| 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 | 784 | 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 | 519 | 2016 |
| Parcellating cortical functional networks in individuals D Wang, RL Buckner, MD Fox, DJ Holt, AJ Holmes, S Stoecklein, G Langs, ... Nature neuroscience 18 (12), 1853-1860, 2015 | 242 | 2015 |
| 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 | 222 | 2006 |
| 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 | 181 | 2018 |
| Causability and explainability of artificial intelligence in medicine A Holzinger, G Langs, H Denk, K Zatloukal, H Müller Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (4 …, 2019 | 173 | 2019 |
| 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, 2011 | 149 | 2011 |
| f-anogan: Fast unsupervised anomaly detection with generative adversarial networks T Schlegl, P Seeböck, SM Waldstein, G Langs, U Schmidt-Erfurth Medical image analysis 54, 30-44, 2019 | 141 | 2019 |
| 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 | 111 | 2016 |
| 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 | 102 | 2013 |
| The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space J Klughammer, B Kiesel, T Roetzer, N Fortelny, A Nemc, KH Nenning, ... Nature medicine 24 (10), 1611-1624, 2018 | 90 | 2018 |
| 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 | 88 | 2015 |
| 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 | 88 | 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 | 79 | 2006 |
| Prediction of anti-VEGF treatment requirements in neovascular AMD using a machine learning approach H Bogunović, SM Waldstein, T Schlegl, G Langs, A Sadeghipour, X Liu, ... Investigative Ophthalmology & Visual Science 58 (7), 3240-3248, 2017 | 71 | 2017 |
| 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 | 69 | 2014 |
| 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 | 64 | 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 | 63 | 2005 |
| 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 | 62 | 2009 |
| Machine learning to analyze the prognostic value of current imaging biomarkers in neovascular age-related macular degeneration U Schmidt-Erfurth, H Bogunovic, A Sadeghipour, T Schlegl, G Langs, ... Ophthalmology Retina 2 (1), 24-30, 2018 | 60 | 2018 |
René DonnerCTO contextflowBestätigte E-Mail-Adresse bei contextflow.com
