Burhan was the 2023 winner of the University of Minnesota Best Dissertation Award for the Physical Sciences & Engineering category. This is a very well-deserved recognition for his pioneering work on self-supervised deep learning reconstruction!
Burak has successfully defended his PhD thesis, and is officially Dr. Demirel! Congratulations again on an excellent thesis entitled "Physics-Driven Deep Learning Techniques for High-Resolution MRI"!
Chi has successfully defended his PhD thesis, and is officially Dr. Zhang! Congratulations again on an excellent thesis entitled "Efficient Deep Learning-Based Approaches for Accelerated MRI"!
Burak won the Best Poster Award at the 2023 ISMRM Workshop on Data Sampling & Image Reconstruction for his work entitled "Database-Free Zero-Shot Deep Learning Reconstruction for Rapid Free-Breathing Cartesian Real-Time Cine MRI"!
Our new book "Magnetic Resonance Image Reconstruction: Theory, Methods, and Applications" co-edited by Mehmet, Dr. Mariya Doneva and Dr. Claudia Prieto is out!
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. Burak, Chi and Hongyi also had multiple abstracts covering improved cardiac MRI reconstruction, ultrahigh resolution fMRI and deep linear transform learning. Great works on advancing MRI reconstruction!
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.
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"!