معرفی
Sarina Thomas is an Associate Professor in the Department of Informatics at the University of Oslo, Faculty of Mathematics and Natural Sciences. She is a key member of the Digital Signal Processing and Image Analysis (DSB) research group, where she leads research at the intersection of artificial intelligence and medical imaging. Her work focuses on developing advanced AI techniques for the automatic analysis of cardiac ultrasound images, with strong ties to clinical applications.
Her research interests include:
- Artificial Intelligence and Deep Learning
- Medical Image Analysis and Signal Processing
- Cardiovascular Imaging and Ultrasound Technology
- Automated Diagnosis and Clinical Decision Support Systems
The recent publications highlight a strong trend in applying graph convolutional networks and deep learning models to improve robustness and accuracy in cardiac segmentation and intervention planning. These works reflect a focused effort on translating AI innovations into practical tools for cardiovascular diagnostics. Her collaboration with GE Vingmed underscores the industrial and clinical relevance of her research.
Sarina Thomas has received recognition through active publication in high-impact journals such as Herz and IEEE Access.
She advises students and leads projects in AI-driven biomedical signal processing, though specific advisees are not listed. Her research is supported by collaborations with industry and clinical partners, contributing to real-world applications in cardiology.
She is actively involved in the Digital Signal Processing and Image Analysis research group, which focuses on cutting-edge methods in signal and image interpretation for healthcare applications.
.jpg)