| 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 | 1783 | 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 | 1049 | 2016 |
| 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 | 696 | 2019 |
| 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 | 627 | 2019 |
| 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 | 366 | 2015 |
| 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 | 363 | 2018 |
| Introduction to radiomics ME Mayerhoefer, A Materka, G Langs, I Häggström, P Szczypiński, ... Journal of Nuclear Medicine 61 (4), 488-495, 2020 | 330 | 2020 |
| 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 | 229 | 2006 |
| Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem J Hofmanninger, F Prayer, J Pan, S Röhrich, H Prosch, G Langs European Radiology Experimental 4 (1), 1-13, 2020 | 202 | 2020 |
| 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 | 198 | 2018 |
| 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 | 183 | 2011 |
| BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets R Vos de Wael, O Benkarim, C Paquola, S Lariviere, J Royer, S Tavakol, ... Communications biology 3 (1), 1-10, 2020 | 171 | 2020 |
| 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 | 171 | 2016 |
| 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 | 138 | 2015 |
| 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 | 131 | 2017 |
| 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 | 127 | 2018 |
| 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 | 119 | 2013 |
| 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 | 111 | 2014 |
| 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 | 101 | 2012 |
| Cross-species functional alignment reveals evolutionary hierarchy within the connectome T Xu, KH Nenning, E Schwartz, SJ Hong, JT Vogelstein, A Goulas, ... NeuroImage, 117346, 2020 | 97 | 2020 |
Sebastian M. WaldsteinOphthalmology, Landesklinikum Mistelbach-GänserndorfVerified email at meduniwien.ac.at
