Amir Mohammad Vahdani

7PUBLICATIONS
18CO-AUTHORS
Cross-sectional analysisRadiology and organ imagingDeep learningDecision makingContext learning
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Publications (7)

|Jul 13, 2026
Automated Deep Learning Segmentation and Quantification of Epicardial Adipose Tissue from Coronary Computed Tomography Angiography: Validation and Clinical Implications.

|Feb 27, 2026
Computed tomography of interstitial lung disease in systemic sclerosis: dataset and deep learning model for pulmonary lesion segmentation.

Amir M Vahdani, Aida Mohamadi, Sepehr Nayebirad

|Jul 28, 2025
Towards trustworthy artificial intelligence in musculoskeletal medicine: A narrative review on uncertainty quantification.

Amir M Vahdani, Moein Shariatnia, Pranav Rajpurkar

|Apr 24, 2025
Comparison of machine learning models with conventional statistical methods for prediction of percutaneous coronary intervention outcomes: a systematic review and meta-analysis.

Sepehr Nayebirad, Ali Hassanzadeh, Amir Mohammad Vahdani

|Oct 07, 2024
Deep Conformal Supervision: Leveraging Intermediate Features for Robust Uncertainty Quantification.

Amir M Vahdani, Shahriar Faghani

|Jul 29, 2024
Deep Learning-Based Techniques in Glioma Brain Tumor Segmentation Using Multi-Parametric MRI: A Review on Clinical Applications and Future Outlooks.

Delaram J Ghadimi, Amir M Vahdani, Hanie Karimi

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Frequent Collaborators

3 joint publications

Sepehr Nayebirad

2 joint publications

Shayan Forghani

1 joint publications

Delaram J Ghadimi

1 joint publications

Hamidreza Saligheh Rad