66 citations · 79 across the 8 of their papers we have counts for
8 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…
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…
Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics
Melanie Dohmen, Tuan Truong, Ivo M. Baltruschat +1
Reference metrics have been developed to objectively and quantitatively compare two images. Especially for evaluating the quality of reconstructed or compressed images, these metri…
Content-Based Image Retrieval for Multi-Class Volumetric Radiology Images: A Benchmark Study
Farnaz Khun Jush, Steffen Vogler, Tuan Truong +1
While content-based image retrieval (CBIR) has been extensively studied in natural image retrieval, its application to medical images presents ongoing challenges, primarily due to…
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…
Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images
Tuan Truong, Farnaz Khun Jush, Matthias Lenga
Near- and duplicate image detection is a critical concern in the field of medical imaging. Medical datasets often contain similar or duplicate images from various sources, which ca…
Medical Image Retrieval Using Pretrained Embeddings
Farnaz Khun Jush, Tuan Truong, Steffen Vogler +1
A wide range of imaging techniques and data formats available for medical images make accurate retrieval from image databases challenging. Efficient retrieval systems are crucial i…