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- 2025
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Mark
Diffusion Models: A Survey and Their Role in Limited Data Scenarios
- Master (Two yrs)
- 2021
-
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)
-
Mark
Using Machine Learning to Detect Grapevine Disease in Wine Production
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
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)
- 2020
-
Mark
Blood Cell Data Augmentation using Deep Learning Methods
(2020) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2019
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Mark
Exploring Object Detection and Recognition Methods for Automated Book Inventory
(2019) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2018
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Mark
Synthesizing Training Data for Object Detection Using Generative Adversarial Networks
(2018) In Master's Theses in Mathematical Sciences FMAM05 20182
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2017
-
Mark
Data Augmentation by Using Object Shape Reconstruction
(2017) In Master's Theses in Mathematical Sciences FMA820 20171
Mathematics (Faculty of Engineering)- Master (Two yrs)