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Johannes Hofmanninger
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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, 1-13, 2020
408*2020
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 (Suppl 1), 1-6, 2018
722018
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
522015
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), 5678, 2021
462021
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
222021
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
J Hofmanninger, M Perkonigg, JA Brink, O Pianykh, C Herold, G Langs
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
212020
Artificial intelligence in lung imaging
F Prayer, S Röhrich, J Pan, J Hofmanninger, G Langs, H Prosch
Der Radiologe 60, 42-47, 2020
192020
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
182018
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
172017
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
162021
Unsupervised identification of clinically relevant clusters in routine imaging data
J Hofmanninger, M Krenn, M Holzer, T Schlegl, H Prosch, G Langs
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
162016
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
162013
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, 5443-5453, 2021
142021
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), e190190, 2020
112020
Unsupervised machine learning identifies predictive progression markers of IPF
J Pan, J Hofmanninger, KH Nenning, F Prayer, S Röhrich, N Sverzellati, ...
European Radiology 33 (2), 925-935, 2023
102023
Künstliche Intelligenz in der Bildgebung der Lunge.
F Prayer, S Röhrich, J Pan, J Hofmanninger, G Langs, H Prosch
Der Radiologe 60 (1), 2020
92020
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
52020
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
52019
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
52018
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
32021
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Articles 1–20