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Interface Focus|December 18, 2023
FK-means: automatic atrial fibrosis segmentation using fractal-guided K-means clustering with Voronoi-clipping feature extraction of anatomical structuresMarjan Firouznia, Markus Henningsson, Carl-Johan CarlhällScientific Reports|July 15, 2025
Poincare guided geometric UNet for left atrial epicardial adipose tissue segmentation in Dixon MRI imagesMarjan Firouznia, Erik Ylipää, Markus Henningsson, et al.The International Journal of Neuroscience|January 22, 2025
Machine learning analysis of glutamate receptor activity in developing locus coeruleus neuronsMarjan Firouznia, Masoumeh Kourosh-Arami, Karim Faez, et al.Radiology. Cardiothoracic Imaging|August 14, 2025
Head-to-Head Comparison between MRI and CT in the Evaluation of Volume and Quality of Epicardial Adipose TissueMarjan Firouznia, David Molnar, Carl Edin, et al.Circulation. Arrhythmia and Electrophysiology|February 12, 2021
Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation PostablationMarjan Firouznia, Albert K Feeny, Michael A LaBarbera, et al.IEEE Journal of Translational Engineering in Health and Medicine|January 3, 2022
New Radiomic Markers of Pulmonary Vein Morphology Associated With Post-Ablation Recurrence of Atrial FibrillationMichael A Labarbera, Thomas Atta-Fosu, Albert K Feeny, et al.Circulation. Arrhythmia and Electrophysiology|July 7, 2020
Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac ElectrophysiologyAlbert K Feeny, Mina K Chung, Anant Madabhushi, et al.Pageof 1