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Azadeh Tabari

15PUBLICATIONS

36CO-AUTHORS

Deep learningComputational physiologyElectrometallurgyPredictive and prognostic markersCancer diagnosis

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Publications (15)

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|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

1 joint publications

J Ford

1 joint publications

K Manzoor

1 joint publications

D N Splitthoff

1 joint publications

L L Wald

1 joint publications

O Rapalino

1 joint publications

P Schaefer

Frequent Collaborators

2 joint publications

Bryan Clifford

2 joint publications

Arian Mansur

2 joint publications

Susie Y Huang

1 joint publications

M Lang

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