Elnaz Tabibian

A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters

Mahrooz Malek, Masoumeh Gity, Azadeh Alidoosti et al. · European Journal of Radiology · 2018 · 38 citations

Engineering, Machine Learning, Medical Imaging +15

Investigating the diagnostic value of quantitative parameters based on T2-weighted and contrast-enhanced MRI with psoas muscle and outer myometrium as internal references for differentiating uterine sarcomas from leiomyomas at 3T MRI

Mahrooz Malek, Maryam Rahmani, Seyyedeh Mahdieh Seyyed Ebrahimi et al. · Cancer Imaging · 2019 · 25 citations · Full text

A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method

Mahrooz Malek, Elnaz Tabibian, Milad Rahimi Dehgolan et al. · Scientific Reports · 2020 · 19 citations · Full text

Diagnostic value of 3 T MR spectroscopy, diffusion-weighted MRI, and apparent diffusion coefficient value for distinguishing benign from malignant myometrial tumours

Pariya Rahimifar, Hassan Hashemi, Mahrooz Malek et al. · Clinical Radiology · 2019 · 18 citations

Engineering, Medical Imaging, Pet-mri +11

Comparison of Qualitative (Time Intensity Curve Analysis), Semi-Quantitative, and Quantitative Multi-Phase 3T DCEMRI Parameters as Predictors of Malignancy in Adnexal

Mehrooz Malek, Zeynab Oghabian, Elnaz Tabibian et al. · Asian Pacific Journal of Cancer Prevention · 2019 · 13 citations · Full text