Tehran University of Medical Sciences

Science Communicator Platform

Faculty Members have conducted research related to the Automated Segmentation of Meningioma From Contrast-Enhanced T1-Weighted Mri Images in a Case Series Using a Marker-Controlled Watershed Segmentation and Fuzzy C-Means Clustering Machine Learning Algorithm
Fahimeh Azizinik
Fahimeh Azizinik

Assistant Professor of Radiology

Department Radiology

School of Medicine

Yas Hospital,Amir Alam Hospital

Tehran University of Medical Sciences

All Documents
1. Evaluation and Predictive Value of Placental Thickness in Fetal Biometric Assessment and Doppler Indices of the Uterine and Umbilical Arteries, Journal of Clinical Ultrasound (2025)
2. Imaging Findings in Symptomatic Appendiceal Endometriosis: A Systematic Review of Case Reports, Iranian Journal of Radiology (2025)
3. Is There Any Correlation Between Diffusion-Weighted Imaging and Histopathologic Findings of Meningioma? a Retrospective Study, Health Science Reports (2025)
4. Vascular Lesions of Head and Neck Region: A Pictorial Review, European Journal of Radiology (2025)
5. Added Value of Supplemental Screening Breast Mri in Women at Average or Intermediate Breast Cancer Risk Using Abbreviated Protocols, Archives of Breast Cancer (2024)
6. Association Between Cesarean Scar Defect and Adenomyosis in Patients With Abnormal Uterine Bleeding, Tehran University Medical Journal (2024)
7. Evaluation of Association Between Adenomyosis and Cesarean Scar Defect, Journal of Ultrasound in Medicine (2024)
8. Evaluation of Features in Probably Benign and Malignant Nonmass Enhancement in Breast Mri, International Journal of Breast Cancer (2024)
9. Spectrum of Ultrasound Findings in Patients With History of Breast Conservative Treatment, Journal of Clinical Ultrasound (2023)
10. The Imaging Findings and Diagnostic Value of Radiology Modalities to Assess Breast Malignancy Among Women Aged Younger Than 30 Years, Acta Radiologica (2023)
11. Imaging Features of Granulomatous Mastitis in 36 Patients With New Sonographic Signs, Journal of Ultrasound (2020)