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- 2023
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Mark
Simulating metal ct artefacts for ground truth generation in deep learning.
- Master (Two yrs)
- 2022
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Mark
Automatic 3D Segmentation in CT images of Congenital Heart Defects using Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Augmented reality: En applikation som underlättar visningen av 3D-modeller i sjukvården
- Bach. Degree
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Mark
Machine learning framework for maxillofacial preoperative planning
- Bach. Degree
- 2021
-
Mark
Aortic Segmentation in Real-Time Flow Exercise Cardiac Magnetic Resonance Images using Convolutional Neural Networks
(2021) In Master's Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
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)
-
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
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)
- 2020
-
Mark
Automated bone segmentation in computed tomography using deep learning with distance maps
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Patient-Specific 3D Printed Guides for Corrective Osteotomies of Malunited Radius
(2020) In Master's Theses in Mathematical Sciences FMAM05 20192
Mathematics (Faculty of Engineering)- Master (Two yrs)