FINISHED MASTER PROJECTS

This is a list of all completed master’s thesis projects carried out in collaboration with Medviso. The results of these projects have contributed directly to the development, validation, and improvement of our software.

2025Emma Friberg, Edvin AnderssonQuantitative Myocardial Perfusion from Cardiovascular Magnetic Resonance Images
2024Rasmus SobelObject Separation in CT Images Using Random Walk
2023Arthur BarakatSimulating Metal CT Artefacts for Ground Truth Generation in Deep Learning.
2022Mathilda DahlströmAutomatic 3D Segmentation in CT Images of Congenital Heart Defects Using Deep Learning
2021Ruben BergengripAutomatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
2021Filip Winzell, Andreas BrennströmAutomated 3D Bone Segmentation Using Deep Learning in Scoliosis
2021Amanda NilssonQuantication of Fetal Volume in Magnetic Resonance Images Using Deep Learning
2020Julius ÅkessonAutomated Bone Segmentation in Computed Tomography Using Deep Learning With Distance Maps
2020Jonathan AnderssonDesign of 3D-printed Cranioplasty Moulds Using Neural Network
2019Ricardo GonzalesAutomatic Left Atrial Time-Resolved Segmentation in CMR Long-axis Cine Images Via Active Contours
2019Magnus CaspersenAutomated Location of the Left Ventricle in Computed Tomography Using Deep Learning
2019Lisa WikmanAutomated Identification of Calcium in Mitral and Aortic Valves
2019Caroline SkybornPatient-Specific 3D Printed Guides for Corrective Osteotomies of Malunited Radius
2018Patrik RosendalSkull Reconstruction Using Statistical Shape Models
2017Mattias NilssonMyocardial Segmentation in MR Images Using Convolutional Neural Networks