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Christian Ledig
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2020 – today
- 2024
- [i14]Sebastian Doerrich, Tobias Archut, Francesco Di Salvo, Christian Ledig:
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification. CoRR abs/2402.12500 (2024) - [i13]Sebastian Doerrich, Francesco Di Salvo, Julius Brockmann, Christian Ledig:
Rethinking Model Prototyping through the MedMNIST+ Dataset Collection. CoRR abs/2404.15786 (2024) - [i12]Francesco Di Salvo, Sebastian Doerrich, Christian Ledig:
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions. CoRR abs/2406.17536 (2024) - [i11]Sebastian Doerrich, Francesco Di Salvo, Christian Ledig:
Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization. CoRR abs/2407.02900 (2024) - 2023
- [c25]Sebastian Doerrich, Francesco Di Salvo, Christian Ledig:
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. MLMI@MICCAI (1) 2023: 62-71 - [i10]Sebastian Doerrich, Francesco Di Salvo, Christian Ledig:
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features. CoRR abs/2308.15507 (2023) - 2021
- [j13]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:
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis. Frontiers Big Data 4: 577164 (2021) - 2020
- [j12]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) - [j11]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): 2088-2099 (2020)
2010 – 2019
- 2019
- [c24]Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig:
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. MIDL 2019: 225-235 - [i9]Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig:
Generative Image Translation for Data Augmentation of Bone Lesion Pathology. CoRR abs/1902.02248 (2019) - 2018
- [i8]Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Isgum:
Generative adversarial networks and adversarial methods in biomedical image analysis. CoRR abs/1810.10352 (2018) - 2017
- [j10]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: 61-78 (2017) - [j9]Ricardo Guerrero, Christian Ledig
, Alexander Schmidt-Richberg, Daniel Rueckert:
Group-constrained manifold learning: Application to AD risk assessment. Pattern Recognit. 63: 570-582 (2017) - [j8]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): 155-165 (2017) - [c23]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: 105-114 - [c22]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: 2848-2857 - [c21]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: 597-609 - [i7]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 abs/1707.02937 (2017) - [i6]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 abs/1708.06297 (2017) - 2016
- [j7]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: 97-113 (2016) - [j6]Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig
, Tong Tong, Robin Wolz, Daniel Rueckert:
Instantiated mixed effects modeling of Alzheimer's disease markers. NeuroImage 142: 113-125 (2016) - [c20]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: 278-281 - [c19]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: 44-52 - [c18]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: 87-96 - [c17]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: 104-112 - [c16]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: 138-149 - [i5]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 abs/1603.05959 (2016) - [i4]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 abs/1609.04802 (2016) - [i3]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 abs/1609.07009 (2016) - [i2]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 abs/1611.05250 (2016) - [i1]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 abs/1612.08894 (2016) - 2015
- [b1]Christian Ledig:
Robust multi-structure segmentation of magnetic resonance brain images. Imperial College London, UK, 2015 - [j5]Wenjia Bai
, Wenzhe Shi, Christian Ledig
, Daniel Rueckert:
Multi-atlas segmentation with augmented features for cardiac MR images. Medical Image Anal. 19(1): 98-109 (2015) - [j4]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): 40-58 (2015) - [c15]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: 387-398 - [c14]Ricardo Guerrero, Christian Ledig
, Alexander Schmidt-Richberg, Daniel Rueckert:
Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning. MLMI 2015: 178-185 - 2014
- [j3]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: 21-32 (2014) - [j2]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): 1818-1831 (2014) - [c13]Christian Ledig
, Wenzhe Shi, Wenjia Bai
, Daniel Rueckert:
Patch-Based Evaluation of Image Segmentation. CVPR 2014: 3065-3072 - [c12]Juha Koikkalainen, Jyrki Lötjönen, Christian Ledig, Daniel Rueckert, Olli Tenovuo, David K. Menon:
Automatic quantification of CT images for traumatic brain injury. ISBI 2014: 125-128 - [c11]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: 333-336 - [c10]Stefan Pszczólkowski, Stefanos Zafeiriou, Christian Ledig, Daniel Rueckert:
A robust similarity measure for nonrigid image registration with outliers. ISBI 2014: 568-571 - [c9]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: 673-676 - [c8]Jyrki Lötjönen, Christian Ledig, Juha Koikkalainen, Robin Wolz, Lennart Thurfjell, Hilkka Soininen, Sébastien Ourselin, Daniel Rueckert:
Extended boundary shift integral. ISBI 2014: 854-857 - [c7]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: 27-37 - [c6]Ricardo Guerrero, Christian Ledig, Daniel Rueckert:
Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease. MLMI 2014: 77-84 - [c5]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: 348-355 - 2013
- [j1]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): 2200-2214 (2013) - [c4]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: 9-16 - [c3]Christian Ledig
, Rolf A. Heckemann
, Alexander Hammers, Daniel Rueckert
:
Improving whole-brain segmentations through incorporating regional image intensity statistics. Medical Imaging: Image Processing 2013: 86691M - 2012
- [c2]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: 896-899 - [c1]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: 1164-1167
Coauthor Index
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last updated on 2024-08-25 19:08 CEST by the dblp team
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