14 citations · 14 across the 4 of their papers we have counts for
4 papers
HemExp: Clinically-Guided Latent Diffusion for Modeling Hematoma Expansion
Orhun Utku Aydin, Satoru Tanioka, Tzu I Chuang +7
Hematoma expansion (HE) after spontaneous intracerebral hemorrhage (ICH) is a major determinant of acute triage and treatment decisions in neurosurgical care. However, most existin…
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…
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…