Christian Wachinger

Bridging Modalities on the Cortex: Surface-based MRI to PET Translation with a Diffusion Bridge

Yitong Li, Alexandra Samoylova, Fabian Bongratz +4

Cortical hypometabolism measured by Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is a highly sensitive biomarker for dementia diagnosis. However, high costs, radiation…

International Transfer of Stochastic Cortical Self-Reconstruction

Fabian Bongratz, Zhizheng Zhuo, Chao Zhang +3

Stochastic cortical self-reconstruction (SCSR) enables personalized mapping of gray matter atrophy, a hallmark of neurodegenerative disorders such as Alzheimer's disease (AD), onto…

Whole-body CT attenuation and volume charts from routine clinical scans via evidence-grounded LLM report filtering

Christian Wachinger, Bernhard Renger, Christopher Späth +2

Interpreting quantitative CT biomarkers, such as organ volume and tissue attenuation, requires large-scale healthy reference distributions. However, creating these is challenging b…

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…

Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays

Martin Rath, Morteza Ghahremani, Yitong Li +3

Computed tomography (CT) provides rich 3D anatomical detail but is often constrained by high radiation exposure, substantial costs, and limited availability. Standard chest X-rays…

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…

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation

Emre Kavak, Tom Nuno Wolf, Christian Wachinger

Dataset bias often leads deep learning models to exploit spurious correlations instead of task-relevant signals. We introduce the Standard Anti-Causal Model (SAM), a unifying causa…

Adapting Foundation Vision-Language Models to Medical Diagnosis via Query-Driven Expert Bridging

Yitong Li, Morteza Ghahremani, Christian Wachinger

Vision-language foundation models achieve promising performance in natural image classification, yet their direct application to medical imaging is limited by severe domain shifts,…

3D Shape-to-Image Brownian Bridge Diffusion for Brain MRI Synthesis from Cortical Surfaces

Fabian Bongratz, Yitong Li, Sama Elbaroudy +1

Despite recent advances in medical image generation, existing methods struggle to produce anatomically plausible 3D structures. In synthetic brain magnetic resonance images (MRIs),…

SIC: Similarity-Based Interpretable Image Classification with Neural Networks

Tom Nuno Wolf, Emre Kavak, Fabian Bongratz +1

The deployment of deep learning models in critical domains necessitates a balance between high accuracy and interpretability. We introduce SIC, an inherently interpretable neural n…

MLV $^{2}$ -Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel Segmentation

Fabian Bongratz, Markus Karmann, Adrian Holz +9

Meningeal lymphatic vessels (MLVs) are responsible for the drainage of waste products from the human brain. An impairment in their functionality has been associated with aging as w…

DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET

Yitong Li, Morteza Ghahremani, Youssef Wally +1

Diagnosing dementia, particularly for Alzheimer's Disease (AD) and frontotemporal dementia (FTD), is complex due to overlapping symptoms. While magnetic resonance imaging (MRI) and…

cs.CV2024★ 6 cited

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration

Bailiang Jian, Jiazhen Pan, Morteza Ghahremani +3

Our findings indicate that adopting "advanced" computational elements fails to significantly improve registration accuracy. Instead, well-established registration-specific designs…

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation

Jiajun Wang, Morteza Ghahremani, Yitong Li +2

Controllable text-to-image (T2I) diffusion models have shown impressive performance in generating high-quality visual content through the incorporation of various conditions. Curre…

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data

Yitong Li, Tom Nuno Wolf, Sebastian Pölsterl +3

Differential diagnosis of dementia is challenging due to overlapping symptoms, with structural magnetic resonance imaging (MRI) being the primary method for diagnosis. Despite the…