Azadeh Tabari

15PUBLICATIONS
36CO-AUTHORS
Deep learningComputational physiologyElectrometallurgyPredictive and prognostic markersCancer diagnosis
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Publications (15)

|Jul 14, 2025
Deep-learning-accelerated T1-MPRAGE MRI for quantification and visual grading of cerebral volume in memory loss patients.

Nelson Gil, Azadeh Tabari, Dominik Nickel

|Apr 26, 2025
Using Interpretable Artificial Intelligence Algorithms in the Management of Blunt Splenic Trauma: Applications of Optimal Policy Trees as a Treatment Prescription Aid to Improve Patient Mortality.

Vahe S Panossian, Yu Ma, Bolin Song

|Apr 22, 2025
Low-Carbon MRI: Acceleration Strategies to Reduce Emissions and Expand Imaging Capacity.

Sean A Woolen, Vibhas Deshpande, Amy E Becker

|Mar 11, 2024
Quantitative peritumoral magnetic resonance imaging fingerprinting improves machine learning-based prediction of overall survival in colorectal cancer.

Azadeh Tabari, Brian D'Amore, Janice Noh

|Jan 22, 2024
From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer.

Satvik Tripathi, Azadeh Tabari, Arian Mansur

|Jul 02, 2023
Optimized flow compensation for contrast-enhanced T1-weighted Wave-CAIPI 3D MPRAGE imaging of the brain.

Azadeh Tabari, Min Lang, Komal Awan

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Frequent Collaborators

2 joint publications

Bryan Clifford

2 joint publications

Arian Mansur

2 joint publications

Susie Y Huang

1 joint publications

M Lang