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.

 
2025 Emma Friberg, Edvin Andersson Quantitative Myocardial Perfusion from Cardiovascular Magnetic Resonance Images
2024 Rasmus Sobel Object Separation in CT Images Using Random Walk
2023 Arthur Barakat Simulating Metal CT Artefacts for Ground Truth Generation in Deep Learning.
2022 Mathilda Dahlström Automatic 3D Segmentation in CT Images of Congenital Heart Defects Using Deep Learning
2021 Ruben Bergengrip Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
2021 Filip Winzell, Andreas Brennström Automated 3D Bone Segmentation Using Deep Learning in Scoliosis
2021 Amanda Nilsson Quantication of Fetal Volume in Magnetic Resonance Images Using Deep Learning
2020 Julius Åkesson Automated Bone Segmentation in Computed Tomography Using Deep Learning With Distance Maps
2020 Jonathan Andersson Design of 3D-printed Cranioplasty Moulds Using Neural Network
2019 Ricardo Gonzales Automatic Left Atrial Time-Resolved Segmentation in CMR Long-axis Cine Images Via Active Contours
2019 Magnus Caspersen Automated Location of the Left Ventricle in Computed Tomography Using Deep Learning
2019 Lisa Wikman Automated Identification of Calcium in Mitral and Aortic Valves
2019 Caroline Skyborn Patient-Specific 3D Printed Guides for Corrective Osteotomies of Malunited Radius
2018 Patrik Rosendal Skull Reconstruction Using Statistical Shape Models
2018 Anton Holm Deep Learning Algorithms for Cardiac Image Classification and Landmark Detection
2017 Mattias Nilsson Myocardial Segmentation in MR Images Using Convolutional Neural Networks
2016 Gabriella Gleisner Semi-Automatic Segmentation of the Right Ventricle in MR Images
2016 Anja Lemic Semi-Automatic Segmentation of Coronary Arteries in CT Images
2016 Andreas Söderlund Patient-specific blood vessel modeling on data from MR scans of children with congenital heart disease
2015 Jesper Öberg Segmentation of the right ventricle in cardiac CT images
2013 Sebastian Bidhult Vessel segmentation for time resolved phase contrast MRI
2013 Peter Öberg Segmentation of the cardiovascular tree in 4D from PC-MRI images
2013 Felicia Seemann Improvements to Quantification Algorithms for Myocardial Infarction in CMR Images – Validation in Human and Animal Studies
2012 Daniel Svensson Automatic registration of myocardial perfusion images
2011 Andreas Andersson Automatic identification of vortex cores in the three dimensional blood flow in the human heart
2010 Johannes Ulén Visualizing cardiac blood flow using lagrangian coherent structures
2009 Peter Holmqvist Optimization of automatic segmentation algorithms for cardiovascular magnetic resonance imaging
2009 Mårten Larsson Quantitation of Kinetic Energy of Blood in the Heart using Magnetic Resonance Imaging
2008 Johannes Töger Volume Tracking – A novel method for flow visualization
2008 Jane Sjögren Prototype-based image segmentation
2007 Helen Soneson Strain in the normal human heart assessed by velocity encoded MRI