Sajad Khodabandelu

Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them

S. Khafri, H. M. Kordy, Z. Basirat, 2022, BMC Medical Informatics and Decision Making.

Increased expression of androgen receptor and PSA genes in LNCaP (prostate cancer) cell line due to high concentrations of EGCG, an active ingredient in green tea

H. Mokhtari, Sajad Khodabandelu, Maryam Mohammadi, 2022, Hormone molecular biology and clinical investigation.

Development of a Machine Learning-Based Screening Method for Thyroid Nodules Classification by Solving the Imbalance Challenge in Thyroid Nodules Data

S. Khafri, M. Ezoji, N. Ghaemian, 2022, Journal of research in health sciences.

Increased prevalence of thyroid dysfunction in Tehran – HAMRAH study

H. Bakhshandeh, M. Alemzadeh-Ansari, M. Baay, 2023, BMC Endocrine Disorders.