Schlagworte:
- 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
Publikationen von Henning Müller sortiert nach Zeitschrift und Typ
Medical Physics
| , , , , , , , , , , , und , 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) |
|
Melba
| , , , , , , , , und , Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges (2025), in: Melba, Volume 3(775-791) |
[DOI] |
Nature Scientific Data
| , , , , , , , , , , , , und , Gaze, visual,myoelectric data of grasps for intelligent prosthetics (2020), in: Nature Scientific Data |
|
Nature Scientific Reports
, , , , und , The Importance of Feature Aggregation in Radiomics: A Head and Neck Cancer Study (2020), in: Nature Scientific Reports, 10:19679
|
|
NEJM AI
| , , , , , , , , , , und , The TopCoW Challenge—Topology-Aware Circle of Willis Segmentation for CT and MR Angiography (2026), in: NEJM AI, 3:8(AIdbp2500994) |
NeuroImage: Clinical
| , , , , , , , , , , , , , , , , , , und , A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis (2026), in: NeuroImage: Clinical, 50(104007) |
[DOI] [URL] |
Pathology Informatics
| , , , und , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2019), in: Pathology Informatics |
[DOI] |
| , , , , , , und , Identification and retrieval of prostate cancer cases using a content-based search tool (2019), in: Pathology Informatics |
|
Publimed
| , , , und , BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (2025), in: Publimed |
[DOI] |
Radiology
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und , Standardized quantitative radiomics for high-throughput image-based phenotyping (2020), in: Radiology, 295:2(328-338)
|
|
Scientific Data
, und , A large calibrated database of hand movements and grasp kinematics (2020), in: Scientific Data
|
|
| , , , , , , , , und , 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) |
|
Sensors
| , , , , und , Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter-and Intra-Subject Study (2021), in: Sensors, 21:22(7500) |
| , , und , Variability of Muscle Synergies in Hand Grasps: Analysis of Intra-and Inter-Session Data (2020), in: Sensors, 20:15(4297) |
|
SENSORS AND ACTUATORS. A, PHYSICAL
| , , , und , A Ni/CCF@PDMS-based flexible and electromagnetic interference-shielding surface electromyography/electrooculography sensor (2026), in: SENSORS AND ACTUATORS. A, PHYSICAL, 400(117530--117530) |
[DOI] |
SIGNAL, IMAGE AND VIDEO PROCESSING
| , , , , , , , und , Improving sEMG signals recognition accuracy using 3D compression and broad learning system (2025), in: SIGNAL, IMAGE AND VIDEO PROCESSING, 19:13 |
[DOI] |
Special Issue "Interpretable and Annotation-Efficient Learning for Medical Image Computing" in Machine Learning and Knowledge Extraction
| , , , und , On the Scale Invariance in State of the Art CNNs Trained on ImageNet (2021), in: Special Issue "Interpretable and Annotation-Efficient Learning for Medical Image Computing" in Machine Learning and Knowledge Extraction:3(374–391) |
|
Springer Pfofessional, Wasser Wirtschaft
| und , KI-gestütztes Videomonitoring aquatischer Ökosysteme - Chancen, Grenzen und Praxisanforderungen (2025), in: Springer Pfofessional, Wasser Wirtschaft, 115(54-61) |
[DOI] |
Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data (MICCAI 2024)
| und , 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) |
[DOI] [URL] |
The MICCAI Society book Series 2025
| , , , , , und , Interpretable AI for medical image analysis (2025), in: The MICCAI Society book Series 2025, Chapter 15(315-346) |
[DOI] [URL] |
WWW '25: Companion Proceedings of the ACM on Web Conference 2025
| , , , , , und , 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) |
[DOI] |
WWW '25: The ACM Web Conference 2025
| , , , , , , und , 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) |
[DOI] [URL] |
Publikationen vom Typ Book
2021
| , , , , , , , , und , CLEF proceedings, Springer, LNCS, 2021 |
2019
| , , , , , , , und , Experimental IR Meets Multilinguality, Multimodality, and Interaction, Springer, LNCS, 2019 |
|
Publikationen vom Typ Inbook
| , , , , , , , und , Biodiversity information retrieval through content-based identification: a long-term evaluation, Springer, 2019 |
|
| und , EaaS – Evaluation-as-a-Service in scientific challenges, Springer, 2019 |
|
| , und , Experiences from the ImageCLEF Medical Retrieval and Annotation Tasks, Springer, 2019 |
|
Publikationen vom Typ Incollection
2026
| , , , , und , Biologically constrained Transformers improve stability and interpretability in single-cell transcriptomics, in: Proceedings of Bioinformatics Italian Society 2026, 2026 |
Publikationen vom Typ Inproceedings
| , , und , 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, Seiten 1--5, 2026 |
| , , , , , , , , , und , Imageclef 2026: Multimodal challenges in medicine, science, agritech, and security, in: European Conference on Information Retrieval, Springer, Seiten 336--344, 2026 |
| , , , , , , , , , , , und , Multi-Method eXplainability for Similarity Assessment in AI-Denoised PET Imaging, in: 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), Seiten 1-4, 2026 |
[DOI] |
2024
| , und , 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 |
[DOI] |
| , , , , , , , und , A full pipeline to analyze lung histopathology images, in: Digital and Computational Pathology, SPIE Medical Imaging, 2024 |
[DOI] |
2021
| , , , und , 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 |
|
| , , , , , , , , und , 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 |
|
| , , und , Classification of noisy free-text prostate cancer pathology reports using natural language processing, in: Workshop AIDP at ICPR, 2021 |
|
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und , Common limitations of performance metrics in biomedical image analysis, in: MIDLconference, 2021 |
|
| , , , und , End-to-end Fine-grained Neural Entity Recognition of Patients, Interventions, and Outcomes, in: CLEF proceedings, 2021 |
|
| , , und , Evaluation and Comparison of CNN Visual Explanations for Histopathology, in: XAI-AAAI-21, 2021 |
|
| , , , und , 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 |
|
| , , , , , , , , , , , , , , , , , , , , , , , , , , , und , ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media, in: CLEF proceedings, Springer, 2021 |
|
| und , InvNet: A Deep Learning Approach to Invert Complex Deformation Fields, in: ISBI, Nice, France, 2021 |
|
| , , , , , , , , , , und , LifeCLEF 2021 teaser: Biodiversity Identification and Prediction Challenges, in: European Conference on Information Retrieval, 2021 |
|
| , , , , , , , und , Multi-Scale Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations, in: COMPAY workshop at MICCAI, 2021 |
|
| , , , und , Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification, in: CLEF working notes, 2021 |
|
| , , , , , , , , , , , , , , , , , und , Overview of LifeCLEF 2021: an Evaluation of Machine-Learning based Species Identification and Species Distribution Prediction, in: CLEF proceedings, Springer, 2021 |
|
| , , , , und , Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task, in: CLEF working notes, 2021 |
|
| , , , und , Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical Domain, in: CLEF working notes, 2021 |
|
, , , , , und , Radiomics Analysis Using The Image Biomarker Standardization Initiative (IBSI) Benchmarks And Guidelines, in: Radiological Society of North America (RSNA) 2021 Annual Meeting, 2021
|
|