Κατάλογος ενδεικτικών δημοσιεύσεων του τμήματος Ιατρικής ΑΠΘ σε διεθνή επιστημονικά περιοδικά κατά τα τελευταία 5 έτη.
Export 11 results:
Author Title [ Type] Year Filters: Author is Filos, Dimitrios [Clear All Filters]
Data Quality Check in Cancer Imaging Research: Deploying and Evaluating the DIQCT Tool.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
(2022). IDENTIFYING THE PH.D. STUDENTS’ NEEDS FOR CAREER ENHANCEMENT SKILLS.
International Conference on Education and New DevelopmentsEducation and New Developments 2022 – Volume 2.
(2022). Beat-to-Beat P-Wave Analysis Outperforms Conventional P-Wave Indices in Identifying Patients with a History of Paroxysmal Atrial Fibrillation during Sinus Rhythm.
Diagnostics. 11(9), 1694.
(2021). Beat-to-beat P-wave morphology as a predictor of paroxysmal atrial fibrillation.
Computer Methods and Programs in Biomedicine. 151, 111 - 121.
(2017). Beat-to-beat P-wave morphology as a predictor of paroxysmal atrial fibrillation..
Comput Methods Programs Biomed. 151, 111-121.
(2017). The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography.
Applied Sciences. 12(17), 8755.
(2022). P wave analysis with wavelets identifies hypertensive patients at risk of recurrence of atrial fibrillation: A case-control study and 1year follow-up..
J Electrocardiol. 48(5), 845-52.
(2015). P-wave Indices as Predictors of Atrial Fibrillation: The Lion from a Claw.
Current Problems in Cardiology. 49(1), 102051.
(2024). 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. 105817.
(2020). Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies..
Front Physiol. 10, 742.
(2019). Wavelet-based analysis of P waves identifies patients with lone atrial fibrillation: a cross-sectional pilot study..
Int J Cardiol. 174(2), 389-92.
(2014).