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• KI-gestützte datenschutzkonforme multizentrische Vorhersage lymphogener Metastasierung beim Pankreaskarzinom mittels eines föderierter CT-Foundation-Modelle
• Mapping the integration of artificial intelligence and digital technologies in health technology assessment: a scoping review protocol of global knowledge and practices
• ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation
• An efficient screening of dissolution modulators of Mg alloys: Combining high-throughput multi-well exposure with topographical quantification of volume loss and pitting corrosion
• Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning: First International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and September 27, 2025, Proceedings
• Exploring the limit of image resolution for human expert classification of vascular ultrasound images in giant cell arteritis and healthy subjects: the GCA-US-AI project
• FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
• Implementation and clinical evaluation of an in-house thoracic auto-segmentation model for 0.35 T magnetic resonance imaging guided radiotherapy
• MR Fingerprinting and Apparent Diffusion Coefficient Mapping for quantitative characterization of clinically significant Prostate Cancer
• Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching
• SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions--An EndoVis' 24 Challenge
• FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
• Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching
• LYSTO: The lymphocyte assessment hackathon and benchmark dataset
• Medical Image Computing and Computer Assisted Intervention--MICCAI 2023 Workshops: ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8--12, 2023, Proceedings
• FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
• Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health
• Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings
• Flamby: Datasets and benchmarks for cross-silo federated learning in realistic settings
• Domain adaptation and representation transfer, and affordable healthcare and AI for resource diverse global health
• Eine computergestützte automatische Polypencharakterisierung von Hyperplasten, Adenomen und Serratierten Adenomen im Kolorektum-Ergebnisse der CASSANDRA Studie
• The Federated Tumor Segmentation (FeTS) Challenge
• The Future of Digital Health with Federated Learning
• An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
• Benefit of dual energy CT for lesion localization and classification with convolutional neural networks
• Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography
• Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
• Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting: First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
• Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting. First International Workshop, MLMECH 2019 and 8th Joint International Workshop, CVII-STENT 2019. Held in Conjunction with MICCAI 2019. Proceedings
• Self-attention equipped graph convolutions for disease prediction
• 7th Joint International Workshop, CVII-STENT (Intravascular Imaging and Computer Assisted Stenting) 2018 and Third International Workshop, LABELS (Large-Scale Annotation of Biomedical Data and Expert Label Synthesis) 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
• Intravascular Imaging and Computer Assisted Stenting and Large-scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
• Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
• Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
• Fully Automated Multiple Sclerosis lesion detection on multi-channel subtraction images through an integrated Computer Vision-Machine Learning pipeline
• Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
• Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
• Parsing human skeletons in an operating room