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coreMRI: A high-performance, publicly available MR simulation platform on the cloud

PloS one, 2019-05, Vol.14 (5), p.e0216594-e0216594

2019

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MRISIMUL: A GPU-Based Parallel Approach to MRI Simulations

IEEE transactions on medical imaging, 2014-03, Vol.33 (3), p.607-617

2014

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IEEE_Xplore

Importance of standardizing timing of hematocrit measurement when using cardiovascular magnetic resonance to calculate myocardial extracellular volume (ECV) based on pre- and post-contrast T1 mapping

Journal of cardiovascular magnetic resonance, 2018-06, Vol.20 (1), p.46-46, Article 46

2018

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Parallel simulations for QUAntifying RElaxation magnetic resonance constants (SQUAREMR): an example towards accurate MOLLI T1 measurements

Journal of cardiovascular magnetic resonance, 2015-11, Vol.17 (1), p.104-104, Article 104

2015

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Comparison of short axis and long axis acquisitions of T1 and extracellular volume mapping using MOLLI and SASHA in patients with myocardial infarction and healthy volunteers

BMC medical imaging, 2019-02, Vol.19 (1), p.18-18, Article 18

2019

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Simulator-generated training datasets as an alternative to using patient data for machine learning: An example in myocardial segmentation with MRI

Computer methods and programs in biomedicine, 2021-01, Vol.198, p.105817-105817, Article 105817

2021

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Unravelling the mechanisms of CE-SSFP in imaging myocardium at risk: The effect of relaxation times on myocardial contrast

Magnetic resonance imaging, 2024-09, Vol.111, p.90-102

2024

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Simulation-based quantification of native T1 and T2 of the myocardium using a modified MOLLI scheme and the importance of Magnetization Transfer

Magnetic resonance imaging, 2018-05, Vol.48, p.96-106

2018

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High performance MRI simulations of motion on multi-GPU systems

Journal of cardiovascular magnetic resonance, 2014-07, Vol.16 (1), p.48-48, Article 48

2014

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Validation of a new t2 algorithm and its uncertainty value for cardiac and liver iron load determination from MRI magnitude images

Magnetic resonance in medicine, 2016-04, Vol.75 (4), p.1717-1729

2016

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Cloud GPU-based simulations for SQUAREMR

Journal of magnetic resonance (1997), 2017-01, Vol.274, p.80-88

2017

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Using a modified 3D-printer for mapping the magnetic field of RF coils designed for fetal and neonatal imaging

Journal of magnetic resonance (1997), 2016-08, Vol.269, p.146-151

2016

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Whole-heart 4D flow can be acquired with preserved quality without respiratory gating facilitating clinical use

Journal of cardiovascular magnetic resonance, 2015-02, Vol.17 (S1), p.Q17-Q17, Article Q17

2015

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A high performance parallelizable MRI physics simulator with graphic processing unit technology

Journal of cardiovascular magnetic resonance, 2013-01, Vol.15 (S1), p.E45-E45, Article E45

2013

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A new validated T2 analysis method with certainty estimates for cardiac and liver iron load determination

Journal of cardiovascular magnetic resonance, 2015-02, Vol.17 (S1), p.P52-P52, Article P52

2015

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Accelerated cloud and GPU-based simulations for quantification of relaxation times: an example with MOLLI

Journal of cardiovascular magnetic resonance, 2016-01, Vol.18 (422), Article P42

2016

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Simulating MR imaging for the human embryonic heart

Journal of cardiovascular magnetic resonance, 2015-02, Vol.17 (S1), p.P48-P48, Article P48

2015

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Massively parallel CUDA simulations of cardiac and embryonic MRI on a cloud-based cluster

2015 Computing in Cardiology Conference (CinC), 2015, p.469-472

2015

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IEEE_Xplore

Δημόσια νοσοκομεία : κατανομή πόρων και νοσοκομειακές δαπάνες

2015

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ProQuest

Artificially Generated Training Datasets for Supervised Machine Learning Techniques in Magnetic Resonance Imaging: An Example in Myocardial Segmentation

2019 Computing in Cardiology (CinC), 2019, p.Page 1-Page 2

2019

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IEEE_Xplore

Accelerated MR physics simulations on multi-GPU systems

13th IEEE International Conference on BioInformatics and BioEngineering, 2013, p.1-3

2013

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Current and Emerging Technologies for Cardiovascular Imaging

Cardiovascular Computing - Methodologies and Clinical Applications, 2019, p.13-59

2019

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Black-Blood CMR

Basic Principles of Cardiovascular MRI, p.161-166

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Tissue Characterization: T1, T2 and T2 Techniques

Basic Principles of Cardiovascular MRI, p.167-177

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coreMRI: A high-performance, publicly available MR simulation platform on the cloud

MRISIMUL: A GPU-Based Parallel Approach to MRI Simulations

Importance of standardizing timing of hematocrit measurement when using cardiovascular magnetic resonance to calculate myocardial extracellular volume (ECV) based on pre- and post-contrast T1 mapping

Parallel simulations for QUAntifying RElaxation magnetic resonance constants (SQUAREMR): an example towards accurate MOLLI T1 measurements

Comparison of short axis and long axis acquisitions of T1 and extracellular volume mapping using MOLLI and SASHA in patients with myocardial infarction and healthy volunteers

Simulator-generated training datasets as an alternative to using patient data for machine learning: An example in myocardial segmentation with MRI

Unravelling the mechanisms of CE-SSFP in imaging myocardium at risk: The effect of relaxation times on myocardial contrast

Simulation-based quantification of native T1 and T2 of the myocardium using a modified MOLLI scheme and the importance of Magnetization Transfer

High performance MRI simulations of motion on multi-GPU systems

Validation of a new t2 algorithm and its uncertainty value for cardiac and liver iron load determination from MRI magnitude images

Cloud GPU-based simulations for SQUAREMR

Using a modified 3D-printer for mapping the magnetic field of RF coils designed for fetal and neonatal imaging

Whole-heart 4D flow can be acquired with preserved quality without respiratory gating facilitating clinical use

A high performance parallelizable MRI physics simulator with graphic processing unit technology

A new validated T2 analysis method with certainty estimates for cardiac and liver iron load determination

Accelerated cloud and GPU-based simulations for quantification of relaxation times: an example with MOLLI

Simulating MR imaging for the human embryonic heart

Massively parallel CUDA simulations of cardiac and embryonic MRI on a cloud-based cluster

Δημόσια νοσοκομεία : κατανομή πόρων και νοσοκομειακές δαπάνες

Artificially Generated Training Datasets for Supervised Machine Learning Techniques in Magnetic Resonance Imaging: An Example in Myocardial Segmentation

Accelerated MR physics simulations on multi-GPU systems

Current and Emerging Technologies for Cardiovascular Imaging

Black-Blood CMR

Tissue Characterization: T1, T2 and T2 Techniques

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