Christian Ledig

66 papers A* 3A 1B 1Journal 35Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis. CoRR Francesco Di Salvo, Sebastian Doerrich, Jonas Alle, Christian Ledig
2026	J	`jnl`	HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis. Trans. Mach. Learn. Res. Francesco Di Salvo, Sebastian Doerrich, Jonas Alle, Christian Ledig
2026	J	`jnl`	Stylizing ViT: Anatomy-Preserving Instance Style Transfer for Domain Generalization. CoRR Sebastian Doerrich, Francesco Di Salvo, Jonas Alle, Christian Ledig
2025	J	`jnl`	An Embedding is Worth a Thousand Noisy Labels. Trans. Mach. Learn. Res. Francesco Di Salvo, Sebastian Doerrich, Ines Rieger, Christian Ledig
2025	—	`conf`	Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs. MICCAI (14) Francesco Di Salvo, Hanh Huyen My Nguyen, Christian Ledig
2025	J	`jnl`	Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs. CoRR Francesco Di Salvo, Hanh Huyen My Nguyen, Christian Ledig
2024	J	`jnl`	An Embedding is Worth a Thousand Noisy Labels. CoRR Francesco Di Salvo, Sebastian Doerrich, Ines Rieger, Christian Ledig
2024	—	`conf`	Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification. ISBI Sebastian Doerrich, Tobias Archut, Francesco Di Salvo, Christian Ledig
2024	J	`jnl`	Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification. CoRR Sebastian Doerrich, Tobias Archut, Francesco Di Salvo, Christian Ledig
2024	J	`jnl`	MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions. CoRR Francesco Di Salvo, Sebastian Doerrich, Christian Ledig
2024	A	`conf`	Privacy-preserving datasets by capturing feature distributions with Conditional VAEs. BMVC Francesco Di Salvo, David Tafler, Sebastian Doerrich, Christian Ledig
2024	J	`jnl`	Privacy-preserving datasets by capturing feature distributions with Conditional VAEs. CoRR Francesco Di Salvo, David Tafler, Sebastian Doerrich, Christian Ledig
2024	J	`jnl`	Rethinking Model Prototyping through the MedMNIST+ Dataset Collection. CoRR Sebastian Doerrich, Francesco Di Salvo, Julius Brockmann, Christian Ledig
2024	—	`conf`	Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization. MICCAI (10) Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
2024	J	`jnl`	Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization. CoRR Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
2024	—	`conf`	Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations. BMVC Workshops Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
2024	J	`jnl`	Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations. CoRR Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
2023	—	`conf`	unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. MLMI@MICCAI (1) Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
2023	J	`jnl`	unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. CoRR Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
2021	J	`jnl`	Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis. Frontiers Big Data Wyke Huizinga, Dirk H. J. Poot, Elisabeth J. Vinke, F. Wenzel, Esther Bron, N. Toussaint, Christian Ledig, Henri A. Vrooman, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Stefan Klein
2020	J	`jnl`	Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digit. Medicine 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
2020	J	`jnl`	Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. IEEE Trans. Medical Imaging 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
2019	—	`conf`	Generative Image Translation for Data Augmentation of Bone Lesion Pathology. MIDL Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
2019	J	`jnl`	Generative Image Translation for Data Augmentation of Bone Lesion Pathology. CoRR Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
2018	J	`jnl`	Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum
2017	J	`jnl`	A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease. IEEE Trans. Biomed. Eng. Tong Tong, Qinquan Gao, Ricardo Guerrero, Christian Ledig, Liang Chen, Daniel Rueckert
2017	J	`jnl`	Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize. CoRR Andrew P. Aitken, Christian Ledig, Lucas Theis, Jose Caballero, Zehan Wang, Wenzhe Shi
2017	J	`jnl`	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Medical Image Anal. Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
2017	J	`jnl`	Employing Weak Annotations for Medical Image Analysis Problems. CoRR Martin Rajchl, Lisa M. Koch, Christian Ledig, Jonathan Passerat-Palmbach, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
2017	J	`jnl`	Group-constrained manifold learning: Application to AD risk assessment. Pattern Recognit. Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert
2017	A*	`conf`	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CVPR Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
2017	A*	`conf`	Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. CVPR Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi
2017	—	`conf`	Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. IPMI 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
2016	—	`conf`	A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. MLMI@MICCAI 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
2016	J	`jnl`	A robust similarity measure for volumetric image registration with outliers. Image Vis. Comput. Patrick Snape, Stefan Pszczólkowski, Stefanos Zafeiriou, Georgios Tzimiropoulos, Christian Ledig, Daniel Rueckert
