معرفی
Ida Arvidsson is a postdoctoral research fellow at the Centre for Mathematical Sciences, Faculty of Engineering, Lund University, Sweden. She holds a Ph.D. in Mathematics (2021) and an M.Sc. in Engineering Physics (2016) from Lund University.
- Active in eSSENCE: The e-Science Collaboration
- Involved in ELLIIT (Linköping-Lund initiative on IT and mobile communication)
- Member of Lund University's AI and Digitalization and Natural and Artificial Cognition profile areas
Her research focuses on machine learning and deep learning applied to medical imaging, including prostate cancer grading, coronary artery disease detection, breast cancer prediction, and Alzheimer's disease diagnosis. This work contributes to the UN Sustainable Development Goals Good Health and Well-Being.
Recent publications emphasize AI-driven diagnostics in ultrasound imaging, out-of-distribution detection, and trustworthiness in low-resource settings. Her collaborative projects span Sweden, Africa, and the US, with over 22 research outputs and 8 active/finished projects.
Scientific Awards
- Oscar II stipendium for best dissertation at LTH (2023)
- IVAs 100-lista (2023)
- LU Innovation Award (2022)
She supervises Nätterdahl, C. on skin cancer diagnosis in teledermoscopy and co-leads projects like Breast Point-of-Care Examination Trial. Her work is supported by grants including eSSENCE@LU 10:7.
