Christian Ledig

Orcid: 0000-0003-4862-3138

According to our database1, Christian Ledig authored at least 45 papers between 2012 and 2024.

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Bibliography

2024
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification.
CoRR, 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
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.
IEEE Trans. Medical Imaging, 2020

Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs.
npj Digit. Medicine, 2020

2019
Generative Image Translation for Data Augmentation of Bone Lesion Pathology.
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

Group-constrained manifold learning: Application to AD risk assessment.
Pattern Recognit., 2017

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.
Medical Image Anal., 2017

Employing Weak Annotations for Medical Image Analysis Problems.
CoRR, 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
Instantiated mixed effects modeling of Alzheimer's disease markers.
NeuroImage, 2016

A robust similarity measure for volumetric image registration with outliers.
Image Vis. Comput., 2016

Is the deconvolution layer the same as a convolutional layer?
CoRR, 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

Differential Dementia Diagnosis on Incomplete Data with Latent Trees.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

DeepMedic for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 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
Robust multi-structure segmentation of magnetic resonance brain images.
PhD thesis, 2015

Robust whole-brain segmentation: Application to traumatic brain injury.
Medical Image Anal., 2015

Multi-atlas segmentation with augmented features for cardiac MR images.
Medical Image Anal., 2015

Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain.
IEEE Trans. Medical Imaging, 2014

Automatic quantification of normal cortical folding patterns from fetal brain MRI.
NeuroImage, 2014

Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014

Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease.
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

A robust similarity measure for nonrigid image registration with outliers.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Extended boundary shift integral.
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

Automatic quantification of CT images for traumatic brain injury.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Patch-Based Evaluation of Image Segmentation.
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

Multi-class brain segmentation using atlas propagation and EM-based refinement.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012


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