Yasir Albaqqal

           Computational Biomedical Imaging Group

           The University of Iowa

           Seamans Center, The University of Iowa, Iowa City, IA, USA




•  2014-2018: Ph.D., Electrical and Computer Engineering, The University of Iowa, IA, USA

•  2011-2014: M.S., Electrical and Computer Engineering, The University of Iowa, IA, USA

•  2003-2007: B.Sc, Computer Engineering, University of Baghdad, Iraq.


The ultimate goal of my research is to develop novel algorithms to reconstruct heavily undersampled sparse imaging. The designed schemes aim to achieve a higher patio-temporal resolution, signal-to-noise ratio and coverage in multidimensional multichannel MRI. In addition to improving patients comfort and compliance while imaging under the MRI device, the newly developed schemes will allow patients with arrhythmia problems, pediatrics and obese people to breath freely without the need for any breath-hold scans. Shortening examination periods also reduces patient's stress, lowers the entire visit to the clinic and finally lowers the associated economic costs. Rapid imaging acquisitions will also allow for efficient extraction of quantitative information needed for the patients' diagnosis eg. tumor characterization and veins blockages through myocardial perfusion MRI. Current applications of interests include real-time CINE MRI and contrast changing perfusion MRI.



  1. S. Poddar, Y. Mohsin, A. Deidra, B. Thattayilath, R. Ashwath, M. Jacob, Manifold recovery using kernel low-rank regularization: application to dynamic imaging, IEEE Transactions on Computational Imaging, in a press.
  2. Y. Mohsin, S.G Lingala, E. DiBella, M.Jacob, Accelerated dynamic MRI Using Patch Regularization for Implicit motion CompEnsation (PRICE) Magnetic Resonance in Medicine,77:1238–1248, 2017. [Software].
  3. Y. Mohsin, G. Ongie, M. Jacob, Iterative shrinkage algorithm for patch smoothness regularized medical image recovery, IEEE Trans. Medical Imaging, 34(12), pp 2417-28, 2015. [Software]


  1. Y. Mohsin, Sunrita Poddar, Bijoy Thattayilath, Deidra Ansah, and Mathews Jacob, Navigator-less manifold recovery of cardiac data using iterative SToRM, ISMRM-ESMRMB Conference, Paris, France 2018.
  2. S. Poddar, Y. Mohsin, B. Thattaliyath, D. Ansah, M. Jacob. Kernel low-rank regularization: an efficient approach for recovering dynamic images on a manifold. ISMRM-ESMRMB Conference, Paris, France 2018. 
  3. Y. Mohsin, Sunrita Poddar, Bijoy Thattaliyath, Ansah Diedra, Xiaoming B, Dingxin Wang and Mathews JacobCalibration-free manifold recovery for free breathing & ungated Cardiac MR Imaging, ISMRM workshop 2017, New York City, NY, USA.
  4. S.G. Lingala, Y. Mohsin, S. Bhave, X.Miao, Y.Guo, K.S. Nayak, E. DiBella, M. Jacob, "Data-adaptive reconstruction algorithms for accelerated dynamic MRI: an open-source MATLAB package." ISMRM Workshop on Data Sampling and Image Reconstruction, Sedona, Arizona, Jan 2016.
  5. Y. Mohsin, S.G. Lingala, E Dibella, M Jacob, Motion compensated free breathing myocardial perfusion MRI using iterative non-local shrinkage, ISMRM, Toronto, Canada, 2015
  6. Y. Mohsin, G. Ongie, M.Jacob, "Accelerated MRI using iterative non-local shrinkage", EMBC, Chicago, USA, 2014. 
  7. Y. Mohsin, Z. Yang, S.G.Lingala, M.Jacob, "Motion-compensated dynamic imaging without explicit motion estimation", ISMRM, Milan, Italy, 2014.
  8. S.G. Lingala, Y. Mohsin, J.Newell, J.Sieren, D.Wang, D.Thedens, M.Jacob, "Towards 3D dynamic MRI of the lung using blind compressed sensing", ISMRM, Milan, Italy, 2014.