Zobrazeno 1 - 10
of 1 739
pro vyhledávání: '"Alblas, A."'
Autor:
Suk, Julian, Alblas, Dieuwertje, Hutten, Barbara A., Wiegman, Albert, Brune, Christoph, van Ooij, Pim, Wolterink, Jelmer M.
Hemodynamic quantities are valuable biomedical risk factors for cardiovascular pathology such as atherosclerosis. Non-invasive, in-vivo measurement of these quantities can only be performed using a select number of modalities that are not widely avai
Externí odkaz:
http://arxiv.org/abs/2408.07110
Personalized 3D vascular models can aid in a range of diagnostic, prognostic, and treatment-planning tasks relevant to cardiovascular disease management. Deep learning provides a means to obtain such models automatically from image data. Ideally, a u
Externí odkaz:
http://arxiv.org/abs/2403.15314
Blood vessel orientation as visualized in 3D medical images is an important descriptor of its geometry that can be used for centerline extraction and subsequent segmentation and visualization. Arteries appear at many scales and levels of tortuosity,
Externí odkaz:
http://arxiv.org/abs/2311.05400
Autor:
Thibeau-Sutre, Elina, Alblas, Dieuwertje, Buurman, Sophie, Brune, Christoph, Wolterink, Jelmer M.
The application of deep learning models to large-scale data sets requires means for automatic quality assurance. We have previously developed a fully automatic algorithm for carotid artery wall segmentation in black-blood MRI that we aim to apply to
Externí odkaz:
http://arxiv.org/abs/2308.09538
Abdominal aortic aneurysms (AAAs) are progressive dilatations of the abdominal aorta that, if left untreated, can rupture with lethal consequences. Imaging-based patient monitoring is required to select patients eligible for surgical repair. In this
Externí odkaz:
http://arxiv.org/abs/2303.01069
Personalised 3D vascular models are valuable for diagnosis, prognosis and treatment planning in patients with cardiovascular disease. Traditionally, such models have been constructed with explicit representations such as meshes and voxel masks, or im
Externí odkaz:
http://arxiv.org/abs/2207.14663
Autor:
Helfenstein, Julian, Ringeval, Bruno, Tamburini, Federica, Mulder, Vera L., Goll, Daniel S., He, Xianjin, Alblas, Edwin, Wang, Yingping, Mollier, Alain, Frossard, Emmanuel
Publikováno v:
In One Earth 18 October 2024 7(10):1727-1740
Carotid artery vessel wall thickness measurement is an essential step in the monitoring of patients with atherosclerosis. This requires accurate segmentation of the vessel wall, i.e., the region between an artery's lumen and outer wall, in black-bloo
Externí odkaz:
http://arxiv.org/abs/2112.01137
Autor:
Zonneveld, Thomas P, Vermeer, Sarah E, van Zwet, Erik W, Groot, Adrien E D, Algra, Ale, Aerden, Leo A M, Alblas, Kees C L, de Beer, Frank, Brouwers, Paul J A M, de Gans, Koen, van Gemert, H Maarten A, van Ginneken, Bart C A M, Grooters, Gerke S, Halkes, Patricia H A, van der Heijden-Montfroy, Tonny A M H G, Jellema, Korné, de Jong, Sonja W, Lövenich-Ciccarello, Harry, van der Meulen, Willem D M, Peters, Edwin W, van der Ree, Taco C, Remmers, Michel J M, Richard, Edo, Rovers, Jörgen M P, Saxena, Ritu, van Schaik, Sander M, Schonewille, Wouter J, Schreuder, Tobien A H C M L, de Schryver, Els L L M, Schuiling, Wouter J, Spaander, Fianne H, van Tuijl, Julia H, Visser, Marieke C, Zinkstok, Sanne M, Zock, Elles, Dippel, Diederik W J, Kappelle, L Jaap, van Oostenbrugge, Robert J, Roos, Yvo B W E M, Vermeij, Frederique H, Wermer, Marieke J H, van der Worp, H Bart, Nederkoorn, Paul J, Kruyt, Nyika D *
Publikováno v:
In The Lancet Neurology August 2024 23(8):807-815
Publikováno v:
In Annals of Anatomy August 2024 255