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cs.LG2021
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Matthias Perkonigg, Johannes Hofmanninger, Georg Langs
Imaging in clinical routine is subject to changing scanner protocols, hardware, or policies in a typically heterogeneous set of acquisition hardware. Accuracy and reliability of de…
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…