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Akademický článek

The Angle of Progression at Station 0 and in Magnetic Resonance and Transperineal Ultrasound Assessment

Autor: D. Iliescu, S. Tudorache, R. Dragusin, O. Carbunaru, C. Patru, M. Florea, I. A. Gheonea

Publikováno v: Case Reports in Obstetrics and Gynecology, Vol 2015 (2015)

The transperineal ultrasound (TPU) value of the angle of progression (AOP) during fetal head engagement, at station 0, is a critical cut-off for current obstetrical practice, especially when intrapartum instrumental interventions are required. Still,

Externí odkaz: https://doaj.org/article/01c17f0358a6410483939a1996af1861

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Prenatal findings and pregnancy outcome in fetuses with right and double aortic arch. A 10-year experience at a tertiary center

Autor: Anne Marie Badiu, Stefania Tudorache, Mihai Ioana, Alexandru Comănescu, George Lucian Zorilă, George Alin Stoica, Dan Ruican, C. Patru, Dominic Gabriel Iliescu, Anca Maria Istrate-Ofiţeru, A M Petrescu

Publikováno v: Romanian Journal of Morphology and Embryology

Objective: Our objective was to evaluate the accuracy of the prenatal diagnosis and the relation between the type of right aortic arch (RAA) with other intra- or extracardiac (EC) and chromosomal anomalies. Methods: A retrospective, observational stu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f651db8e789d51d63813e537b04e8f98
https://doi.org/10.47162/rjme.61.4.19

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An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks

Autor: Dominic Gabriel Iliescu, Rodica Daniela Nagy, Ruxandra Stoean, Catalin Stoean, Mircea Hotoleanu, C. Patru

Publikováno v: ICSTCC

Convolutional neural networks have obtained note-worthy results in various fields of medicine, giving an objective, virtual second opinion to the physicians concerning the presence of disease indicators. Usually, it is believed that the performance o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be947946e161afda1eeb0ecf9a86406a
https://doi.org/10.1109/icstcc52150.2021.9606852

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Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound

Autor: Ruxandra Stoean, C. Patru, Andreea Sorina Marcu, Dan Ruican, Dominic Gabriel Iliescu, Vlad Ilie, Catalin Stoean, Miguel Atencia, Mircea Hotoleanu, Gonzalo Joya, Rares Trocan, Rodica Daniela Nagy

Publikováno v: Advances in Computational Intelligence ISBN: 9783030850296
IWANN (1)

The current paper challenges convolutional neural networks to address the computationally undebated task of recognizing four key views in first trimester fetal heart scanning (the aorta, the arches, the atrioventricular flows and the crossing of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96284183159797fb1026ab149778d2e7
https://doi.org/10.1007/978-3-030-85030-2_1

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Sonographic Evaluation of the Mechanism of Active Labor (SonoLabor Study): observational study protocol regarding the implementation of the sonopartogram

Autor: Laurentiu Mihai Dira, Stefania Tudorache, M. Cara, Smaranda Belciug, L. Zorila, M. Florea, C. Patru, Rodica Daniela Nagy, Ruxandra Stoean, Marius Bogdan Novac, Dominic Gabriel Iliescu, Panagiotis Antsaklis, Dagklis Themistoklis, George Daskalakis, R. Dragusin, Dan Ruican

Publikováno v: BMJ Open, Vol 11, Iss 9 (2021)
BMJ Open

IntroductionOver the last decades, a large body of literature has shown that intrapartum clinical digital pelvic estimations of fetal head position, station and progression in the pelvic canal are less accurate, compared with ultrasound (US) scan. Gi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d231d8377a82d78b0ce10ecce63ca2
https://doi.org/10.1136/bmjopen-2020-047188

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