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20222026
most citedHow to Choose a Reinforcement-Learning Algorithm

1 citations · 2 across the 16 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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),…

cs.CV2024

MLV-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…

cs.CV2024

Individualized Mapping of Aberrant Cortical Thickness via Stochastic Cortical Self-Reconstruction

Christian Wachinger, Dennis Hedderich, Melissa Thalhammer +1

Understanding individual differences in cortical structure is key to advancing diagnostics in neurology and psychiatry. Reference models aid in detecting aberrant cortical thicknes…

cs.CV2023

Abdominal organ segmentation via deep diffeomorphic mesh deformations

Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger

Abdominal organ segmentation from CT and MRI is an essential prerequisite for surgical planning and computer-aided navigation systems. It is challenging due to the high variability…

cs.CV2022★ 1 cited

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks

Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl +1

The reconstruction of cortical surfaces from brain magnetic resonance imaging (MRI) scans is essential for quantitative analyses of cortical thickness and sulcal morphology. Althou…