At the Intelligent Medical Imaging and Image Processing (IMAGINE) lab, we develop new image processing technologies for medical applications, particularly Magnetic Resonance Imaging (MRI), working at the intersection of artificial intelligence, computational imaging, applied mathematics and …

- Implementation of zero-shot self-supervised learning for scan-specific reconstruction is available here, maintained by our lab member Burhaneddin Yaman. - If you use this software in one of your publications, please cite the paper listed below:

Our paper "Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging" was the most cited paper from 2019 in Magnetic Resonance in Medicine, a flagship journal for MRI research.

Mailing address: University of Minnesota 200 Union Street S.E. Rm. 5-159 Minneapolis, MN 55455 . Phone: (612) 625-1343. Fax: (612) 625-4583. Email: akcakaya AT umn.edu

52) M. Gulle and M. Akçakaya, “Robust Outer Volume Subtraction with Deep Learning Ghosting Detection for Highly-Accelerated Real-Time Dynamic MRI,” IEEE International Symposium on Biomedical Imaging (ISBI), May 2024.

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Merve was awarded the prestigious 3M Science and Technology Doctoral Fellowship in the Department of Electrical and Computer Engineering.The purpose of this Fellowship is to promote graduate student excellence at the University of Minnesota.

27) T. A. Basha, M. Akçakaya, B. Goddu, S. Berg and R. Nezafat, “Accelerated 3D Cine Phase Contrast Imaging using Randomly Undersampled Echo Planar Imaging with Compressed Sensing Reconstruction,” NMR Biomedicine, 28(1), pp. 30-39, Jan. 2015.

About. Mehmet Akçakaya was born in Istanbul, Turkey. He went to Robert College for high school, moved to Montreal for undergraduate studies at McGill University, where he graduated with great distinction and Charles Michael Morssen Gold Medal.He got his PhD degree in May 2010 under the supervision of Professor Vahid Tarokh in the School of Engineering and …

2022 IMAGINE Lab Abstracts at ISMRM. Fri, 05/13/2022 - 17:50. Our PhD students had 6 great abstracts at ISMRM this year. Burhan won a Magna Cum Laude award for this work on zero-shot self-supervised deep learning reconstruction.