| 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 | 145 | 2020 |
| Mapping visual features to semantic profiles for retrieval in medical imaging J Hofmanninger, G Langs Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 47 | 2015 |
| Machine learning: from radiomics to discovery and routine G Langs, S Röhrich, J Hofmanninger, F Prayer, J Pan, C Herold, H Prosch Der Radiologe 58 (1), 1-6, 2018 | 45 | 2018 |
| Volumetry based biomarker speed of growth: Quantifying the change of total tumor volume in whole-body magnetic resonance imaging over time improves risk stratification of … M Wennmann, L Kintzelé, M Piraud, BH Menze, T Hielscher, ... Oncotarget 9 (38), 25254, 2018 | 15 | 2018 |
| Unsupervised identification of clinically relevant clusters in routine imaging data J Hofmanninger, M Krenn, M Holzer, T Schlegl, H Prosch, G Langs International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 15 | 2016 |
| Artificial intelligence in lung imaging F Prayer, S Röhrich, J Pan, J Hofmanninger, G Langs, H Prosch Der Radiologe 60 (1), 42-47, 2020 | 14 | 2020 |
| Heterogeneity and matching of ventilation and perfusion within anatomical lung units in rats RW Glenny, C Bauer, J Hofmanninger, WJ Lamm, MA Krueger, ... Respiratory physiology & neurobiology 189 (3), 594-606, 2013 | 14 | 2013 |
| Variability of computed tomography radiomics features of fibrosing interstitial lung disease: A test-retest study F Prayer, J Hofmanninger, M Weber, D Kifjak, A Willenpart, J Pan, ... Methods 188, 98-104, 2021 | 13 | 2021 |
| Effects of individualized electrical impedance tomography and image reconstruction settings upon the assessment of regional ventilation distribution: Comparison to 4 … F Thürk, S Boehme, D Mudrak, S Kampusch, A Wielandner, H Prosch, ... PloS one 12 (8), e0182215, 2017 | 13 | 2017 |
| Dynamic memory to alleviate catastrophic forgetting in continuous learning settings J Hofmanninger, M Perkonigg, JA Brink, O Pianykh, C Herold, G Langs International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 12 | 2020 |
| Forian Prayer, Jeanny Pan, Sebastian Röhrich, Helmut Prosch, and Georg Langs. Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a … J Hofmanninger European Radiology Experimental 4 (1), 1-13, 2020 | 11 | 2020 |
| Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging M Perkonigg, J Hofmanninger, CJ Herold, JA Brink, O Pianykh, H Prosch, ... Nature Communications 12 (1), 1-12, 2021 | 6 | 2021 |
| Prospects and challenges of radiomics by using nononcologic routine chest CT S Röhrich, J Hofmanninger, F Prayer, H Müller, H Prosch, G Langs Radiology: Cardiothoracic Imaging 2 (4), 2020 | 6 | 2020 |
| Künstliche Intelligenz in der Bildgebung der Lunge F Prayer, S Röhrich, J Pan, J Hofmanninger, G Langs, H Prosch Der Radiologe 60 (1), 42-47, 2020 | 5 | 2020 |
| Asymmetric cascade networks for focal Bone lesion prediction in multiple myeloma R Licandro, J Hofmanninger, M Perkonigg, S Röhrich, MA Weber, ... arXiv preprint arXiv:1907.13539, 2019 | 4 | 2019 |
| Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma S Röhrich, J Hofmanninger, L Negrin, G Langs, H Prosch European Radiology 31 (8), 5443-5453, 2021 | 3 | 2021 |
| Continual active learning for efficient adaptation of machine learning models to changing image acquisition M Perkonigg, J Hofmanninger, G Langs International Conference on Information Processing in Medical Imaging, 649-660, 2021 | 2 | 2021 |
| Machine learning in radiology: terminology from individual timepoint to trajectory G Langs, U Attenberger, R Licandro, J Hofmanninger, M Perkonigg, ... Der Radiologe 60 (1), 6-14, 2020 | 2 | 2020 |
| Maschinelles Lernen in der Radiologie G Langs, U Attenberger, R Licandro, J Hofmanninger, M Perkonigg, ... Der Radiologe 60 (1), 6-14, 2020 | 2 | 2020 |
| Predicting future bone infiltration patterns in multiple myeloma R Licandro, J Hofmanninger, MA Weber, B Menze, G Langs International Workshop on Patch-based Techniques in Medical Imaging, 76-84, 2018 | 2 | 2018 |
Georg LangsMedical University of Vienna, CIR LabVerified email at meduniwien.ac.at
