Zobrazeno 1 - 10
of 518
pro vyhledávání: '"Swift, Andrew J"'
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
Purpose: Lung disease assessment in precapillary pulmonary hypertension (PH) is essential for appropriate patient management. This study aims to develop an artificial intelligence (AI) deep learning model for lung texture classification in CT Pulmona
Externí odkaz:
http://arxiv.org/abs/2303.11130
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
Automatic anatomical landmark localization has made great strides by leveraging deep learning methods in recent years. The ability to quantify the uncertainty of these predictions is a vital component needed for these methods to be adopted in clinica
Externí odkaz:
http://arxiv.org/abs/2203.02351
Autor:
Greenough, Michelle M., Griffiths, R. Joey, Ferrier, Maryline G., Childs, Bradley C., Silva, Chinthaka M., Di Pietro, Silvina A., Swift, Andrew J., Burks, Janae N., Martin, Aiden A., Holliday, Kiel S., Jeffries, Jason R.
Publikováno v:
In Journal of Nuclear Materials 15 April 2024 592
Autor:
Mamalakis, Michail, Swift, Andrew J., Vorselaars, Bart, Ray, Surajit, Weeks, Simonne, Ding, Weiping, Clayton, Richard H., Mackenzie, Louise S., Banerjee, Abhirup
Publikováno v:
2021, Computerized Medical Imaging and Graphics
The global pandemic of COVID-19 is continuing to have a significant effect on the well-being of global population, increasing the demand for rapid testing, diagnosis, and treatment. Along with COVID-19, other etiologies of pneumonia and tuberculosis
Externí odkaz:
http://arxiv.org/abs/2104.04006
Autor:
Mamalakis, Michail, Garg, Pankaj, Nelson, Tom, Lee, Justin, Swift, Andrew J., Wild, James M., Clayton, Richard H.
Publikováno v:
In Artificial Intelligence In Medicine September 2023 143
Autor:
Saunders, Laura C., Collier, Guilhem J., Chan, Ho-Fung, Hughes, Paul J.C., Smith, Laurie J., Watson, J.G.R., Meiring, James E., Gabriel, Zoë, Newman, Thomas, Plowright, Megan, Wade, Phillip, Eaden, James A., Thomas, Siby, Strickland, Scarlett, Gustafsson, Lotta, Bray, Jody, BSc, Marshall, Helen, Capener, David A., Armstrong, Leanne, Rodgers, Jennifer, Brook, Martin, Biancardi, Alberto M., Rao, Madhwesha R., Norquay, Graham, Rodgers, Oliver, Munro, Ryan, Ball, James E., Stewart, Neil J., Lawrie, Allan, Jenkins, R. Gisli, Grist, James T., Gleeson, Fergus, Schulte, Rolf F., Johnson, Kevin M., Wilson, Frederick J., Cahn, Anthony, Swift, Andrew J., Rajaram, Smitha, Mills, Gary H., Watson, Lisa, Collini, Paul J., Lawson, Rod, Thompson, A.A. Roger, Wild, Jim M.
Publikováno v:
In Chest September 2023 164(3):700-716
Autor:
Zhong, Liang, Leng, Shuang, Alabed, Samer, Chai, Ping, Teo, Lynette, Ruan, Wen, Low, Ting-Ting, Wild, James M., Allen, John C., Lim, Soo Teik, Tan, Ju Le, Yip, James Wei-Luen, Swift, Andrew J., Kiely, David G., Tan, Ru-San
Publikováno v:
In JACC: Cardiovascular Imaging August 2023 16(8):1022-1034