Volgen
Christian Ledig
Christian Ledig
Professor of Explainable Machine Learning, University of Bamberg
Geverifieerd e-mailadres voor uni-bamberg.de - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
95812016
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
28352017
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
14482017
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
5942017
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
K Kamnitsas, C Baumgartner, C Ledig, V Newcombe, J Simpson, A Kane, ...
Information Processing in Medical Imaging: 25th International Conference …, 2017
4492017
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
4062017
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
3112015
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
3022014
DeepMedic for brain tumor segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
2982016
Cardiac image super-resolution with global correspondence using multi-atlas patchmatch
W Shi, J Caballero, C Ledig, X Zhuang, W Bai, K Bhatia, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
2562013
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
1702015
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
1702015
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
1512017
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
1482016
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
1472015
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
1452016
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
1312016
Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database
C Ledig, A Schuh, R Guerrero, RA Heckemann, D Rueckert
Scientific reports 8 (1), 11258, 2018
1202018
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
1192014
Super resolution using a generative adversarial network
W Shi, C Ledig, Z Wang, L Theis, F Huszar
US Patent 11,024,009, 2021
982021
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20