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- 2021
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Mark
Quantification of Fetal Volume in Magnetic Resonance Images Using Deep Learning
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2020
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Mark
Semi-Supervised Medical Image Segmentation with Equivariance Regularization
(2020) In Master’s Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2018
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Mark
Assessment of hemodynamic parameters using 4D Flow MRI
(2018) In Master’s Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Myocardial Segmentation in MR images using fully Convolutional Neural Networks
- Master (Two yrs)
- 2017
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Mark
Detectability of fiducial markers in an MRI-only radiotherapy treatment workflow for prostate
- Bach. Degree
- 2011
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Mark
Improved analysis of MRI tractography data: Group comparisons of parameters along fibre tracks
- Master (Two yrs)
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Mark
Diffusion Tensor Imaging in the Cervical Spinal Cord: Implementing methods for acquisition, processing and evaluation
- Master (Two yrs)
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Mark
Perfusion MRI: Non-Linear Stochastic Regularization for Deconvolution of Model-Free Arterial Spin Labelling Data
- Master (Two yrs)