11 papers
Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awareness
Yitong Li, Igor Yakushev, Dennis M. Hedderich +1
Positron emission tomography (PET) is a widely recognized technique for diagnosing neurodegenerative diseases, offering critical functional insights. However, its high costs and ra…
Cortex-Grounded Diffusion Models for Brain Image Generation
Fabian Bongratz, Yitong Li, Sama Elbaroudy +1
Synthetic neuroimaging data can mitigate critical limitations of real-world datasets, including the scarcity of rare phenotypes, domain shifts across scanners, and insufficient lon…
Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics
Yitong Li, Ralph Buchert, Benita Schmitz-Koep +5
Positron emission tomography (PET) with 18F-Fluorodeoxyglucose (FDG) is an established tool in the diagnostic workup of patients with suspected dementing disorders. However, compar…
Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation
Patrick Madlindl, Fabian Bongratz, Christian Wachinger
Cortical surface reconstruction (CSR) from magnetic resonance imaging (MRI) is fundamental to neuroimage analysis, enabling morphological studies of the cerebral cortex and functio…
Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting
Ivan Stoyanov, Fabian Bongratz, Christian Wachinger
Accurate forecasting of individualized, high-resolution cortical thickness (CTh) trajectories is essential for detecting subtle cortical changes, providing invaluable insights into…
X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis
Fabian Bongratz, Tom Nuno Wolf, Jaume Gual Ramon +1
Interpretable models are crucial for supporting clinical decision-making, driving advances in their development and application for medical images. However, the nature of 3D volume…