Výsledky vyhledávání - "Gulsun Mehmet A"

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Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching

Autor: Wu, Yifan, Jena, Rohit, Gulsun, Mehmet, Singh, Vivek, Sharma, Puneet, Gee, James C.

Coronary angiography is the gold standard imaging technique for studying and diagnosing coronary artery disease. However, the resulting 2D X-ray projections lose 3D information and exhibit visual ambiguities. In this work, we aim to establish dense c

Externí odkaz: http://arxiv.org/abs/2312.11593

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AI-based, automated chamber volumetry from gated, non-contrast CT

Autor: Jacob, Athira J, Abdelkarim, Ola, Zook, Salma, Kragholm, Kristian Hay, Gupta, Prantik, Cocker, Myra, Giraldo, Juan Ramirez, Doherty, Jim O, Schoebinger, Max, Schwemmer, Chris, Gulsun, Mehmet A, Rapaka, Saikiran, Sharma, Puneet, Chang, Su-Min

Background: Accurate chamber volumetry from gated, non-contrast cardiac CT (NCCT) scans can be useful for potential screening of heart failure. Objectives: To validate a new, fully automated, AI-based method for cardiac volume and myocardial mass qua

Externí odkaz: http://arxiv.org/abs/2311.03371

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Akademický článek

Fast semi-automated analysis of pulse wave velocity in the thoracic aorta using high temporal resolution 4D flow MRI

Autor: Spottiswoode Bruce, Stalder Aurelien F, Gulsun Mehmet A, Campione Karissa F, Carr Maria, Wasielewski Marie, Markl Michael

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 15, Iss Suppl 1, p P87 (2013)

Externí odkaz: https://doaj.org/article/770c529b8b4a4744ad731b42dfa1c321

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Akademický článek

Determination of time-varying pressure field from phase contrast MRI data

Autor: Itu Lucian M, Sharma Puneet, Gulsun Mehmet A, Mihalef Viorel, Kamen Ali, Greiser Andreas

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 14, Iss Suppl 1, p W36 (2012)

Externí odkaz: https://doaj.org/article/99a52c5cb4fc42ef9ef134075a402a6d

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Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies

Autor: Ciusdel, Costin, Turcea, Alexandru, Puiu, Andrei, Itu, Lucian, Calmac, Lucian, Weiss, Emma, Margineanu, Cornelia, Badila, Elisabeta, Berger, Martin, Redel, Thomas, Passerini, Tiziano, Gulsun, Mehmet, Sharma, Puneet

Invasive coronary angiography (ICA) is the gold standard in Coronary Artery Disease (CAD) imaging. Detection of the end-diastolic frame (EDF) and, in general, cardiac phase detection on each temporal frame of a coronary angiography acquisition is of

Externí odkaz: http://arxiv.org/abs/1811.02797

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