Georg Langs
TitleCited byYear
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery
T Schlegl, P Seeböck, SM Waldstein, U Schmidt-Erfurth, G Langs
International Conference on Information Processing in Medical Imaging, 146-157, 2017
Situating the default-mode network along a principal gradient of macroscale cortical organization
DS Margulies, SS Ghosh, A Goulas, M Falkiewicz, JM Huntenburg, ...
Proceedings of the National Academy of Sciences 113 (44), 12574-12579, 2016
Fast active appearance model search using canonical correlation analysis
R Donner, M Reiter, G Langs, P Peloschek, H Bischof
Pattern Analysis and Machine Intelligence, IEEE Transactions on 28 (10 …, 2006
Parcellating cortical functional networks in individuals
D Wang, RL Buckner, MD Fox, DJ Holt, AJ Holmes, S Stoecklein, G Langs, ...
Nature neuroscience 18 (12), 1853, 2015
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014
C Wachinger, P Golland, M Reuter
Springer, 2014
The prenatal origin of hemispheric asymmetry: an in utero neuroimaging study
G Kasprian, G Langs, PC Brugger, M Bittner, M Weber, M Arantes, ...
Cerebral Cortex 21 (5), 1076-1083, 2010
Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization
R Donner, BH Menze, H Bischof, G Langs
Medical image analysis 17 (8), 1304-1314, 2013
Fully automated detection and quantification of macular fluid in OCT using deep learning
T Schlegl, SM Waldstein, H Bogunovic, F Endstraßer, A Sadeghipour, ...
Ophthalmology 125 (4), 549-558, 2018
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks
O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ...
IEEE transactions on medical imaging 35 (11), 2459-2475, 2016
VISCERAL: towards large data in medical imaging—challenges and directions
G Langs, A Hanbury, B Menze, H Müller
MICCAI international workshop on medical content-based retrieval for …, 2012
3D and infrared face reconstruction from RGB data using canonical correlation analysis
M Reiter, R Donner, G Langs, H Bischof
18th International Conference on Pattern Recognition (ICPR'06) 1, 425-428, 2006
Predicting semantic descriptions from medical images with convolutional neural networks
T Schlegl, SM Waldstein, WD Vogl, U Schmidt-Erfurth, G Langs
International Conference on Information Processing in Medical Imaging, 437-448, 2015
A survey on visual information search behavior and requirements of radiologists
D Markonis, M Holzer, S Dungs, A Vargas, G Langs, S Kriewel, H Müller
Methods of information in Medicine 51 (06), 539-548, 2012
Vision pyramids that do not grow too high
WG Kropatsch, Y Haxhimusa, Z Pizlo, G Langs
Pattern Recognition Letters 26 (3), 319-337, 2005
Bringing the algorithms to the data: cloud–based benchmarking for medical image analysis
A Hanbury, H Müller, G Langs, MA Weber, BH Menze, TS Fernandez
International Conference of the Cross-Language Evaluation Forum for European …, 2012
Automatic quantification of joint space narrowing and erosions in rheumatoid arthritis
G Langs, P Peloschek, H Bischof, F Kainberger
Medical Imaging, IEEE Transactions on 28 (1), 151-164, 2009
Fetal functional imaging portrays heterogeneous development of emerging human brain networks
A Jakab, E Schwartz, G Kasprian, GM Gruber, D Prayer, V Schöpf, ...
Frontiers in human neuroscience 8, 852, 2014
Shape priors and discrete mrfs for knowledge-based segmentation
A Besbes, N Komodakis, G Langs, N Paragios
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1295-1302, 2009
An Automatic Model-based System for Joint Space Measurements on Hand Radiographs: Initial Experience1
P Peloschek, G Langs, M Weber, J Sailer, M Reisegger, H Imhof, ...
Radiology 245 (3), 855, 2007
Diffusion-weighted imaging for the follow-up of patients after matrix-associated autologous chondrocyte transplantation
KM Friedrich, TC Mamisch, C Plank, G Langs, S Marlovits, ...
European journal of radiology 73 (3), 622-628, 2010
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Articles 1–20