Lazar Dašić
Junior research
assistant
Master of Electrical and Computer Engineering
Brief description of the research
The main focus of Lazar Dašić's research is the application of artificial intelligence and deep learning methods to biomedical data, primarily medical images.
Research includes solving the problem of classification and segmentation of medical images, as well as the application of computer vision in the development of intraoperative tools to support surgeons during liver tumor removal operations.
Selected references
- Dašić L., Radovanović N., Šušteršič T., Blagojević A., Benolić L. and Filipović N. (2022). Patch-based Convolutional Neural Network for Atherosclerotic Carotid Plaque Semantic Segmentation, IPSI Transactions on Internet Research, Vol.18(1), 58–63.
- Dašić L. and Filipović N. (2022). Liver Tracking for Intraoperative Augmented Reality Navigation System, First Serbian International Conference on Applied Artificial Intelligence, Крагујевац.
- Dašić L., Blagojević A., Šušteršič T. and Filipović N. (2022). Comparative Analysis of Patch-based and Full Image Methodology of Carotid Artery Plaque Semantic Segmentation in Ultrasound Images, IEEE-EMBS BHI Conference, Јоанина, Грчка.