Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tripathi, Prasun C."'
Autor:
Tripathi, Prasun C, Tabakhi, Sina, Suvon, Mohammod N I, Schöb, Lawrence, Alabed, Samer, Swift, Andrew J, Zhou, Shuo, Lu, Haiping
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered a gold standard for assessing cardiac hemodynamics while non-invasive
Externí odkaz:
http://arxiv.org/abs/2404.04718
Autor:
Suvon, Mohammod N. I., Tripathi, Prasun C., Fan, Wenrui, Zhou, Shuo, Liu, Xianyuan, Alabed, Samer, Osmani, Venet, Swift, Andrew J., Chen, Chen, Lu, Haiping
Recent advancements in non-invasive detection of cardiac hemodynamic instability (CHDI) primarily focus on applying machine learning techniques to a single data modality, e.g. cardiac magnetic resonance imaging (MRI). Despite their potential, these a
Externí odkaz:
http://arxiv.org/abs/2403.13658
Autor:
Tripathi, Prasun C., Suvon, Mohammod N. I., Schobs, Lawrence, Zhou, Shuo, Alabed, Samer, Swift, Andrew J., Lu, Haiping
Heart failure is a serious and life-threatening condition that can lead to elevated pressure in the left ventricle. Pulmonary Arterial Wedge Pressure (PAWP) is an important surrogate marker indicating high pressure in the left ventricle. PAWP is dete
Externí odkaz:
http://arxiv.org/abs/2303.07540
Autor:
Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6–10, 2024. MI
Autor:
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, whi