Johannes Hofmanninger

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 11

Top Topics

Image Acquisition

Chest Radiographs

Active Learning

Captured Images

Top Venues

DATRA/PIPPI@MICCAI

DLMIA/ML-CDS@MICCAI

Publications

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 (2021)
Matthias Perkonigg, Johannes Hofmanninger, Georg Langs
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. CoRR (2021)
Matthias Perkonigg, Johannes Hofmanninger, Georg Langs
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. IPMI (2021)
Johannes Hofmanninger, Sebastian Röhrich, Helmut Prosch, Georg Langs
Separation of target anatomical structure and occlusions in chest radiographs. CoRR (2020)
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)
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 (2020)
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 (2020)
Roxane Licandro, Johannes Hofmanninger, Marc-André Weber, Björn H. Menze, Georg Langs
Predicting Future Bone Infiltration Patterns in Multiple Myeloma. Patch-MI@MICCAI (2018)
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)
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)
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)
Johannes Hofmanninger, Georg Langs
Mapping visual features to semantic profiles for retrieval in medical imaging. CVPR (2015)