Mobina Ghojoghnejad
Durham,USA
Overview
3
3
years of professional experience
Work History
Research Fellow
Duke University Department of Radiology
10.2022 - 05.2025
- focus on imaging biomarkers, investigating their potential to predict disease progression
- Performed detailed segmentations to accurately delineate anatomical structures and identify abnormalities
- Compared inspiratory and expiratory CT scans to identify and assess regions of air trapping, facilitating better understanding of pulmonary conditions
- Evaluated the influence of variations in CT settings on image quality and diagnostic utility, contributing to optimized imaging practices.
Education
Doctor of Medicine (M.D.) -
Golestan University of Medical Sciences
12.2020
Affiliations
- Society for Advanced Body Imaging
- American College of Radiology
- American Roentgen Ray Society
- Radiological Society of North America
Publications and Abstracts
Enayati A, GhojoghNejad M, Roufogalis BD, Maollem SA, Sahebkar A., Impact of Phytochemicals on PPAR Receptors: Implications for Disease Treatments., Hindawi, 4714914
Kavuri A, Ho FC, GhojoghNejad M, Sotoudeh-Paima S, Samei E, Segars WP, Abadi E., Quantitative Accuracy of Lung Function Measurement Using Parametric Response Mapping: A Virtual Imaging Study., Proc SPIE Int Soc Opt Eng.,, 12927(0B), 47-53
Sotoudeh-Paima S, Ho FC, GhojoghNejad M, Kavuri A, O'Sullivan-Murphy B, Lynch DA, Segars PW, Samei E, Abadi E., Development and Application of a Virtual Imaging Trial Framework for Longitudinal Quantification of Emphysema in CT., Proc SPIE Int Soc Opt Eng. 12925(1), 229-236
GhojoghNejad M, Dahal L, Segars WP, Lo JY., Multiorgan Volume Estimations Using Automated Segmentation in a Large Clinical Population., In E Abadi, A Badano, P Bakic, et al. (Eds.), Proceedings of Virtual Imaging Trials in Medicine 2024, 100-103
Ho FC, Kavuri A, Sotoudeh-Paima S, GhojoghNejad M, Segars WP, Samei E, Abadi E., CT Performance in Quantifying Small Airway Disease Using Paired Inspiratory-Expiratory Scans: A Virtual Imaging Study., In E Abadi, A Badano, P Bakic, et al. (Eds.), Proceedings of Virtual Imaging Trials in Medicine 2024, 81-85
Mouheb K, GhojoghNejad M, Dahal L, Samei E, Lafata KJ, Segars WP, Lo JY., Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation.
Suleiman AT, GhojoghNejad M, Dahal L, Lo JY., Interactive Deep Learning-Based Active Learning Strategies for Abdominal Organ Segmentation., Master's Thesis, MAIA (Medical Imaging and Artificial Intelligence)
Dahal L, GhojoghNejad M, Ghosh D , Bhandari Y, Kim D, Ho F C, Tushar F I, Luoa S , Lafata K J, Abadi E, Samei E, Lo J Y, Segars W P. XCAT-2.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. Medical Image Analysis .
GhojoghNejad M, Magudia K. ACR case in point: Zollinger Ellison . American College of Radiology. August 2024. Publication Status: Under Review.
USMLE
Step1 PASS (first attempt)
Step2 PASS 243 (first attempt)
Languages
English
Turkish
Persian
Timeline
Research Fellow
Duke University Department of Radiology
10.2022 - 05.2025
Doctor of Medicine (M.D.) -
Golestan University of Medical Sciences
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