Detalhe da pesquisa
1.
New Radiomic Markers of Pulmonary Vein Morphology Associated With Post-Ablation Recurrence of Atrial Fibrillation.
IEEE J Transl Eng Health Med
; 10: 1800209, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-34976444
2.
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 Postablation.
Circ Arrhythm Electrophysiol
; 14(3): e009265, 2021 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-33576688
3.
Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.
Circ Arrhythm Electrophysiol
; 13(7): e008210, 2020 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-32538136
4.
Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.
Circ Arrhythm Electrophysiol
; 13(8): e007952, 2020 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-32628863
5.
Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.
Circ Arrhythm Electrophysiol
; 12(7): e007316, 2019 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-31216884
6.
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images.
Comput Biol Med
; 65: 124-36, 2015 Oct 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-26318113