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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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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.GR2025

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…

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),…

eess.IV2025

TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis

Bailiang Jian, Jiazhen Pan, Yitong Li +5

Longitudinal brain analysis is essential for understanding healthy aging and identifying pathological deviations. Longitudinal registration of sequential brain MRI underpins such a…