Ledig, C.
* 2013: Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks, A
* 2014: Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain
* 2014: Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease
* 2014: Patch-Based Evaluation of Image Segmentation
* 2015: Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning
* 2016: robust similarity measure for volumetric image registration with outliers, A
* 2016: Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation, A
* 2017: Group-constrained manifold learning: Application to AD risk assessment
* 2017: Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
* 2017: Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
* 2020: Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models
Includes: Ledig, C. Ledig, C.[Christian]
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