Christian Ledig

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Venues

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Francesco Di Salvo, Sebastian Doerrich, Christian Ledig
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions. CoRR (2024)
Sebastian Doerrich, Francesco Di Salvo, Julius Brockmann, Christian Ledig
Rethinking Model Prototyping through the MedMNIST+ Dataset Collection. CoRR (2024)
Sebastian Doerrich, Tobias Archut, Francesco Di Salvo, Christian Ledig
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification. CoRR (2024)
Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization. CoRR (2024)
Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. CoRR (2023)
Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. MLMI@MICCAI (1) (2023)
Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Ozan Oktay, Christian Ledig, Loïc Le Folgoc, Konstantinos Kamnitsas, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. IEEE Trans. Medical Imaging 39 (6) (2020)
Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O'Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis Potter, Robert V. Lindsey
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 3 (2020)
Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. CoRR (2019)
Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. MIDL (2019)
Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum
Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR (2018)
Tong Tong, Qinquan Gao, Ricardo Guerrero, Christian Ledig, Liang Chen, Daniel Rueckert
A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease. IEEE Trans. Biomed. Eng. 64 (1) (2017)
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CVPR (2017)
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. IPMI (2017)
Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Medical Image Anal. 36 (2017)
Andrew P. Aitken, Christian Ledig, Lucas Theis, Jose Caballero, Zehan Wang, Wenzhe Shi
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize. CoRR (2017)
Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert
Group-constrained manifold learning: Application to AD risk assessment. Pattern Recognit. 63 (2017)
Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. CVPR (2017)
Martin Rajchl, Lisa M. Koch, Christian Ledig, Jonathan Passerat-Palmbach, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
Employing Weak Annotations for Medical Image Analysis Problems. CoRR (2017)
Wenzhe Shi, Jose Caballero, Lucas Theis, Ferenc Huszar, Andrew P. Aitken, Christian Ledig, Zehan Wang
Is the deconvolution layer the same as a convolutional layer? CoRR (2016)
Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
DeepMedic for Brain Tumor Segmentation. BrainLes@MICCAI (2016)
Christian Ledig, Sebastian Kaltwang, Antti Tolonen, Juha Koikkalainen, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Jyrki Lötjönen, Daniel Rueckert
Differential Dementia Diagnosis on Incomplete Data with Latent Trees. MICCAI (2) (2016)
Chen Qin, Ricardo Guerrero Moreno, Christopher Bowles, Christian Ledig, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Ben Glocker, Daniel Rueckert
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. MLMI@MICCAI (2016)
Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation. CoRR (2016)
Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valdés Hernández, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert
Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI (2016)
Siying Wang, Maria Kuklisova-Murgasova, Joseph V. Hajnal, Christian Ledig, Julia A. Schnabel
Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging. ISBI (2016)
Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. CoRR (2016)
Patrick Snape, Stefan Pszczólkowski, Stefanos Zafeiriou, Georgios Tzimiropoulos, Christian Ledig, Daniel Rueckert
A robust similarity measure for volumetric image registration with outliers. Image Vis. Comput. 52 (2016)
Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert
Instantiated mixed effects modeling of Alzheimer's disease markers. NeuroImage 142 (2016)
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CoRR (2016)
Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks. CoRR (2016)
Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Juan Carlos López, Virginia F. J. Newcombe, Antonios Makropoulos, Jyrki Lötjönen, David K. Menon, Daniel Rueckert
Robust whole-brain segmentation: Application to traumatic brain injury. Medical Image Anal. 21 (1) (2015)
Wenjia Bai, Wenzhe Shi, Christian Ledig, Daniel Rueckert
Multi-atlas segmentation with augmented features for cardiac MR images. Medical Image Anal. 19 (1) (2015)
Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert
Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning. MLMI (2015)
Alexander Schmidt-Richberg, Ricardo Guerrero, Christian Ledig, Helena Molina-Abril, Alejandro F. Frangi, Daniel Rueckert
Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease. IPMI (2015)
Christian Ledig, Wenzhe Shi, Wenjia Bai, Daniel Rueckert
Patch-Based Evaluation of Image Segmentation. CVPR (2014)
Jyrki Lötjönen, Christian Ledig, Juha Koikkalainen, Robin Wolz, Lennart Thurfjell, Hilkka Soininen, Sébastien Ourselin, Daniel Rueckert
Extended boundary shift integral. ISBI (2014)
Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert
Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. MICCAI (1) (2014)
Ricardo Guerrero, Christian Ledig, Daniel Rueckert
Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease. MLMI (2014)
Juha Koikkalainen, Jyrki Lötjönen, Christian Ledig, Daniel Rueckert, Olli Tenovuo, David K. Menon
Automatic quantification of CT images for traumatic brain injury. ISBI (2014)
Stefan Pszczólkowski, Stefanos Zafeiriou, Christian Ledig, Daniel Rueckert
A robust similarity measure for nonrigid image registration with outliers. ISBI (2014)
Robert Wright, Vanessa Kyriakopoulou, Christian Ledig, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar
Automatic quantification of normal cortical folding patterns from fetal brain MRI. NeuroImage 91 (2014)
Antonios Makropoulos, Ioannis S. Gousias, Christian Ledig, Paul Aljabar, Ahmed Serag, Joseph V. Hajnal, A. David Edwards, Serena J. Counsell, Daniel Rueckert
Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain. IEEE Trans. Medical Imaging 33 (9) (2014)
Andreas Schuh, Maria Murgasova, Antonios Makropoulos, Christian Ledig, Serena J. Counsell, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert
Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration. STIA (2014)
Anil Rao, Christian Ledig, Virginia F. J. Newcombe, David K. Menon, Daniel Rueckert
Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework. ISBI (2014)
Christian Ledig, Wenzhe Shi, Antonios Makropoulos, Juha Koikkalainen, Rolf A. Heckemann, Alexander Hammers, Jyrki Lötjönen, Olli Tenovuo, Daniel Rueckert
Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury. ISBI (2014)
Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
Improving whole-brain segmentations through incorporating regional image intensity statistics. Medical Imaging: Image Processing (2013)
Wenzhe Shi, Jose Caballero, Christian Ledig, Xiahai Zhuang, Wenjia Bai, Kanwal K. Bhatia, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Declan P. O'Regan, Daniel Rueckert
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. MICCAI (3) (2013)
Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, David J. Sharp, Christian Ledig, Robert Leech, Daniel Rueckert
A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks. IEEE Trans. Medical Imaging 32 (12) (2013)
Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valeria Manna, Christian Ledig, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior. ISBI (2012)
Christian Ledig, Robin Wolz, Paul Aljabar, Jyrki Lötjönen, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
Multi-class brain segmentation using atlas propagation and EM-based refinement. ISBI (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Ledig