golnaz jalalahmadi
golnaz jalalahmadi
PhD Student of Imaging Science, Rochester Institute of Technology
Verified email at rit.edu
Title
Cited by
Cited by
Year
A numerical framework for studying the biomechanical behavior of abdominal aortic aneurysm
G Jalalahmadi, C Linte, M Helguera
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and …, 2017
42017
Toward modeling the effects of regional material properties on the wall stress distribution of abdominal aortic aneurysms
G Jalalahmadi, M Helguera, DS Mix, CA Linte
Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018
32018
(PEAK) WALL STRESS AS AN INDICATOR OF ABDOMINAL AORTIC ANEURYSM SEVERITY
G Jalalahmadi, M Helguera, DS Mix, S Hodis, MS Richards, MC Stoner, ...
2018 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2018
22018
A machine leaning approach for abdominal aortic aneurysm severity assessment using geometric, biomechanical, and patient-specific historical clinical features
G Jalalahmadi, M Helguera, CA Linte
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and …, 2020
12020
Design of a comprehensive modeling, characterization, rupture risk assessment and visualization pipeline for Abdominal Aortic Aneurysms
G Jalalahmadi
PQDT-UK & Ireland, 2020
2020
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Articles 1–5