, 56(172-183)
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, and , Large-scale Retrieval for Medical Image Analytics: A Comprehensive Review (2018), in: Medical Image Analysis
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, , and , Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities (2014), in: Medical Image Analysis, 18:1(176-196)
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Medical Informatics Europe 2024
| , , and , An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond (2024), in: Medical Informatics Europe 2024(1664 - 1668) |
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Medical Physics
| , , , , , , , , , , , and , Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multi-centric anthropomorphic phantom study (2026), in: Medical Physics, 53:3(e70374) |
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, , , , , , , and , 3D-Printed Iodine-Ink CT Phantom for Radiomics Feature Extraction - Advantages and Challenges (2023), in: Medical Physics, 50:9(5682-5697)
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MedInfo 2004
| , , , and , User acceptance of clinical information systems: A methodological approach to identify the key dimensions allowing a reliable evaluation framework (2004), in: MedInfo 2004, 11:2(1038-1042) |
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Melba
| , , , , , , , , and , Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges (2025), in: Melba, Volume 3(775-791) |
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Methods of Information in Medicine
| , and , Methods special topic section, introduction to medical information retrieval (2012), in: Methods of Information in Medicine, 51:6(516-518) |
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and , Medical Multimedia Retrieval 2.0 (2008), in: Methods of Information in Medicine, 3:supplement 1(55-63)
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, Sensors, Signals, and Images in Medical Informatics: Progress and Evaluation (2008), in: Methods of Information in Medicine, 3:supplement 1(64-66)
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| , and , Assessment of Internet-based Telemedicine in Western Africa (The RAFT project) (2007), in: Methods of Information in Medicine(21) |
Methods of Information in Medicine - Yearbook of medical informatics
| , Sensors, Signals, and Images in Medical Informatics: Progress and Evaluation Findings from the Yearbook 2008 Section on Sensors, Signals, and Imaging Informatics (2008), in: Methods of Information in Medicine - Yearbook of medical informatics |
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Multimedia Tools and Applications
, , and , Result Diversification in Social Image Retrieval: A Benchmarking Framework (2016), in: Multimedia Tools and Applications, 75:2(1301-1331)
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, and , Retrieval of high-dimensional visual data: current state, trends and challenges ahead (2014), in: Multimedia Tools and Applications, 69:2(539-567)
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Nature Communications
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Why rankings of biomedical image analysis competitions should be interpreted with care (2018), in: Nature Communications
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Nature Method
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Understanding metric-related pitfalls in image analysis validation (2024), in: Nature Method |
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Nature Methods
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Metrics reloaded: recommendations for image analysis validation (2024), in: Nature Methods |
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Nature Partner Journal on Digital Medicine
| , , , , , , , , , , , , , , , , , , and , Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations (2022), in: Nature Partner Journal on Digital Medicine |
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Nature Scientific Data
| , , , , , , , , , , , and , ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset (2024), in: Nature Scientific Data |
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| , , , , and , VIDIMU. Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (2023), in: Nature Scientific Data |
| , , , , , , , , , , , , and , Gaze, visual,myoelectric data of grasps for intelligent prosthetics (2020), in: Nature Scientific Data |
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Nature Scientific Reports
, , , , and , The Importance of Feature Aggregation in Radiomics: A Head and Neck Cancer Study (2020), in: Nature Scientific Reports, 10:19679
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, , , , , and , Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness (2019), in: Nature Scientific Reports, 9:1(4500)
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NEJM AI
| , , , , , , , , , , and , The TopCoW Challenge—Topology-Aware Circle of Willis Segmentation for CT and MR Angiography (2026), in: NEJM AI, 3:8(AIdbp2500994) |
NeuroImage: Clinical
| , , , , , , , , , , , , , , , , , , and , A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis (2026), in: NeuroImage: Clinical, 50(104007) |
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, , , , , , and , How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review (2023), in: NeuroImage: Clinical, 39(103491)
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Neuroscience
| , , , and , Spatial and temporal muscle synergies provide a dual characterization of low-dimensional and intermittent control of upper-limb movements (2023), in: Neuroscience, 514(100--122) |
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NPJ Digital Medicine
| , and , A scoping review of large language model based approaches for information extraction from radiology reports (2024), in: NPJ Digital Medicine |
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Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images
| , , , and , Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images (2024), in: Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images |
| 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 | 851-888 |