Publications MA MSc J. Sander
- Positions
- PhD Candidate, Other Academic Staff
- Main activities
- Research
- Specialisation
- Dynamic deep learning applied to functional analysis of cardiac MRI
- Focus of research
We develop a framework for dynamic deep learning. This system can learn continuously from feedback from experts. It can learn easy concepts first and gradually learn complex tasks after having seen more data. The network will express its uncertainty and ask for feedback on cases it is uncertain about or has not seen before.
Amsterdam UMC Research Institutes
AMC departments
All publications
2020
- Sander Jorg, de Vos Bob D., Išgum Ivana Automatic segmentation with detection of local segmentation failures in cardiac MRI Scientific reports 2020;10 (1) [PubMed]
- de Vos Bob D., van der Velden Bas H. M., Sander Jorg, Gilhuijs Kenneth G. A., Staring Marius, Išgum Ivana Mutual information for unsupervised deep learning image registrationin: Ivana Isgum, Bennett A. Landman, editors. Medical Imaging 2020. SPIE; 2020.