Mahdi Saberi
Graduate Research Assistant, University of Minnesota
I am a Ph.D. student in Electrical Engineering at the University of Minnesota, advised by Prof. Mehmet Akçakaya in the IMAGINE Lab and the Center for Magnetic Resonance Research (CMRR). My research focuses on developing AI and deep learning methods for medical imaging, with an emphasis on MRI reconstruction, inverse problems, and adversarial robustness. My work has appeared at venues including ICML, ISBI, and EMBC.
My current research interests include: inverse problems, MRI reconstruction, adversarial attacks, and text-to-image generation.
📄 Curriculum Vitae
Selected Publications
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Training-Free Mitigation of Adversarial Attacks on Deep Learning-Based MRI Reconstruction
ICML 2026
International Conference on Machine Learning (ICML), 2026 · Acceptance rate ~26.6%
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Revisiting MRI Reconstruction Using a Combination of Complex and Magnitude Measurements with Learned Priors
Invited · Top 3–5%
IEEE International Symposium on Biomedical Imaging (ISBI), 2026 · Invited to IEEE TBME
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Phase-Correction Strategies for Physics-Driven Deep Learning Reconstruction of Accelerated Non-Cartesian Multi-Echo fMRI
IEEE International Symposium on Biomedical Imaging (ISBI), 2026
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Physics-Driven Deep Learning Reconstruction of Frequency-Modulated Rabi-Encoded Echoes for Faster Accessible MRI
IEEE Engineering in Medicine and Biology Society (EMBC), 2024