Christian Ledig
Christian Ledig
Imagen Technologies
Verified email at imperial.ac.uk - Homepage
TitleCited byYear
Photo-realistic single image super-resolution using a generative adversarial network
C Ledig, L Theis, F Huszár, J Caballero, A Cunningham, A Acosta, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
22072016
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
K Kamnitsas, C Ledig, VFJ Newcombe, JP Simpson, AD Kane, DK Menon, ...
Medical image analysis 36, 61-78, 2017
8632017
Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research
AIR Maas, DK Menon, PD Adelson, N Andelic, MJ Bell, A Belli, P Bragge, ...
The Lancet Neurology 16 (12), 987-1048, 2017
2302017
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
1732015
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
1432017
Automatic whole brain MRI segmentation of the developing neonatal brain
A Makropoulos, IS Gousias, C Ledig, P Aljabar, A Serag, JV Hajnal, ...
IEEE transactions on medical imaging 33 (9), 1818-1831, 2014
1432014
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
K Kamnitsas, C Baumgartner, C Ledig, V Newcombe, J Simpson, A Kane, ...
International conference on information processing in medical imaging, 597-609, 2017
1142017
Real-time video super-resolution with spatio-temporal networks and motion compensation
J Caballero, C Ledig, A Aitken, A Acosta, J Totz, Z Wang, W Shi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1062017
Multi-atlas segmentation with augmented features for cardiac MR images
W Bai, W Shi, C Ledig, D Rueckert
Medical image analysis 19 (1), 98-109, 2015
1042015
Cardiac image super-resolution with global correspondence using multi-atlas patchmatch
W Shi, J Caballero, C Ledig, X Zhuang, W Bai, K Bhatia, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2013
992013
Robust whole-brain segmentation: application to traumatic brain injury
C Ledig, RA Heckemann, A Hammers, JC Lopez, VFJ Newcombe, ...
Medical image analysis 21 (1), 40-58, 2015
822015
DeepMedic for brain tumor segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
International workshop on Brainlesion: Glioma, multiple sclerosis, stroke …, 2016
772016
Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI
K Kamnitsas, L Chen, C Ledig, D Rueckert, B Glocker
Ischemic stroke lesion segmentation 13, 46, 2015
722015
Automatic quantification of normal cortical folding patterns from fetal brain MRI
R Wright, V Kyriakopoulou, C Ledig, MA Rutherford, JV Hajnal, ...
NeuroImage 91, 21-32, 2014
652014
Differential diagnosis of neurodegenerative diseases using structural MRI data
J Koikkalainen, H Rhodius-Meester, A Tolonen, F Barkhof, B Tijms, ...
NeuroImage: Clinical 11, 435-449, 2016
522016
Is the deconvolution layer the same as a convolutional layer?
W Shi, J Caballero, L Theis, F Huszar, A Aitken, C Ledig, Z Wang
arXiv preprint arXiv:1609.07009, 2016
412016
Dynamic changes in white matter abnormalities correlate with late improvement and deterioration following TBI: a diffusion tensor imaging study
VFJ Newcombe, MM Correia, C Ledig, MG Abate, JG Outtrim, D Chatfield, ...
Neurorehabilitation and neural repair 30 (1), 49-62, 2016
372016
Multi-class brain segmentation using atlas propagation and EM-based refinement
C Ledig, R Wolz, P Aljabar, J Lötjönen, RA Heckemann, A Hammers, ...
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 896-899, 2012
342012
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
A Aitken, C Ledig, L Theis, J Caballero, Z Wang, W Shi
arXiv preprint arXiv:1707.02937, 2017
332017
A novel grading biomarker for the prediction of conversion from mild cognitive impairment to Alzheimer's disease
T Tong, Q Gao, R Guerrero, C Ledig, L Chen, D Rueckert, ...
IEEE Transactions on Biomedical Engineering 64 (1), 155-165, 2016
322016
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Articles 1–20