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- 2021
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Mark
Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Non-Rigid Volume Registration For DCE-MRI Using Deep Learning
(2021) In Master's Theses in Mathematical Sciences FMAM05 20202
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Automated 3D Bone Segmentation using Deep Learning in Scoliosis
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Self-supervised monocular depth estimation for dynamic scenes
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Using transfer learning on 2D skeleton-based action recognition networks to improve performance on data from previously unseen camera angles
(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
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
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
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
Symbolic Regression using Genetic Programming Leveraging Neural Information Processing
(2021) In Master's Theses in Mathematical Sciences FMAM05 20202
Mathematics (Faculty of Engineering)- Master (Two yrs)