NegarFiroozehMD(She/Her)

Summary

• I am a medical graduate from Tehran University of Medical Sciences, with some experience from my independent practice in Emergency Departments and contributions to various research initiatives.
  
  I have been a postdoctoral research scholar in the Radiology Department at the University of Washington since January 2023. Initially joining the Neuroradiology section, I have primarily been involved in AI projects related to intracranial aneurysms, including segmentation and detection using machine learning. One of main projects include Morphology and a Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA, supported by the NIH. Our publication on this topic is recently published in Medical Informatics Journal.
  
  In addition to my work in neuroradiology, I am also actively involved with the cardiothoracic and abdominal sections. In the cardiothoracic section, I mainly work on a comprehensive database of sarcoidosis patients with cardiac involvement. My main project here is the Strain CMR Analysis, which can predict regions of inflammation on PET/CT in patients with cardiac sarcoidosis. I am also engaged in a radiomics project, conducting a randomized controlled trial to assess radiomics features of multiparametric CMRI acquired in diabetic patients without known heart failure, before and after treatment with the SGLT2 inhibitor Dapagliflozin.
  
  In the abdominal section, my focus is on various prostate cancer-related projects, including work on the prostate database. I am submitting a paper titled "To Assess How PI-RADS Scores Derived from a Multiparametric MRI Protocol Change When Only T2-Weighted and DCE MRI (T2+DCE MRI) Are Utilized to Assign the Scores".