Johannes Hofmanninger

12 papers A* 1Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics. CoRR Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, Helmut Prosch, Georg Langs
2021	—	`conf`	Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. IPMI Matthias Perkonigg, Johannes Hofmanninger, Georg Langs
2021	J	`jnl`	Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. CoRR Matthias Perkonigg, Johannes Hofmanninger, Georg Langs
2020	J	`jnl`	Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem. CoRR Johannes Hofmanninger, Florian Prayer, Jeanny Pan, Sebastian Rohrich, Helmut Prosch, Georg Langs
2020	—	`conf`	Dynamic Memory to Alleviate Catastrophic Forgetting in Continuous Learning Settings. MICCAI (2) Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs
2020	J	`jnl`	Dynamic memory to alleviate catastrophic forgetting in continuous learning settings. CoRR Johannes Hofmanninger, Matthias Perkonigg, James A. Brink, Oleg S. Pianykh, Christian Herold, Georg Langs
2020	J	`jnl`	Separation of target anatomical structure and occlusions in chest radiographs. CoRR Johannes Hofmanninger, Sebastian Röhrich, Helmut Prosch, Georg Langs
2018	—	`conf`	Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning. DATRA/PIPPI@MICCAI Matthias Perkonigg, Johannes Hofmanninger, Björn H. Menze, Marc-André Weber, Georg Langs
2018	—	`conf`	Predicting Future Bone Infiltration Patterns in Multiple Myeloma. Patch-MI@MICCAI Roxane Licandro, Johannes Hofmanninger, Marc-André Weber, Björn H. Menze, Georg Langs
2017	—	`conf`	Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates. DLMIA/ML-CDS@MICCAI Johannes Hofmanninger, Bjoern H. Menze, Marc-André Weber, Georg Langs
2016	—	`conf`	Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data. MICCAI (1) Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs
2015	A*	`conf`	Mapping visual features to semantic profiles for retrieval in medical imaging. CVPR Johannes Hofmanninger, Georg Langs