Join to View Full Profile
Martinos center, Massachusetts General Hospital (MGH), 149 13th StBoston, MA 02129
Dr. Vahedi is on Doximity
As a Doximity member you'll join over two million verified healthcare professionals in a private, secure network.
- Gain access to free telehealth tools, such as our “call shielding” and one-way patient texting.
- Connect with colleagues in the same hospital or clinic.
- Read the latest clinical news, personalized to your specialty.
Summary
- Dr. Farzan Vahedifard is a physician-scientist and researcher with deep expertise in radiology, neuroimaging, and artificial intelligence. Proven track record of conducting groundbreaking research at different institutions over the past several years, including the Mass General Hospital, the University of Pittsburgh, Rush University Medical Center, UC San Diego, and Iran University of Medical Sciences. He has authored over 50 scholarly publications—including peer-reviewed journal articles, multiple book chapters, and conference presentations, as well as developed 10 radiology tools. Currently based at Massachusetts General Hospital and Harvard Medical School, Dr. Vahedifard leads advanced translational projects integrating 7T MRI, TMS, and deep learning to improve the diagnosis and treatment of mood and pain disorders
Education & Training
Iran University of Medical SciencesClass of 2017
Publications & Presentations
PubMed
- 2 citationsAutomatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model.Farzan Vahedifard, Xuchu Liu, Jubril O Adepoju, Shiqiao Zhao, H Asher Ai
AJNR. American Journal of Neuroradiology. 2023-10-01 - 1 citationsAutomatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements.Farzan Vahedifard, H Asher Ai, Mark P Supanich, Kranthi K Marathu, Xuchu Liu
Diagnostics. 2023-07-13 - 5 citationsReview of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging.Farzan Vahedifard, Jubril O Adepoju, Mark Supanich, Hua Asher Ai, Xuchu Liu
World Journal of Clinical Cases. 2023-06-06
Viewing the full profile is available to verified healthcare professionals only.
Find your profile and take control of your online presence:
