Oguz Akbilgic to Electrocardiography
This is a "connection" page, showing publications Oguz Akbilgic has written about Electrocardiography.
Connection Strength
1.969
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Karabayir I, Wilkie G, Celik T, Butler L, Chinthala L, Ivanov A, Moore Simas TA, Davis RL, Akbilgic O. Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy. Am J Obstet Gynecol MFM. 2024 Apr; 6(4):101337.
Score: 0.665
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Akbilgic O, Kamaleswaran R, Mohammed A, Ross GW, Masaki K, Petrovitch H, Tanner CM, Davis RL, Goldman SM. Electrocardiographic changes predate Parkinson's disease onset. Sci Rep. 2020 Jul 09; 10(1):11319.
Score: 0.516
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Kamaleswaran R, Mahajan R, Akbilgic O. A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length. Physiol Meas. 2018 Mar 27; 39(3):035006.
Score: 0.441
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Karabayir I, Gunturkun F, Butler L, Goldman SM, Kamaleswaran R, Davis RL, Colletta K, Chinthala L, Jefferies JL, Bobay K, Ross GW, Petrovitch H, Masaki K, Tanner CM, Akbilgic O. Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram. Sci Rep. 2023 Jul 29; 13(1):12290.
Score: 0.160
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Kalscheur MM, Akbilgic O. AI-Enabled ECG for Paroxysmal Atrial Fibrillation Detection: One Step to Closer to the Finish Line. JACC Clin Electrophysiol. 2023 Aug; 9(8 Pt 3):1783-1785.
Score: 0.159
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Sutton JR, Mahajan R, Akbilgic O, Kamaleswaran R. PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform. IEEE J Biomed Health Inform. 2019 Jan; 23(1):59-65.
Score: 0.028