Congenital pulmonary vein stenosis at an African tertiary care centre over a 25-year period

Autor: Lebea, Mamaila, Cilliers, Antoinette M., Ntsinjana, Hopewell N.

Publikováno v: SA Heart Journal, Vol 16, Iss 4, Pp 318-323 (2019)

Background: Congenital pulmonary vein stenosis (PVS) is a rare condition, which results from abnormal embryological incorporation of the common pulmonary vein into the left atrium. Methods: A retrospective descriptive case series study was conduct

Externí odkaz: https://doaj.org/article/9c499303684748269eace36efb2786f8

Ventriculoarterial coupling in palliated hypoplastic left heart syndrome: Noninvasive assessment of the effects of surgical arch reconstruction and shunt type

Autor: Biglino, Giovanni, Giardini, Alessandro, Ntsinjana, Hopewell N., Schievano, Silvia, Hsia, Tain-Yen, Taylor, Andrew M.

Publikováno v: In The Journal of Thoracic and Cardiovascular Surgery October 2014 148(4):1526-1533

The Role of Cardiovascular Magnetic Resonance in Pediatric Congenital Heart Disease

Autor: Taylor Andrew M, Hughes Marina L, Ntsinjana Hopewell N

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 13, Iss 1, p 51 (2011)

Abstract Cardiovascular magnetic resonance (CMR) has expanded its role in the diagnosis and management of congenital heart disease (CHD) and acquired heart disease in pediatric patients. Ongoing technological advancements in both data acquisition and

Externí odkaz: https://doaj.org/article/37c9f0301b2b401493c29cd703860aba

Detecting clinically meaningful shape clusters in medical image data: metrics analysis for hierarchical clustering applied to healthy and pathological aortic arches

Autor: Bruse, Jan L., Zuluaga, Maria, Khushnood, Abbas, Mcleod, Kristin, Ntsinjana, Hopewell N., Hsia, Tain-Yen, Sermesant, Maxime, Pennec, Xavier, Taylor, Andrew M., Schievano, Silvia

Publikováno v: IEEE Transactions on Biomedical Engineering
IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2017, pp.1-13. ⟨10.1109/TBME.2017.2655364⟩
IEEE Transactions on Biomedical Engineering, 2017, pp.1-13. ⟨10.1109/TBME.2017.2655364⟩

International audience; Today's growing medical image databases call for novel processing tools to structure the bulk of data and extract clinically relevant information. Unsupervised hierarchical clustering may reveal clusters within anatomical shap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2c36c150fcfc6addffc0acbee76192b8
https://hal.inria.fr/hal-01421202

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