2016	—	`conf`	DeepMedic for Brain Tumor Segmentation. BrainLes@MICCAI Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
2016	—	`conf`	Differential Dementia Diagnosis on Incomplete Data with Latent Trees. MICCAI (2) 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
2016	J	`jnl`	Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation. CoRR Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker
2016	J	`jnl`	Instantiated mixed effects modeling of Alzheimer's disease markers. NeuroImage Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert
2016	J	`jnl`	Is the deconvolution layer the same as a convolutional layer? CoRR Wenzhe Shi, Jose Caballero, Lucas Theis, Ferenc Huszar, Andrew P. Aitken, Christian Ledig, Zehan Wang
2016	J	`jnl`	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CoRR Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
2016	—	`conf`	Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI 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
2016	J	`jnl`	Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation. CoRR Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi
2016	—	`conf`	Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging. ISBI Siying Wang, Maria Kuklisova-Murgasova, Joseph V. Hajnal, Christian Ledig, Julia A. Schnabel
2016	J	`jnl`	Unsupervised domain adaptation in brain lesion segmentation with adversarial networks. CoRR 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
2015	—	`conf`	Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning. MLMI Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert
2015	J	`jnl`	Multi-atlas segmentation with augmented features for cardiac MR images. Medical Image Anal. Wenjia Bai, Wenzhe Shi, Christian Ledig, Daniel Rueckert
2015	—	`conf`	Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease. IPMI Alexander Schmidt-Richberg, Ricardo Guerrero, Christian Ledig, Helena Molina-Abril, Alejandro F. Frangi, Daniel Rueckert
2015	—	`—`	Robust multi-structure segmentation of magnetic resonance brain images. Christian Ledig
2015	J	`jnl`	Robust whole-brain segmentation: Application to traumatic brain injury. Medical Image Anal. Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Juan Carlos López, Virginia F. J. Newcombe, Antonios Makropoulos, Jyrki Lötjönen, David K. Menon, Daniel Rueckert
2014	—	`conf`	A robust similarity measure for nonrigid image registration with outliers. ISBI Stefan Pszczólkowski, Stefanos Zafeiriou, Christian Ledig, Daniel Rueckert
2014	J	`jnl`	Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain. IEEE Trans. Medical Imaging Antonios Makropoulos, Ioannis S. Gousias, Christian Ledig, Paul Aljabar, Ahmed Serag, Joseph V. Hajnal, A. David Edwards, Serena J. Counsell, Daniel Rueckert
2014	—	`conf`	Automatic quantification of CT images for traumatic brain injury. ISBI Juha Koikkalainen, Jyrki Lötjönen, Christian Ledig, Daniel Rueckert, Olli Tenovuo, David K. Menon
2014	J	`jnl`	Automatic quantification of normal cortical folding patterns from fetal brain MRI. NeuroImage Robert Wright, Vanessa Kyriakopoulou, Christian Ledig, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar
2014	—	`conf`	Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury. ISBI Christian Ledig, Wenzhe Shi, Antonios Makropoulos, Juha Koikkalainen, Rolf A. Heckemann, Alexander Hammers, Jyrki Lötjönen, Olli Tenovuo, Daniel Rueckert
2014	—	`conf`	Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration. STIA Andreas Schuh, Maria Murgasova, Antonios Makropoulos, Christian Ledig, Serena J. Counsell, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert
2014	—	`conf`	Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework. ISBI Anil Rao, Christian Ledig, Virginia F. J. Newcombe, David K. Menon, Daniel Rueckert
2014	—	`conf`	Extended boundary shift integral. ISBI Jyrki Lötjönen, Christian Ledig, Juha Koikkalainen, Robin Wolz, Lennart Thurfjell, Hilkka Soininen, Sébastien Ourselin, Daniel Rueckert
2014	—	`conf`	Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease. MLMI Ricardo Guerrero, Christian Ledig, Daniel Rueckert
2014	—	`conf`	Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. MICCAI (1) Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert
2014	A*	`conf`	Patch-Based Evaluation of Image Segmentation. CVPR Christian Ledig, Wenzhe Shi, Wenjia Bai, Daniel Rueckert
2013	J	`jnl`	A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks. IEEE Trans. Medical Imaging Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, David J. Sharp, Christian Ledig, Robert Leech, Daniel Rueckert
2013	—	`conf`	Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. MICCAI (3) 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
2013	B	`conf`	Improving whole-brain segmentations through incorporating regional image intensity statistics. Image Processing Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert
2012	—	`conf`	Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior. ISBI Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valeria Manna, Christian Ledig, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert
2012	—	`conf`	Multi-class brain segmentation using atlas propagation and EM-based refinement. ISBI Christian Ledig, Robin Wolz, Paul Aljabar, Jyrki Lötjönen, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert