Keywords:
- https://publications.hevs.ch/index.php/keywords/single/197
- (Bio-) Medical Image Registration
- 3D Network
- 3D Segme
- 3D U-Net Author Keywords Segmentation
- 3D-color-grayscale conversion
- Active Learning
- adversarial learning
- algorithms
- Annotation Process
- Annotations
- Aorta segmentation
- AortaSeg24
- Automatic weak labels
- Benchmark testing
- Biodiversity Machine Learning AI Species Individual Identification Prediction Species Distribution Modeling
- Biological signal acquisition
- BLS
- Brain
- Challenge Participants
- Chopped carbon fiber
- citation screening
- Classification
- Clinical decision support
- Common Benchmark
- Computed Tomography Angiography
- computed tomography MeSH Terms Cone-Beam Computed Tomography
- computer vision
- Cone Beam Computed Tomography Deep Learning Image Segmentation ToothFairy
- Cone-beam Computed Tomography Images
- Cone-beam Computed Tomography Volume
- Cortical lesions
- Data Augmentation
- Data Challenges
- Data Challenges · (Bio-) Medical Image Registration
- Deep Learning
- Deep Neural Network
- detection
- Dice Loss
- Dice Similarity Coefficient
- DiffusionModel
- digital pathology
- Domain Dataset
- EEE Keywords Three-dimensional displays
- Electromagnetic interference shielding
- Explainable AI
- explainable AI (XAI)
- Final Ranking
- Flexible sensor
- Focal Loss
- Fuse-MyCells
- Generative Adversarial Networks
- generative models
- Histopathology
- Histopathology image classification
- human-machine interaction
- Humans
- Image Captioning
- image retrieval
- image segmentation
- Image Understanding
- Image-to-Image
- ImageCLEF
- ImageCLEF benchmarking lab
- Imaging
- Inferior Alveolar Canal
- Inferior Alveolar Nerve
- Information extraction
- interpretability
- Intersection Over Union
- Irrigation
- Knowledge Injection
- large language model
- Large Language Models
- Lightsheet Microscopy
- Lung graph model
- machine learning
- Magnetic resonance imaging
- Mandible
- Mandibular Canal
- Medical Experts
- 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 imaging
- medical synthetic data
- Medical Visual Question Answering
- Mental Foramen
- MOT
- Multi-label classification
- multi-task learning
- Multimodal Learning
- Multiple sclerosis
- Multiview Fusion
- Natural Language Processing
- Neural Network
- Noisy labels
- Panoramic Radiographs
- Private Dataset
- Proposals Index Terms Inferior Alveolar
- Public Datasets
- Pulmonary embolism
- Pulmonary hypertension
- Radiology
- Radiology Report Generation
- retrospective matching network
- Scanning electron microscopy
- segmentation
- SEMG
- semi-supervised learning
- Sparse Labeling
- Statistical Shape Model
- Surgery
- Systematic Review
- systematic reviews
- Teeth
- texture analysis
- Three-Dimensional
- tooth
- training
- Training Data
- Training Set
- Trustworthy AI
- UAV
- whole slide imaging
- wrong labels
- X-ray imaging
Publications of Henning Müller sorted by title
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| , , , and , EEG-To-fMRI Cross-Modal Prediction via Hierarchical Temporal Attention Network: Toward Accessible Functional Neuroimaging (2026), in: Concurrency and Computation: Practice and Experience, 38:14(e70860) |
| , , , and , Effect of movement type on the classification of electromyography data for the control of dexterous prosthetic hands, in: Biorob, International Conference on Biomedical Robotics & Biomechatronics, New York City, NY, USA, 2020 |
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| , , , , , , , , and , Effects of hand amputation surgery procedures on phantom limb sensation, in: FESSH, Berlin, Germany, 2019 |
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| , , , , , , , , and , Effects of hand amputation surgery procedures on sEMG activity to control robotic hand prostheses, in: FESSH, Berlin, Germany, 2019 |
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| , , , and , End-to-end Fine-grained Neural Entity Recognition of Patients, Interventions, and Outcomes, in: CLEF proceedings, 2021 |
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| , , and , Evaluation and Comparison of CNN Visual Explanations for Histopathology, in: XAI-AAAI-21, 2021 |
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| , and , Experiences from the ImageCLEF Medical Retrieval and Annotation Tasks, Springer, 2019 |
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| , , , , , , , and , Experimental IR Meets Multilinguality, Multimodality, and Interaction, Springer, LNCS, 2019 |
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| , , , , , , , , , , , , , , , and , Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors, 2025 |
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| , , , and , Exploiting the PubMed Central repository to mine out a large multimodal dataset of rare cancer studies, in: SPIE Medical Imaging, Houston, TX, USA, 2020 |
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| , , and , Exploring environmental sustainability of artificial intelligence in radiology: A scoping review (2025), in: European Journal of Radiology |
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| , , , , , , , and , Exploring environmental sustainability of artificial intelligence in radiology: A scoping review (2026), in: European Journal of Radiology, Volume 194 |
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| , , and , Eye-hand coordination to improve grasp-type recognition in hand prostheses, in: Cybathlon Symposium, Zürich, Switzerland, 2020 |
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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 , Gaze, behavioral, and clinical data for phantom limbs after hand amputation from 15 amputees and 29 controls (2020), in: Scientific Data, 7:1(1--14) |
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| , , , , , , , , , , , , and , Gaze, visual,myoelectric data of grasps for intelligent prosthetics (2020), in: Nature Scientific Data |
