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Recent Research
View all →Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning
Tuan Truong, Melanie Dohmen, Sara Lorio, Matthias Lenga
An end-to-end multimodal framework for DICOM series classification that jointly models image content and acquisition metadata via bi-directional cross-modal attention and sparse, missingness-aware metadata encoding.
Towards Selection of Large Multimodal Models as Engines for Burned-in PHI Detection in Medical Images
Tuan Truong, Guillermo Jiménez-Pérez, Pedro Osório, Matthias Lenga
Exploring LLMs and vision-language models for zero-shot and few-shot detection of burned-in Protected Health Information in radiology images.
Exploring AI-Based System Design for Pixel-Level PHI Detection in Medical Images
Tuan Truong, Ivo M. Baltruschat, Mark Klemens, Grit Werner, Matthias Lenga
A benchmark of AI-based pipelines — YOLOv11, EasyOCR, and GPT-4o — for pixel-level PHI detection across multiple imaging modalities.
Fused Audio Instance and Representation for Respiratory Disease Detection
Tuan Truong, Matthias Lenga, Antoine Serrurier, Sadegh Mohammadi
Extending the FAIR4Cov framework to a broader set of respiratory conditions by fusing instance-level and representation-level audio features from multiple pretrained models.
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