Burhan was the first author of a new paper, Zero-Shot Self-Supervised Learning for MRI Reconstruction, published in ICLR 2022, a flagship AI conference. This work proposes a zero-shot self-supervised learning approach to perform subject-specific deep learning MRI reconstruction to tackle generalizability issues related to changes in sampling pattern, acceleration rate, SNR, image contrast, and anatomy.
Burhan has successfully defended his PhD thesis, and is officially Dr. Yaman! Congratulations again on an excellent thesis entitled "Self-Supervised Physics-Guided Deep Learning for Solving Inverse Problems in Imaging"!
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.
Our PhD students had 6 great abstracts at ISMRM this year. Burak and Chi won Summa Cum Laude awards (given to top 5% of abstracts) for their work on self-supervised fMRI reconstruction and adversarial attacks on conventional reconstruction methods (co-first authored with Burhan), respectively. Burhan and Hongyi won Magna Cum Laude awards (given to top 15% of abstracts) for their work on multi-mask self-supervised learning and optimization of wavelet-based compressed sensing with deep learning tools, respectively. Great works on advancing MRI reconstruction!
Burhan was a finalist for the Early Career Award in Basic Science category with his work entitled "Physics-Guided Self-Supervised Deep Learning Reconstruction without Fully-Sampled Data for Improved High-Resolution 3D LGE CMR" at the Annual Meeting of the SCMR! An extended version of this work is also available.
Our PhD students had 3 great abstracts at ISMRM this year. Burak and Burhan won Summa Cum Laude awards (given to top 5% of abstracts) for their work on ROCK-SPIRiT and self-supervised deep learning reconstructions respectively. Amir won a Magna Cum Laude award (given to top 15% of abstracts) for his work on dense recurrent neural networks for algorithm unrolling. Great works on advancing MRI reconstruction!
Burhan won the 2020 IEEE ISBI Best Paper Award for his work entitled "Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data"!
Burak was awarded a nationally competitive American Heart Association (AHA) Pre-doctoral Fellowship for his proposal entitled "Rapid High Resolution Whole Heart Perfusion MRI for Evaluation of Coronary Artery Disease"!