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- 2021
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Mark
A deep learning approach for predicting outcomes of triple-negative breast cancer
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20202
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Detecting Nucleated Cells in Bone Marrow Smears 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
AI-Driven Meal Planning in the FoodTech Industry: A Reinforcement Learning Approach
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Analysing the quality of PlaneRCNN plane parameters using a structure from motion system
(2021) In Master's Theses in Mathematical Sciences FMAM05 20202
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Minimal Deformation Methods for Loop Closure
(2021) In Master's Theses in Mathematical Sciences FMAM05 20202
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
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
Learned Multi-Sensor Indoor Positioning of Mobile Devices
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Identifying obstacles and key measurements of roof surfaces using a digital surface model and an orthomosaic
(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)