7 papers
Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning
Tuan Truong, Melanie Dohmen, Sara Lorio +1
Automated identification of DICOM image series is essential for large-scale medical image analysis, quality control, protocol harmonization, and reliable downstream processing. How…
Towards Selection of Large Multimodal Models as Engines for Burned-in Protected Health Information Detection in Medical Images
Tuan Truong, Guillermo Jimenez Perez, Pedro Osorio +1
The detection of Protected Health Information (PHI) in medical imaging is critical for safeguarding patient privacy and ensuring compliance with regulatory frameworks. Traditional…
Zero-shot System for Automatic Body Region Detection for Volumetric CT and MR Images
Farnaz Khun Jush, Grit Werner, Mark Klemens +1
Reliable identification of anatomical body regions is a prerequisite for many automated medical imaging workflows, yet existing solutions remain heavily dependent on unreliable DIC…
Content-based 3D Image Retrieval and a ColBERT-inspired Re-ranking for Tumor Flagging and Staging
Farnaz Khun Jush, Steffen Vogler, Matthias Lenga
The increasing volume of medical images poses challenges for radiologists in retrieving relevant cases. Content-based image retrieval (CBIR) systems offer potential for efficient a…
Exploring AI-based System Design for Pixel-level Protected Health Information Detection in Medical Images
Tuan Truong, Ivo M. Baltruschat, Mark Klemens +2
De-identification of medical images is a critical step to ensure privacy during data sharing in research and clinical settings. The initial step in this process involves detecting…
Similarity and Quality Metrics for MR Image-To-Image Translation
Melanie Dohmen, Mark A. Klemens, Ivo M. Baltruschat +2
Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower n…