A Particle-Mesh Integrator for Galactic Dynamics Powered by GPGPUs. - Dominique Aubert; Mehdi Amini; Romaric David (ICCS (1), 2009)

Static Compilation Analysis for Host-Accelerator Communication Optimization. - Mehdi Amini; Fabien Coelho; François Irigoin; Ronan Keryell (LCPC, 2011)

Reengineering a reverse supply chain for product returns services. - Carol C. Bienstock; Mehdi Amini; Donna L. Retzlaff-Roberts (Int. J. Bus. Perform. Supply Chain Model., 2011)

Beyond Do Loops: Data Transfer Generation with Convex Array Regions. - Serge Guelton; Mehdi Amini; Béatrice Creusillet (LCPC, 2012)

Alternative supply chain production-sales policies for new product diffusion: An agent-based modeling and simulation approach. - Mehdi Amini; Tina Wakolbinger; Michael Racer; Mohammad G. Nejad (Eur. J. Oper. Res., 2012)

Compilation et optimisation statique des communications hôte-accélérateur. - Mehdi Amini; François Irigoin; Frederico Coelho; Ronan Keryell (Tech. Sci. Informatiques, 2012)

Polyèdres et compilation. - François Irigoin; Mehdi Amini; Corinne Ancourt; Fabien Coelho; Béatrice Creusillet; Ronan Keryell (Tech. Sci. Informatiques, 2012)

Source-to-Source Automatic Program Transformations for GPU-like Hardware Accelerators. (Transformations de programme automatiques et source-à-source pour accélérateurs matériels de type GPU). - Mehdi Amini (2012)

Pythran: Enabling Static Optimization of Scientific Python Programs. - Serge Guelton; Pierrick Brunet; Alan Raynaud; Adrien Merlini; Mehdi Amini (SciPy, 2013)

ThinLTO: scalable and incremental LTO. - Teresa Johnson; Mehdi Amini; Xinliang David Li (CGO, 2017)

MLIR: A Compiler Infrastructure for the End of Moore's Law. - Chris Lattner; Jacques A. Pienaar; Mehdi Amini; Uday Bondhugula; River Riddle; Albert Cohen 001; Tatiana Shpeisman; Andy Davis; Nicolas Vasilache; Oleksandr Zinenko (CoRR, 2020)

The impact of supply chain disruption on the closed-loop supply chain configuration profit: a study of sourcing policies. - Jighyasu Gaur; Mehdi Amini; Arza Keshava Rao (Int. J. Prod. Res., 2020)

MLIR: Scaling Compiler Infrastructure for Domain Specific Computation. - Chris Lattner; Mehdi Amini; Uday Bondhugula; Albert Cohen 001; Andy Davis; Jacques A. Pienaar; River Riddle; Tatiana Shpeisman; Nicolas Vasilache; Oleksandr Zinenko (CGO, 2021)

Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information. - Zahra Khodabakhshi; Mehdi Amini; Shayan Mostafaei; Atlas Haddadi Avval; Mostafa Nazari; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2021)

IRDL: an IR definition language for SSA compilers. - Mathieu Fehr; Jeff Niu; River Riddle; Mehdi Amini; Zhendong Su 001; Tobias Grosser (PLDI, 2022)

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. - Isaac Shiri; Mehdi Amini; Mostafa Nazari; Ghasem Hajianfar; Atlas Haddadi Avval; Hamid Abdollahi; Mehrdad Oveisi; Hossein Arabi; Arman Rahmim; Habib Zaidi (Comput. Biol. Medicine, 2022)

Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms. - Fatemeh Arian; Mehdi Amini; Shayan Mostafaei; Kiara Rezaei-Kalantari; Atlas Haddadi Avval; Zahra Shahbazi; Kianosh Kasani; Ahmad Bitarafan-rajabi; Saikat Chatterjee; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2022)

Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition. - Maziar Sabouri; Ghasem Hajianfar; Zahra Hosseini; Mehdi Amini; Mobin Mohebi; Tahereh Ghaedian; Shabnam Madadi; Fereydoon Rastgou; Mehrdad Oveisi; Ahmad Bitarafan-rajabi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2023)

Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study. - Mobin Mohebi; Mehdi Amini; Mohammad Javad Alemzadeh-Ansari; Azin Alizadehasl; Ahmad Bitarafan-rajabi; Isaac Shiri; Habib Zaidi; Mahdi Orooji (J. Digit. Imaging, 2023)

Multi-institutional PET/CT image segmentation using federated deep transformer learning. - Isaac Shiri; Behrooz Razeghi; Alireza Vafaei Sadr; Mehdi Amini; Yazdan Salimi; Sohrab Ferdowsi; Peter Boor; Deniz Gündüz; Slava Voloshynovskiy; Habib Zaidi (Comput. Methods Programs Biomed., 2023)

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography. - Peyman Sharifian; Xiaotong Hong; Alireza Karimian; Mehdi Amini; Hossein Arabi (CoRR, 2025)