2 papers
cs.CV2021
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
Matthias Perkonigg, Johannes Hofmanninger, Christian Herold +2
Machine learning in medical imaging during clinical routine is impaired by changes in scanner protocols, hardware, or policies resulting in a heterogeneous set of acquisition setti…
cs.LG2020
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
Johannes Hofmanninger, Matthias Perkonigg, James A. Brink +3
In medical imaging, technical progress or changes in diagnostic procedures lead to a continuous change in image appearance. Scanner manufacturer, reconstruction kernel, dose, other…