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ORCIDJohannes Hofmanninger
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2020 – today
- 2021
[c7]Matthias Perkonigg
, Johannes Hofmanninger, Georg Langs:
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. IPMI 2021: 649-660- [i5]Matthias Perkonigg, Johannes Hofmanninger, Georg Langs:
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. CoRR abs/2106.03351 (2021) - [i4]Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, Helmut Prosch, Georg Langs:
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics. CoRR abs/2111.13069 (2021) - 2020
- [c6]Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings. MICCAI (2) 2020: 359-368 - [i3]Johannes Hofmanninger, Florian Prayer, Jeanny Pan, Sebastian Rohrich, Helmut Prosch, Georg Langs:
Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem. CoRR abs/2001.11767 (2020) - [i2]Johannes Hofmanninger, Sebastian Röhrich, Helmut Prosch, Georg Langs:
Separation of target anatomical structure and occlusions in chest radiographs. CoRR abs/2002.00751 (2020) - [i1]Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs:
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings. CoRR abs/2007.02639 (2020)
2010 – 2019
- 2018
- [c5]Matthias Perkonigg, Johannes Hofmanninger, Björn H. Menze, Marc-André Weber, Georg Langs:
Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning. DATRA/PIPPI@MICCAI 2018: 22-30 - [c4]Roxane Licandro, Johannes Hofmanninger, Marc-André Weber, Björn H. Menze, Georg Langs:
Predicting Future Bone Infiltration Patterns in Multiple Myeloma. Patch-MI@MICCAI 2018: 76-84 - 2017
- [c3]Johannes Hofmanninger, Bjoern H. Menze, Marc-André Weber, Georg Langs:
Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates. DLMIA/ML-CDS@MICCAI 2017: 341-348 - 2016
- [c2]Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs:
Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data. MICCAI (1) 2016: 192-200 - 2015
- [c1]Johannes Hofmanninger, Georg Langs:
Mapping visual features to semantic profiles for retrieval in medical imaging. CVPR 2015: 457-465
Coauthor Index
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