264 citations
- University of OsloNO17 papers
- UiT The Arctic University of NorwayNO16 papers
- Centre for Arctic Gas Hydrate, Environment and ClimateNO4 papers
- Heidelberg UniversityDE4 papers
- Michigan State UniversityUS3 papers
- Norwegian University of Science and TechnologyNO3 papers
- General Electric (Norway)NO2 papers
- Heidelberg Institute for Theoretical StudiesDE2 papers
- National Oceanic and Atmospheric AdministrationUS2 papers
- Norwegian Meteorological InstituteNO2 papers
- Oslo University HospitalNO2 papers
- Université Sorbonne Paris NordFR2 papers
4 papers · 1 filter
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
Eirik A. Østmo, Kristoffer K. Wickstrøm, Keyur Radiya +2
Deep learning has the potential to revolutionize medical practice by automating and performing important tasks like detecting and delineating the size and locations of cancers in m…
A Neural Network based Framework for Effective Laparoscopic Video Quality Assessment
Zohaib Amjad Khan, Azeddine Beghdadi, Mounir Kaaniche +2
Video quality assessment is a challenging problem having a critical significance in the context of medical imaging. For instance, in laparoscopic surgery, the acquired video data s…
Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
Zohaib Amjad Khan, Azeddine Beghdadi, Mounir Kaaniche +1
Laparoscopic images and videos are often affected by different types of distortion like noise, smoke, blur and nonuniform illumination. Automatic detection of these distortions, fo…
Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach
Andrew Gilbert, Marit Holden, Line Eikvil +3
Two-dimensional echocardiography (2DE) measurements of left ventricle (LV) dimensions are highly significant markers of several cardiovascular diseases. These measurements are ofte…