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| , , and , Generalizing Convolution Neural Networks on Stain Color Heterogeneous Data for Computational Pathology, in: SPIE Medical Imaging, Houston, TX, USA,, 2020 |
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| , , and , Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning, arxiv, 2020 |
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| , , , and , H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression, in: ICCV 2021 workshop on Computational Challenges in Digital Pathology, 2021 |
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| , , , , , , , , , , , , , , , , , , , , , , and , Heterogeneous exascale computing, in: INES 2018 conference, Springer, 2019 |
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| , , , , , , and , Identification and retrieval of prostate cancer cases using a content-based search tool (2019), in: Pathology Informatics |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature and Security Applications, in: CLEF conference Proceedings, Lugano, Switzerland, Springer LNCS, 2019 |
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| , , , , , , , , , , , , , , , , , , , , , , , , and , ImageCLEF 2019: Multimedia Retrieval in Medical Nature, Security and Lifelogging Applications, in: ECIR 2019, Cologne, Germany, 2019 |
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| , and , ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications, in: ECIR 2020, Lisbon Portugal, Springer LNCS, 2020, 2020 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , and , ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media, in: CLEF proceedings, Springer, 2021 |
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| , , , , , , , , , and , Imageclef 2026: Multimodal challenges in medicine, science, agritech, and security, in: European Conference on Information Retrieval, Springer, pages 336--344, 2026 |
| , , , , , , , , , , , 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 , 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 , Improving sEMG signals recognition accuracy using 3D compression and broad learning system (2025), in: SIGNAL, IMAGE AND VIDEO PROCESSING, 19:13 |
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| , , , , and , Information Fusion for Medical Data: early, late and deep fusion methods for multimodal data (2020), in: Journal of Biomedical and Health informatics |
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| , , , , , and , Interpretable AI for medical image analysis (2025), in: The MICCAI Society book Series 2025, Chapter 15(315-346) |
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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 , Interpreting intentionally flawed models with linear probes, in: ICCV workshop on statistical deep learning in computer vision, Seoul, Korea, 2019 |
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| and , InvNet: A Deep Learning Approach to Invert Complex Deformation Fields, in: ISBI, Nice, France, 2021 |
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| and , KI-gestütztes Videomonitoring aquatischer Ökosysteme - Chancen, Grenzen und Praxisanforderungen (2025), in: Springer Pfofessional, Wasser Wirtschaft, 115(54-61) |
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| , , , , and , Kinematic synergies of hand grasps, in: ESB 2019, Vienna, Austria, 2019 |
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| , , and , Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset (2019), in: Journal of Neuroengineering and rehabilitation |
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| , , , , , , , , and , Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges (2025), in: Melba, Volume 3(775-791) |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges (2025), in: Hansen et al. 2025 / Melba Journal - Machine Learning for Biomedical Imaging, Volume 3 |
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| , and , Learning Cross-Protocol Radiomics and Deep Feature Standardization from CT Images of Texture Phantoms, in: SPIE Medical Imaging 2019, International Society for Optics and Photonics, pages 109-116, SPIE, 2019 |
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| and , Learning-Based Affine Registration of Histological Images, in: International Workshop on Biomedical Image Registration, Springer, pages 12--22, 2020 |
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| , , , , , , , and , LifeCLEF 2019: Biodiversity Identification and Prediction Challenges, in: ECIR 2019, Cologne, Germany, 2019 |
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| , , , , , , , , , , , , , , and , LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges, in: ECIR 2020, Lisbon, Portugal, Springer LNCS, 2020 |
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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 , LLM-Enhanced Information Mining for Medical Visual Question Answering, Workshop on Large Language Model Using Multi-modal Data for User Modeling, Sydney, Australia, 2025. (2025), in: WWW '25: The ACM Web Conference 2025(2297-2305) |
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| and , Lung Graph-Model Classification with SVM and CNN for Tuberculosis Severity Assessment and Automatic CT Report Generation, in: CLEF working notes 2019, Lugano Switzerland, 2019 |
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| , , and , Machine Learning Assisted Citation Screening for Systematic Reviews, in: Medical Informatics Europe 2020, Geneva, Switzerland, 2020 |
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| , , , , , , , and , Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods (2021), in: Journal of Personalized Medicine, 11:9 |
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| , Medical Image Retrieval: Applications and Resources, in: International Conference on Multimedia Retrieval, 2020 |
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| and , Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge (2025), in: Arxiv |
[DOI] |