Johannes Hofmanninger
Johannes Hofmanninger
Research Associate, Medical University of Vienna
Geverifieerd e-mailadres voor meduniwien.ac.at - Homepage
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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), 1-13, 2020
432020
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
372015
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
272018
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
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
132013
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
122017
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
82018
Artificial intelligence in lung imaging
F Prayer, S Röhrich, J Pan, J Hofmanninger, G Langs, H Prosch
Der Radiologe 60 (1), 42-47, 2020
62020
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
32021
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
32020
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
22020
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
22019
Report on results of the second evaluation phase
R Donner, J Hofmanninger, T Schlegl, L Dolamic, C Boyer, D Markonis, ...
Deliverable d2 7, 0
2
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
12020
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
12020
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
12018
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
12018
Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates
J Hofmanninger, B Menze, MA Weber, G Langs
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
12017
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, 1-11, 2021
2021
Separation of target anatomical structure and occlusions in chest radiographs
J Hofmanninger, S Röhrich, H Prosch, G Langs
arXiv preprint arXiv:2002.00751, 2020
2020
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Artikelen 1–20