معرفی
Predrag Bakic is an Associate Professor and Researcher in Radiology Diagnostics at Lund University, affiliated with the Lund University Cancer Centre (LUCC). His work focuses on advancing medical imaging technologies, particularly digital breast tomosynthesis (DBT) and multimodal imaging approaches. He leads several research projects funded by organizations like Cancerfonden and Bröstcancerförbundet. His expertise spans radiation dose assessment, AI-driven diagnostics, and improving cancer screening efficacy through innovative imaging techniques.
Research Interests:
- Digital Breast Tomosynthesis
- Radiation Dose Optimization
- Clinical Trial Design for Imaging Modalities
- AI in Diagnostic Radiology
- Multimodal Imaging Integration
- Breast Cancer Screening Innovations
Prizes: Recipient of the 1st Prize Live Demonstrations Workshop in 2023 and 2025 for advancements in imaging technology. His work has been highlighted in multiple news outlets and academic platforms, with significant Mendeley readership.
Projects: Currently PI on projects like 'Improved cancer screening by simultaneous digital breast tomosynthesis and mechanical imaging' (2025–2028) and 'Clinical optimization of cancer screening with simultaneous tomosynthesis and mechanical imaging' (2022–2026). Previously led the DBTMI project (2019–2021).
Labs/Teams: Active contributor to LUCC and collaborates with interdisciplinary teams in biomedical engineering, physics, and oncology. Organized workshops like 'Computational Simulation Studies in Cancer Imaging' and 'Image processing to reduce radiation dose'.
