Surface Coil Intensity Correction and Non-linear Intensity Normalization Improve Pixel-Resolution Parametric Maps of Myocardial MRI Perfusion. - Li-yueh Hsu; Kenneth L. Rhoads; Anthony H. Aletras; Andrew E. Arai (MICCAI (2), 2003)

Correcting surface coil intensity inhomogeneity improves quantitative analysis of cardiac magnetic resonance images. - Li-yueh Hsu; Anthony H. Aletras; Andrew E. Arai (ISBI, 2008)

Accelerated MR physics simulations on multi-GPU systems. - Christos G. Xanthis; Ioannis E. Venetis; Anthony H. Aletras (BIBE, 2013)

MRISIMUL: A GPU-Based Parallel Approach to MRI Simulations. - Christos G. Xanthis; Ioannis E. Venetis; A. V. Chalkias; Anthony H. Aletras (IEEE Trans. Medical Imaging, 2014)

Fetal Magnetic Resonance Image Denoising Based on Homogeneity Testing and Non Local Means. - Kostas Haris; George Kantasis; Nicos Maglaveras; Anthony H. Aletras (CinC, 2015)

Massively Parallel CUDA Simulations of Cardiac and Embryonic MRI on a Cloud-based Cluster. - George Kantasis; Christos G. Xanthis; Kostas Haris; Anthony H. Aletras (CinC, 2015)

MRI Simulation-based Evaluation of ECV Calculation Using MOLLI T1 Maps. - Christos G. Xanthis; Kostas Haris; Anthony H. Aletras (CinC, 2015)

Automatic segmentation of lungs in SPECT images using active shape model trained by meshes delineated in CT images. - Grigorios-Aris Cheimariotis; Mariam Al-Mashat; Kostas Haris; Anthony H. Aletras; Jonas Jögi; Marika Bajc; Nikolaos Maglaveras; Einar Heiberg (EMBC, 2016)

Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software. - Sebastian Bidhult; George Kantasis; Anthony H. Aletras; Håkan Arheden; Einar Heiberg; Erik Hedström (BMC Medical Imaging, 2016)

Automatic segmentation of myocardium at risk from contrast enhanced SSFP CMR: validation against expert readers and SPECT. - Jane Tufvesson; Marcus Carlsson; Anthony H. Aletras; Henrik Engblom; Jean-François Deux; Sasha Koul; Peder Sörensson; John Pernow; Dan Atar; David Erlinge; Håkan Arheden; Einar Heiberg (BMC Medical Imaging, 2016)

Artificially Generated Training Datasets for Supervised Machine Learning Techniques in Magnetic Resonance Imaging: An Example in Myocardial Segmentation. - Christos G. Xanthis; Kostas Haris; Dimitrios Filos; Anthony H. Aletras (CinC, 2019)

Simulator-generated training datasets as an alternative to using patient data for machine learning: An example in myocardial segmentation with MRI. - Christos G. Xanthis; Dimitrios Filos; Kostas Haris; Anthony H. Aletras (Comput. Methods Programs Biomed., 2021)

Roadmap on Signal Processing for Next Generation Measurement Systems. - Dimitris K. Iakovidis; Melanie Ooi; Ye Chow Kuang; Serge Demidenko; Alexandr Shestakov; Vladimir Sinistin; Manus P. Henry; Andrea Sciacchitano; Stefano Discetti; Silvano Donati; Michele Norgia; Andreas Menychtas; et al. (CoRR, 2021)

Neural networks with personalized training for improved MOLLI T1 mapping. - Olympia Gkatsoni; Christos G. Xanthis; Sebastian Johansson; Einar Heiberg; Håkan Arheden; Anthony H. Aletras (BMC Medical Imaging, 2025)