Eigil Samset

Eigil Samset is a Professor II in the Department of Informatics at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. He is a key member of the Digital Signal Processing and Image Analysis (DSB) research group and contributes to the Strategic Research Initiative MEDIMA (Multimodal Medical Imaging and Image Analysis). His work is also associated with the INIUS (Intelligent Image-Guided Surgery) project, reflecting his strong focus on translational research in medical imaging.

His research interests span artificial intelligence, deep learning, medical image analysis, echocardiography, and image-guided surgery. He specializes in developing advanced computational methods for cardiac ultrasound, including automated segmentation, motion tracking, and 3D/4D reconstruction. His work bridges computer science and clinical cardiology, aiming to improve diagnostic accuracy and procedural guidance.

The recent publications show a consistent trend in applying deep learning to automate measurements in echocardiography, such as left ventricular strain, outflow tract diameter, and chamber segmentation. There is also a strong emphasis on biomechanical modeling, image fusion (e.g., ultrasound with fluoroscopy or CT), and real-time visualization for surgical applications. His work frequently appears in high-impact journals in medical imaging and biomedical engineering.

He has advised or collaborated closely with numerous researchers and students, as evidenced by his frequent senior authorship on publications involving PhD candidates and postdocs. His research is supported by institutional affiliations and collaborative projects rather than individual grant mentions in the provided text.

He is actively contributing to the field, with recent work in 2024, and maintains an academic email at the University of Oslo. There is no indication of retirement or emeritus status.