The University of Oslo is closed. The PhD defence and trial lecture will therefore be fully digital and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the audience to ask ex auditorio questions either written or oral. This can be requested by clicking 'Participants -> Raise hand'.
Tid: 2. juli 2021, 10:00 am
Title: Strain and deformation estimation in cardiac imaging: current and emerging frameworks
Main research findings
- Cardiovascular ultrasound imaging (echocardiography) is the primary imaging modality used to assess cardiac morphology and function. However, many clinics are facing an increased workload due to both increased number of patients from aging populations, and standard imaging protocols expanding as more imaging and quantification techniques become mainstream. Deep learning is a sub-field of artificial intelligence which can provide automated sophisticated analysis of natural images, offering the potential to address these demands. This thesis describes methods for applying deep learning to enable better workflows in echocardiography. Specifically, algorithms to improve the efficiency of measurements, workflows, and synthetic data generation are described. Results show the proposed techniques are effective and accurate and can be applied to increase the standard of care in clinics.
- Assistant Professor Maja Cikes, University Hospital Center Zagreb, Croatia
- Associate Professor Nicholas Duchateau, Université Lyon 1, France
- Associate Professor Sven Peter Näsholm, Department of Informatics, University of Oslo, Norway
- Professor Eigil Samset, Department of Informatics, University of Oslo Norway
- Dr. Kristin Kristin Sarah McLeod, Digital Manager at GE Healthcare Cardiovascular Ultrasound
- Senior Researcher Pablo Lamata, Kings College London
Chair of defence
- Professor Andreas Austeng, Department of Informatics, UiO
Contact information to Department: Mozhdeh Sheibani Harat