| CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation AE Kavur, NS Gezer, M Barış, S Aslan, PH Conze, V Groza, DD Pham, ... Medical Image Analysis 69, 101950, 2021 | 137 | 2021 |
| 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 | 13 | 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 | 9 | 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 | 4 | 2021 |
| 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 |
| Unsupervised deep clustering for predictive texture pattern discovery in medical images M Perkonigg, D Sobotka, A Ba-Ssalamah, G Langs arXiv preprint arXiv:2002.03721, 2020 | 3 | 2020 |
| 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 |
| Detecting bone lesions in multiple myeloma patients using transfer learning M Perkonigg, J Hofmanninger, B Menze, MA Weber, G Langs Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018 | 2 | 2018 |
| Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics M Perkonigg, J Hofmanninger, C Herold, H Prosch, G Langs arXiv preprint arXiv:2111.13069, 2021 | | 2021 |
| Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies M Perkonigg, P Mesenbrink, A Goehler, M Martic, A Ba-Ssalamah, ... arXiv preprint arXiv:2111.07634, 2021 | | 2021 |
| Maschinelles Lernen in der Radiologie: Begriffsbestimmung vom Einzelzeitpunkt bis zur Trajektorie. G Langs, U Attenberger, R Licandro, J Hofmanninger, M Perkonigg, ... Der Radiologe 60 (1), 2020 | | 2020 |
| Convolutional neural networks for bone lesion detection in medical imaging data M Perkonigg Wien, 2018 | | 2018 |
Georg LangsMedical University of Vienna, CIR LabVerified email at meduniwien.ac.at
