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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
Domain Adaptation for Combined CT and CBCT Deep Learning Segmentation
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision
- Master (Two yrs)
- 2020
-
Mark
Real-world low-light image enhancement using Variational Autoencoders
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
A Novel Perceptual Metric in Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2019
-
Mark
Assessment of machine learning methods for the classification and weight estimation of meals
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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