Palavras-chave:
- 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 , 3-D Image-to-Image Fusion in Lightsheet Microscopy by Two-Step Adversarial Network: Contribution to the Fusemycells Challenge (2025), in: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) |
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| , and , A comparative study of deep convolutional neural networks for the analysis of retinal damage in optical coherence tomography, in: Imaging Informatics for Healthcare, Research, and Applications, 2024 |
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| , , , , , , , , , , , , , , , , , , 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 , A full pipeline to analyze lung histopathology images, in: Digital and Computational Pathology, SPIE Medical Imaging, 2024 |
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| , , and , A Graph Model of the Lungs with Morphology-based Structure for Tuberculosis Type Classification, in: The 26th International Conference on Information Processing in Medical Imaging (IPMI), 2019 |
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, and , A large calibrated database of hand movements and grasp kinematics (2020), in: Scientific Data
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, , , , , and , A lung graph model for the radiological assessment of chronic thromboembolic pulmonary hypertension in CT (2020), in: Computers in Biology and Medicine(103962)
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| , , , and , A Ni/CCF@PDMS-based flexible and electromagnetic interference-shielding surface electromyography/electrooculography sensor (2026), in: SENSORS AND ACTUATORS. A, PHYSICAL, 400(117530--117530) |
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, , , , and , A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
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| , , , , and , A systematic comparison of deep learning strategies for weakly supervised Gleason grading,, in: SPIE Medical Imaging, Houstonm, TX, USA, 2020 |
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| , and , An Adaptive Attention-Driven Quadruplet Deep Hashing Method for Retrieving Histopathological Images (2026), in: Journal of Imaging, 12:7(321) |
| , , , , , and , An AI-based algorithm for the automatic classification of thoracic radiographs in cats (2021), in: Frontiers in Veterinary science |
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| , , , and , 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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| , , , and , An End-to-End 3D ConvLSTM-based Framework for Early Diagnosis of Alzheimer's Disease from Full-Resolution Whole-Brain sMRI Scans, in: Computer-Based Medical Systems, 2021 |
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| , , , , , , and , An Exploration of Uncertainty Information for Segmentation Quality Assessment, in: SPIE Medical Imaging 2020: Image Processing, Houston, TX, USA, páginas 381-390, SPIE, 2020 |
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| , , , , , and , An overview of self-supervised deep learning applications to molecular data (2026), in: Briefings in Bioinformatics, 27:4(bbag380) |
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| , , , and , Analyzing the trade-off between training session time and performance in myoelectric hand gesture recognition during upper limb movement, in: 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, Canada, 2019 |
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| , , , , , , , , and , Assessment of the stability and discriminative power of radiomics features in liver lesions using an anthropomorphic 3D-printed CT phantom, in: Scientific session SGR-SSR, 2021 |
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| , , and , Automated OCT B-Scan Classification of Macular Scan Volumes with DINOv2 and Multi-Head Attention (2025), in: Investigative Ophthalmology & Visual Science June 2025, Vol.66, 5440., vol. 66 |
| and , Automated segmentation of pediatric neuroblastoma on multi-modal (2025), in: MDPI Bioengineering |
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| , , , , , , , , , , , , , , , , , , , , , , , , , 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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| , , , , , , , , , , , , , and , Automatic labels are as effective as manual labels in digital pathology images classification with deep learning (2025), in: Journal of Pathology Informatics, 18(100462) |
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| and , Automatic Multi-structure Segmentation in Cone Beam Computed Tomography Volumes Using Deep Encoder-Decoder Architectures (2025), in: Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data (MICCAI 2024), 15571(63-71) |
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| , , , and , Automating quality control for standardized structured radiology reports using text analysis, in: ECR 2020, Vienna, Austria, 2020 |
| , , , , , and , Automating Quality Control for Structured Standardized Radiology Reports Using Text Analysis., in: Medical Informatics Europe 2020, Geneva, páginas 58--62, IOS Press, 2020 |
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| , and , Availability of sEMG controlled prosthetic arm components, Information Systems Institute, HES-SO Valais; EPFL, 2020 |
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| , and , Bag-of-Visual-Words for Spatial Mapping of Lung Adenocarcinoma Growth Patterns (2026), in: arXiv preprint arXiv:2608.05074 |
| , , , , and , Benchmarking Image Retrieval Diversification Techniques for Social Media (2020), in: IEEE Transactions on Multimedia |
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| , , , , , , , , , and , BIAS: Transparent reporting of biomedical image analysis challenges (2020), in: Medical Image Analysis |
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| , , , , , , , and , Biodiversity information retrieval through content-based identification: a long-term evaluation, Springer, 2019 |
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| , , , , and , Biologically constrained Transformers improve stability and interpretability in single-cell transcriptomics, in: Proceedings of Bioinformatics Italian Society 2026, 2026 |
| , , , and , BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (2025), in: Publimed |
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| , , , , and , Breast Histopathology with High-Performance Computing and Deep Learning (2020), in: Computer and Informatics |
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| , , , , , , , , , , , , , , 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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, , , , , and , 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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| , , and , Classification of noisy free-text prostate cancer pathology reports using natural language processing, in: Workshop AIDP at ICPR, 2021 |
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, , and , CLEF 2019 Working Notes, in: CEUR Workshop Proceedings (CEUR- WS.org), 2019
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| , , , , , , , , and , CLEF proceedings, Springer, LNCS, 2021 |
| and , Combining object recognition, gaze tracking and electromyography to guide prosthetic hands: experiences from two reserch projects (2019), in: Jedlik Laboratory reports, VII:2 |
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| , , and , Combining weak and strong supervised learning improves strong supervision in Gleason pattern classification (2021), in: BMC Medical Imaging |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , Common limitations of performance metrics in biomedical image analysis, in: MIDLconference, 2021 |
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| , , and , Comparing Baseline and Day-1 Diffusion MRI Using Multimodal Deep Embeddings for Stroke Outcome Prediction, in: 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), IEEE, páginas 1--5, 2026 |
| , and , Concept attribution: Explaining CNN decisions to physicians (2020), in: Computers in Biology and Medicine |
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| , , and , Consistency of Scale Covariance in Internal Representations of CNNs, in: Irish Machine Vision and Image Processing Conference, 2020 |
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| , , , and , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2019), in: Pathology Informatics |
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and , DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples (2021), in: Computer Methods and Programs in Biomedicine
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| , , , , , and , Diversity-Augmented Diffusion Network With LLM Assistance For Radiology Report Generation (2025), in: WWW '25: Companion Proceedings of the ACM on Web Conference 2025(2288-2296) |
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| and , EaaS – Evaluation-as-a-Service in scientific challenges, Springer, 2019 |
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