Research output per year
Research output per year
Personal profile
specialisation
Dynamic deep learning applied to functional analysis of cardiac MRI
Research interests
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.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Assessing anatomy and function of the heart using 4D cardiac MRI and deep learning
Sander, J., 2023, 195 p.Research output: PhD Thesis › Phd-Thesis - Research and graduation internal
Open Access -
Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy
Bourfiss, M., Sander, J., de Vos, B. D., te Riele, A. S. J. M., Asselbergs, F. W., Išgum, I. & Velthuis, B. K., Mar 2023, In: Clinical research in cardiology. 112, 3, p. 363-378 16 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access1 Citation (Scopus) -
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI
Sander, J., de Vos, B. D. & Išgum, I., 1 May 2022, In: Medical Image Analysis. 78, 102393.Research output: Contribution to journal › Article › Academic › peer-review
Open Access5 Citations (Scopus) -
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Sander, J., de Vos, B. D., Išgum, I. & Sander, J., 10 Dec 2020, In: Scientific reports. 10, 1, p. 21769 21769.Research output: Contribution to journal › Article › Academic › peer-review
Open Access30 Citations (Scopus) -
Mutual information for unsupervised deep learning image registration
de Vos, B. D., van der Velden, B. H. M., Sander, J., Gilhuijs, K. G. A., Staring, M. & Išgum, I., 2020, Medical Imaging 2020: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11313. 2549729. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
22 Citations (Scopus)