4 citations · 4 across the 2 of their papers we have counts for
4 papers · 1 filter
RELICT: A Replica Detection Framework for Medical Image Generation
Orhun Utku Aydin, Alexander Koch, Adam Hilbert +5
Despite the potential of synthetic medical data for augmenting and improving the generalizability of deep learning models, memorization in generative models can lead to unintended…
Cross-modality image synthesis from TOF-MRA to CTA using diffusion-based models
Alexander Koch, Orhun Utku Aydin, Adam Hilbert +4
Cerebrovascular disease often requires multiple imaging modalities for accurate diagnosis, treatment, and monitoring. Computed Tomography Angiography (CTA) and Time-of-Flight Magne…
On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking
Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert +5
Average Hausdorff Distance (AVD) is a widely used performance measure to calculate the distance between two point sets. In medical image segmentation, AVD is used to compare ground…
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
Tabea Kossen, Pooja Subramaniam, Vince I. Madai +9
Anonymization and data sharing are crucial for privacy protection and acquisition of large datasets for medical image analysis. This is a big challenge, especially for neuroimaging…