CL
Christian Ledig
cs.CVcs.LGeess.IVAlgorithmsAlzheimer's diseasemagnetic resonance imagingMagnetic Resonance ImagingMRINeural Networks, ComputerSubtraction Technique
On Valency
published · living versionsW_j35cphqe·v1 · currentpublished
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
with Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham +6
1 version
Preprints & journals
50 papers in the corpus · 2013–2026MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring2606.22649v2 · Francesco Di Salvo, Sebastian Doerrich, Christian Ledig2026 · 0 citationsarXiv
HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis2602.03264v1 · Francesco Di Salvo, Sebastian Doerrich, Jonas Alle et al.2026 · 0 citationsarXiv
Stylizing ViT: Anatomy-Preserving Instance Style Transfer for Domain Generalization2601.17586v1 · Sebastian Doerrich, Francesco Di Salvo, Jonas Alle et al.2026 · 0 citationsarXiv
Easy-to-use and easy-to-interpret quality control of 3D gradient echo T1-weighted MR acquisition sequences for improved test-retest stability of MRI-based hippocampus volumetry.40990841 · Buchert, Ralph, Suppa, Per, Ardekani, Babak A et al.2025 · 1 citationJournal of Alzheimer's disease : JAD. 2025;108(2):844-861
Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs2507.02671v1 · Francesco Di Salvo, Hanh Huyen My Nguyen, Christian Ledig2025 · 2 citationsarXiv
Rethinking model prototyping through the MedMNIST+ dataset collection.40044786 · Doerrich, Sebastian, Di Salvo, Francesco, Brockmann, Julius et al.2025 · 14 citationsScientific reports. 2025;15(1):7669
Incorporating label uncertainty during the training of convolutional neural networks improves performance for the discrimination between certain and inconclusive cases in dopamine transporter SPECT.39592475 · Kucerenko, Aleksej, Buddenkotte, Thomas, Apostolova, Ivayla et al.2025 · 3 citationsEuropean journal of nuclear medicine and molecular imaging. 2025;52(4):1535-1548
Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations2409.12276v1 · Sebastian Doerrich, Francesco Di Salvo, Christian Ledig2024 · 0 citationsarXiv
An Embedding is Worth a Thousand Noisy Labels2408.14358v3 · Francesco Di Salvo, Sebastian Doerrich, Ines Rieger et al.2024 · 0 citationsarXiv
Privacy-preserving datasets by capturing feature distributions with Conditional VAEs2408.00639v1 · Francesco Di Salvo, David Tafler, Sebastian Doerrich et al.2024 · 0 citationsarXiv
Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization2407.02900v1 · Sebastian Doerrich, Francesco Di Salvo, Christian Ledig2024 · 7 citationsarXiv
MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions2406.17536v3 · Francesco Di Salvo, Sebastian Doerrich, Christian Ledig2024 · 3 citationsarXiv
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification2402.12500v1 · Sebastian Doerrich, Tobias Archut, Francesco Di Salvo et al.2024 · 2 citationsarXiv
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features2308.15507v1 · Sebastian Doerrich, Francesco Di Salvo, Christian Ledig2023 · 3 citationsarXiv
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis.34723175 · Huizinga, W, Poot, D H J, Vinke, E J et al.2021 · 4 citationsFrontiers in big data. 2021;4:577164
Volume Change in Frontal Cholinergic Structures After Traumatic Brain Injury and Cognitive Outcome.32903569 · Östberg, Anna, Ledig, Christian, Katila, Ari et al.2020 · 10 citationsFrontiers in neurology. 2020;11:832
Integrative Analysis of Circulating Metabolite Profiles and Magnetic Resonance Imaging Metrics in Patients with Traumatic Brain Injury.32092929 · Thomas, Ilias, Dickens, Alex M, Posti, Jussi P et al.2021 · 20 citationsInternational journal of molecular sciences. 2020;21(4)
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.31944949 · Biffi, Carlo, Cerrolaza, Juan J, Tarroni, Giacomo et al.2021 · 7 citationsIEEE transactions on medical imaging. 2020;39(6):2088-2099
Quantitative assessment of myelination patterns in preterm neonates using T2-weighted MRI.31506514 · Wang, Siying, Ledig, Christian, Hajnal, Joseph V et al.2020 · 27 citationsScientific reports. 2019;9(1):12938
Generative Image Translation for Data Augmentation of Bone Lesion Pathology1902.02248v1 · Anant Gupta, Srivas Venkatesh, Sumit Chopra et al.2019 · 35 citationsarXiv
Generative adversarial networks and adversarial methods in biomedical image analysis1810.10352v1 · Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig et al.2018 · 19 citationsarXiv
Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database.30050078 · Ledig, Christian, Schuh, Andreas, Guerrero, Ricardo et al.2019 · 167 citationsScientific reports. 2018;8(1):11258
Segmentation of Myelin-like Signals on Clinical MR Images for Age Estimation in Preterm Infants10.1101/357749v1 · Deprez, M., Wang, S., Ledig, C. et al.2018 · 2 citationsbioRxiv
Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier.29922145 · Tolonen, Antti, Rhodius-Meester, Hanneke F M, Bruun, Marie et al.2022 · 43 citationsFrontiers in aging neuroscience. 2018;10:111
Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging.29182625 · Ledig, Christian, Kamnitsas, Konstantinos, Koikkalainen, Juha et al.2017 · 29 citationsPloS one. 2017;12(11):e0188152
Employing Weak Annotations for Medical Image Analysis Problems1708.06297v1 · Martin Rajchl, Lisa M. Koch, Christian Ledig et al.2017 · 11 citationsarXiv
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize1707.02937v1 · Andrew Aitken, Christian Ledig, Lucas Theis et al.2017 · 137 citationsarXiv
Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting.28664032 · Tong, Tong, Ledig, Christian, Guerrero, Ricardo et al.2018 · 54 citationsNeuroImage. Clinical. 2017;15:613-624
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks1612.08894v1 · Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig et al.2016 · 528 citationsarXiv
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation1611.05250v2 · Jose Caballero, Christian Ledig, Andrew Aitken et al.2016 · 796 citationsarXiv
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.27865153 · Kamnitsas, Konstantinos, Ledig, Christian, Newcombe, Virginia F J et al.2018 · 3,495 citationsMedical image analysis. 2017;36:61-78
Is the deconvolution layer the same as a convolutional layer?1609.07009v1 · Wenzhe Shi, Jose Caballero, Lucas Theis et al.2016 · 113 citationsarXiv
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network1609.04802v5 · Christian Ledig, Lucas Theis, Ferenc Huszar et al.2016 · 13,045 citationsarXivon Valency
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.27475911 · Maier, Oskar, Menze, Bjoern H, von der Gablentz, Janina et al.2018 · 526 citationsMedical image analysis. 2017;35:250-269
Instantiated mixed effects modeling of Alzheimer's disease markers.27381077 · Guerrero, R, Schmidt-Richberg, A, Ledig, C et al.2018 · 51 citationsNeuroImage. 2016;142:113-125
Learning Biomarker Models for Progression Estimation of Alzheimer's Disease.27096739 · Schmidt-Richberg, Alexander, Ledig, Christian, Guerrero, Ricardo et al.2016 · 34 citationsPloS one. 2016;11(4):e0153040
A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.27046891 · Tong, Tong, Gao, Qinquan, Guerrero, Ricardo et al.2017 · 162 citationsIEEE transactions on bio-medical engineering. 2017;64(1):155-165
Differential diagnosis of neurodegenerative diseases using structural MRI data.27104138 · Koikkalainen, Juha, Rhodius-Meester, Hanneke, Tolonen, Antti et al.2016 · 193 citationsNeuroImage. Clinical. 2016;11:435-449
Correction: Brain Extraction Using Label Propagation and Group Agreement: Pincram.26267800 · Heckemann, Rolf A, Ledig, Christian, Gray, Katherine R et al.2015 · 6 citationsPloS one. 2015;10(8):e0135746
Brain Extraction Using Label Propagation and Group Agreement: Pincram.26161961 · Heckemann, Rolf A, Ledig, Christian, Gray, Katherine R et al.2016 · 57 citationsPloS one. 2015;10(7):e0129211
Dynamic Changes in White Matter Abnormalities Correlate With Late Improvement and Deterioration Following TBI: A Diffusion Tensor Imaging Study.25921349 · Newcombe, Virginia F J, Correia, Marta M, Ledig, Christian et al.2016 · 77 citationsNeurorehabilitation and neural repair. 2016;30(1):49-62
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge.25652394 · Bron, Esther E, Smits, Marion, van der Flier, Wiesje M et al.2016 · 352 citationsNeuroImage. 2015;111:562-79
Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.26221689 · Schmidt-Richberg, Alexander, Guerrero, Ricardo, Ledig, Christian et al.2015 · 20 citationsInformation processing in medical imaging : proceedings of the ... conference. 2015;24:387-98
Robust whole-brain segmentation: application to traumatic brain injury.25596765 · Ledig, Christian, Heckemann, Rolf A, Hammers, Alexander et al.2015 · 166 citationsMedical image analysis. 2015;21(1):40-58
Multi-atlas segmentation with augmented features for cardiac MR images.25299433 · Bai, Wenjia, Shi, Wenzhe, Ledig, Christian et al.2015 · 159 citationsMedical image analysis. 2015;19(1):98-109
Automatic whole brain MRI segmentation of the developing neonatal brain.24816548 · Makropoulos, Antonios, Gousias, Ioannis S, Ledig, Christian et al.2015 · 381 citationsIEEE transactions on medical imaging. 2014;33(9):1818-31
Automatic quantification of normal cortical folding patterns from fetal brain MRI.24473102 · Wright, R, Kyriakopoulou, V, Ledig, C et al.2014 · 134 citationsNeuroImage. 2014;91:21-32
Multi-atlas spectral PatchMatch: application to cardiac image segmentation.25333137 · Shi, Wenzhe, Lombaert, Herve, Bai, Wenjia et al.2014 · 14 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2014;17(Pt 1):348-55
A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.23934663 · Deligianni, Fani, Varoquaux, Gael, Thirion, Bertrand et al.2017 · 29 citationsIEEE transactions on medical imaging. 2013;32(12):2200-14
Cardiac image super-resolution with global correspondence using multi-atlas patchmatch.24505738 · Shi, Wenzhe, Caballero, Jose, Ledig, Christian et al.2014 · 242 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2013;16(Pt 3):9-16
Career total: 91 works. 50 are in this corpus.
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