Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Breeuwer P"'
Autor:
Ibrahim, Mahmoud, Khalil, Yasmina Al, Amirrajab, Sina, Sun, Chang, Breeuwer, Marcel, Pluim, Josien, Elen, Bart, Ertaylan, Gokhan, Dumontier, Michel
This paper presents a comprehensive systematic review of generative models (GANs, VAEs, DMs, and LLMs) used to synthesize various medical data types, including imaging (dermoscopic, mammographic, ultrasound, CT, MRI, and X-ray), text, time-series, an
Externí odkaz:
http://arxiv.org/abs/2407.00116
Autor:
Merkofer, Julian P., van de Sande, Dennis M. J., Amirrajab, Sina, Drenthen, Gerhard S., Veta, Mitko, Jansen, Jacobus F. A., Breeuwer, Marcel, van Sloun, Ruud J. G.
This work proposes a method to accelerate the acquisition of high-quality edited magnetic resonance spectroscopy (MRS) scans using machine learning models taking the sample covariance matrix as input. The method is invariant to the number of transien
Externí odkaz:
http://arxiv.org/abs/2306.02984
Autor:
van de Sande, Dennis M. J., Merkofer, Julian P., Amirrajab, Sina, Veta, Mitko, van Sloun, Ruud J. G., Versluis, Maarten J., Jansen, Jacobus F. A., Brink, Johan S. van den, Breeuwer, Marcel
This literature review presents a comprehensive overview of machine learning (ML) applications in proton magnetic resonance spectroscopy (MRS). As the use of ML techniques in MRS continues to grow, this review aims to provide the MRS community with a
Externí odkaz:
http://arxiv.org/abs/2305.09621
Autor:
Richard Crawley, Sina Amirrajab, Didier Lustermans, Robert J. Holtackers, Sven Plein, Mitko Veta, Marcel Breeuwer, Amedeo Chiribiri, Cian M. Scannell
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-6 (2024)
Abstract Quantification of myocardial scar from late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) images can be facilitated by automated artificial intelligence (AI)-based analysis. However, AI models are susceptible to domain
Externí odkaz:
https://doaj.org/article/8ecc0d68982c470ebe4685d06de9214d
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2023)
We propose a method for synthesizing cardiac magnetic resonance (MR) images with plausible heart pathologies and realistic appearances for the purpose of generating labeled data for the application of supervised deep-learning (DL) training. The image
Externí odkaz:
http://arxiv.org/abs/2209.04223
Autor:
Amirrajab, Sina, Khalil, Yasmina Al, Lorenz, Cristian, Weese, Jurgen, Pluim, Josien, Breeuwer, Marcel
There has been considerable interest in the MR physics-based simulation of a database of virtual cardiac MR images for the development of deep-learning analysis networks. However, the employment of such a database is limited or shows suboptimal perfo
Externí odkaz:
http://arxiv.org/abs/2208.04874
Autor:
Lustermans, Didier R. P. R. M., Amirrajab, Sina, Veta, Mitko, Breeuwer, Marcel, Scannell, Cian M.
Background: The clinical utility of late gadolinium enhancement (LGE) cardiac MRI is limited by the lack of standardization, and time-consuming postprocessing. In this work, we tested the hypothesis that a cascaded deep learning pipeline trained with
Externí odkaz:
http://arxiv.org/abs/2109.12940
Autor:
Jesper Pilmeyer, Rolf Lamerichs, Faroeq Ramsaransing, Jacobus F. A. Jansen, Marcel Breeuwer, Svitlana Zinger
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
IntroductionApproximately one in six people will experience an episode of major depressive disorder (MDD) in their lifetime. Effective treatment is hindered by subjective clinical decision-making and a lack of objective prognostic biomarkers. Functio
Externí odkaz:
https://doaj.org/article/f1f91cc574dd4042b4c824607d9f43e2
Autor:
R. Kroes, Y. Winkel, J. A. J. Breeuwer, E. E. van Loon, S. P. Loader, J. S. Maclaine, P. F. M. Verdonschot, H. G. van der Geest
Publikováno v:
BMC Ecology and Evolution, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract According to the IUCN Red List the anadromous houting Coregonus oxyrinchus is categorized as ‘extinct’. However, this extinct status might be incorrect because taxonomic difference between C. oxyrinchus and the closely related C. lavaret
Externí odkaz:
https://doaj.org/article/db9e521fb0b6436088254f16e58f3dd1
Autor:
Nathan Wong, Cian Scannell, PhD, Richard Crawley, MD, BSc, Can Karamanli, Marcel Breeuwer, PhD, Andrew King, PhD, Amedeo Chiribiri, PhD, MB, FSCMR
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100147- (2024)
Externí odkaz:
https://doaj.org/article/972e3a4d23cc47fbb85e698ae5d70395