Christian Ledig
Orcid: 0000-0003-4862-3138
According to our database1,
Christian Ledig
authored at least 51 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations.
CoRR, 2024
Privacy-preserving datasets by capturing feature distributions with Conditional VAEs.
CoRR, 2024
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions.
CoRR, 2024
Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
2021
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis.
Frontiers Big Data, 2021
2020
IEEE Trans. Medical Imaging, 2020
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs.
npj Digit. Medicine, 2020
2019
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
2018
Generative adversarial networks and adversarial methods in biomedical image analysis.
CoRR, 2018
2017
A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2017
Pattern Recognit., 2017
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.
Medical Image Anal., 2017
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize.
CoRR, 2017
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks.
Proceedings of the Information Processing in Medical Imaging, 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Image Vis. Comput., 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.
CoRR, 2016
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016
Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
PhD thesis, 2015
Medical Image Anal., 2015
Medical Image Anal., 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
IEEE Trans. Medical Imaging, 2014
NeuroImage, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.
IEEE Trans. Medical Imaging, 2013
Improving whole-brain segmentations through incorporating regional image intensity statistics.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012