Omer Burak Demirel

About Omer Burak Demirel

Omer Burak Demirel, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of Magnetic Resonance Imaging, Cardiovascular Magnetic Resonance, Medical Image Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study

Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction

High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI

Improved Simultaneous Multi-slice imaging with Composition of k-space Interpolations (SMS-COOKIE) for myocardial T1 mapping

OPEN ACCESS EDITED BY

High-Quality 0.5 mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning

Physics-Driven Deep Learning Techniques for High-Resolution MRI

Signal intensity informed multi‐coil encoding operator for physics‐guided deep learning reconstruction of highly accelerated myocardial perfusion CMR

Omer Burak Demirel Information

University

Position

___

Citations(all)

233

Citations(since 2020)

213

Cited By

64

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Omer Burak Demirel Skills & Research Interests

Magnetic Resonance Imaging

Cardiovascular Magnetic Resonance

Medical Image Computing

Top articles of Omer Burak Demirel

Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study

Magnetic resonance in medicine

2024/1/21

Omer Burak Demirel
Omer Burak Demirel

H-Index: 4

Kamil Ugurbil
Kamil Ugurbil

H-Index: 76

Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction

2023/12/10

High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI

2023/7/24

Improved Simultaneous Multi-slice imaging with Composition of k-space Interpolations (SMS-COOKIE) for myocardial T1 mapping

PloS one

2023/7/21

OPEN ACCESS EDITED BY

Community Series-Extremophiles: Microbial Genomics and Taxogenomics, Volume II

2023/11/22

High-Quality 0.5 mm Isotropic fMRI: Random Matrix Theory Meets Physics-Driven Deep Learning

2023/4/24

Physics-Driven Deep Learning Techniques for High-Resolution MRI

2023

Signal intensity informed multi‐coil encoding operator for physics‐guided deep learning reconstruction of highly accelerated myocardial perfusion CMR

Magnetic resonance in medicine

2023/1

Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging

NMR in Biomedicine

2022/12

Cardiac phase-resolved late gadolinium enhancement imaging

Frontiers in Cardiovascular Medicine

2022/9/29

Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning

NeuroImage

2022/8/1

Chi Zhang
Chi Zhang

H-Index: 2

Omer Burak Demirel
Omer Burak Demirel

H-Index: 4

Myocardial Approximate Spin-lock Dispersion Mapping using a Simultaneous and Mapping at 3T MRI

2022/7/11

Signal-Intensity Informed Multi-Coil MRI Encoding Operator for Improved Physics-Guided Deep Learning Reconstruction of Dynamic Contrast-Enhanced MRI

2022/7/11

Distributed memory-efficient physics-guided deep learning reconstruction for large-scale 3d non-cartesian MRI

2022/3/28

20-fold accelerated 7T fMRI using referenceless self-supervised deep learning reconstruction

2021/11/1

Improved simultaneous multi-slice functional MRI using self-supervised deep learning

2021/10/31

Free‐breathing simultaneous T1, T2, and T2∗ quantification in the myocardium

Magnetic resonance in medicine

2021/9

Improved simultaneous multislice cardiac MRI using readout concatenated k‐space SPIRiT (ROCK‐SPIRiT)

Magnetic resonance in medicine

2021/6

Omer Burak Demirel
Omer Burak Demirel

H-Index: 4

Sebastian Weingärtner
Sebastian Weingärtner

H-Index: 17

Improved Accelerated fMRI Reconstruction using Self-supervised Deep Learning

Proceedings of 29th Annual Meeting of the International Society of Magnetic Resonance in Medicine

2021

Simple anatomical measures correlate with individual PNS thresholds for kHz-range homogeneous magnetic fields

Proceedings of the 28th Annual Meeting of ISMRM

2020

See List of Professors in Omer Burak Demirel University(University of Minnesota-Twin Cities)

Co-Authors

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