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2018

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2018

  •  “ADC-Derived Spatial Features Can Accurately Classify Adnexal Lesions“, Anahita Fathi Kazerooni, PhD , Mahnaz Nabil, PhD,Hamidreza Haghighat Khah, MD,Mohammadreza Alviri, MSc, Maryam Heidari-Sooreshjaani, MD,5 Masoumeh Gity, MD,6,7 Mahrooz Malek, MD, and Hamidreza Saligheh Rad, PhD, Journal of Magnetic Resonance Imaging 47 (4), 1061-1071, 2018
  •  “Heterogeneity analysis of difusion‑weighted MRI for prediction and assessment of microstructural changes early after one cycle of induction chemotherapy in nasopharyngeal cancer patients”, Manijeh Beigi · Anahita Fathi Kazerooni · Mojtaba Safari · Marzieh Alamolhoda · Mohsen Shojaee Moghdam · Shiva Moghadam · Hamidreza SalighehRad · Ahmad Ameri, La radiologia medica 123 (1), 36-43, 2018
  • “A One-Step Biomarker Quantification Methodology for DCE-MRI of Adnexal Masses: Capturing Kinetic Pattern from Early to Late Enhancement”, Anahita Fathi Kazerooni, Mahnaz Nabil, Hamidreza Haghighat Khah,Sara Parviz, Masoumeh Gity, and Hamidreza Saligheh Rad, Magnetic Resonance in Medicine 79 (2), 1165-1171, 2018
  •  “Spatiotemporal features of DCE-MRI for breast cancer diagnosis“, Masood Banaiea, Hamid Soltanian-Zadeh, Hamid-Reza Saligheh-Rad, Masoumeh Gity, Computer methods and programs in biomedicine 155, 153-164, 2018
  • “Characterization of Active and Infiltrative Tumorous Subregions From Normal Tissue in Brain Gliomas Using Multiparametric MRI“, Anahita Fathi Kazerooni, PhD , Mahnaz Nabil, PhD, Mehdi Zeinali Zadeh, MD,Kavous Firouznia, MD, Farid Azmoudeh-Ardalan, MD, Alejandro F. Frangi, PhD,Christos Davatzikos, PhD, and Hamidreza Saligheh Rad, PhD,  Journal of Magnetic Resonance Imaging, 2018
  •  “Malignancy probability map as a novel imaging biomarker to predict malignancy distribution: employing MRS in GBM patients“,Manijeh Beigi, Kevan Ghasemi, Parvin Mirzaghavami, Mohammadreza Khanmohammadi & Hamidreza SalighehRad,  Journal of neuro-oncology 138 (3), 619-625, 2018
  • “Findings of DTI-p maps in comparison with T2/T2-FLAIR to assess postoperative hyper-signal abnormal regions in patients with glioblastoma“, Manijeh Beigi, Mojtaba Safari, Ahmad Ameri, Mohsen Shojaee Moghadam, Azim Arbabi, Morteza Tabatabaeefar and Hamidreza SalighehRad, Cancer Imaging 18 (1), 33, 2018

About Us

The Quantitative Medical Imaging Systems Group (QMISG) is established in 2012 at the Research Center for Molecular and Cellular Imaging (RCMCI).

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Address: Quantitative Medical Imaging Systems Group, Research Center for Molecular and Cellular Imaging, Emam Khomeini Hospital, Keshavarz Boulevard, Tehran, Iran. Mail: info@qmisg.com Phone: +98 (21) 66581505 Ext. 124

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