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Medviso Career

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Master thesis project

We are open to master thesis student projects. Please contact Einar Heiberg to discuss possibilities with us. We are looking for talented students typically interested in medical image processing. You should have a good experience in Matlab and be a team player. Check out our archive of finished projects below.

Master thesis projects will be associated with Medviso as well as Lund Cardiac MR Group and 3D Centre at Skåne University Hospital. Thesis works are typically formally enlisted either at the Centre of Mathematical Science or the Department of Biomedical Engineering.

2026Elisabeth Dierschke Passikhani, Julia NilssonDetection and tracking of the mitral and tricuspid valve for 4D flow analysis
2026Axel Jensen, Fredrik HasselbergQuantitative flow components in 4D Flow MRI
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
2018Anton HolmDeep Learning Algorithms for Cardiac Image Classification and Landmark Detection
2017Mattias NilssonMyocardial Segmentation in MR Images Using Convolutional Neural Networks
2016Gabriella GleisnerSemi-Automatic Segmentation of the Right Ventricle in MR Images
2016Anja LemicSemi-Automatic Segmentation of Coronary Arteries in CT Images
2016Andreas SöderlundPatient-specific blood vessel modeling on data from MR scans of children with congenital heart disease
2015Jesper ÖbergSegmentation of the right ventricle in cardiac CT images
2013Sebastian BidhultVessel segmentation for time resolved phase contrast MRI
2013Peter ÖbergSegmentation of the cardiovascular tree in 4D from PC-MRI images
2013Felicia SeemannImprovements to Quantification Algorithms for Myocardial Infarction in CMR Images – Validation in Human and Animal Studies
2012Daniel SvenssonAutomatic registration of myocardial perfusion images
2011Andreas AnderssonAutomatic identification of vortex cores in the three dimensional blood flow in the human heart
2010Johannes UlénVisualizing cardiac blood flow using lagrangian coherent structures
2009Peter HolmqvistOptimization of automatic segmentation algorithms for cardiovascular magnetic resonance imaging
2009Mårten LarssonQuantitation of Kinetic Energy of Blood in the Heart using Magnetic Resonance Imaging
2008Johannes TögerVolume Tracking – A novel method for flow visualization
2008Jane SjögrenPrototype-based image segmentation
2007Helen SonesonStrain in the normal human heart assessed by velocity encoded MRI