Ali Yavari, MSc.
Center for Medical Physics and Biomedical Engineering
Position: PHD Student
ORCID: 0000-0002-7280-1929
T +43 1 681 813 953 05
ali.yavari@meduniwien.ac.at
Keywords
Artificial Intelligence
Research group(s)
- ZEISS Lab
Research Area: The ZEISS Lab is a joint research initiative between the Medical University of Vienna and ZEISS. Research Area: Biophotonics. Research Topics: OCT Technologies | Translational OCT | Multimodal Biomedical Imaging
Members:
Research interests
My research areas of interest include Machine Learning, Deep learning (NLP, Computer Vision, Generative Adversarial Networks), Evolutionary computation and AI in health care (Diagnosis, Prognosis, Treatment).
Selected publications
- Yavari, A., Rajabzadeh, A. and Abdali-Mohammadi, F. (2021) ‘Profile-based assessment of diseases affective factors using fuzzy association rule mining approach: A case study in heart diseases’, Journal of Biomedical Informatics, 116, p. 103695. Available at: http://dx.doi.org/10.1016/j.jbi.2021.103695.
- A. Yavari, A. Rajabzadeh, and F. Abdali-Mohammadi, “A Profile-Based Binary Feature Extraction Method Using Frequent Itemsets for Improving Coronary Artery Disease Diagnosis.” arXiv, 2021. doi: 10.48550/ARXIV.2109.10966.
- A. Yavari, P. Janjani, S. Motavaseli, S. Weysi, S. Siabani, and M. Rouzbahani, “GWO-FI: A novel machine learning framework by combining Gray Wolf Optimizer and Frequent Itemsets to diagnose and investigate effective factors on In-Hospital Mortality and Length of Stay among Kermanshahian Cardiovascular Disease patients.” arXiv, 2022. doi: 10.48550/ARXIV.2212.13048.