Zobrazeno 1 - 10
of 1 266
pro vyhledávání: '"P. Plein"'
Autor:
Ouédraogo, Wendkûuni C., Plein, Laura, Kaboré, Kader, Habib, Andrew, Klein, Jacques, Lo, David, Bissyandé, Tegawendé F.
The quality of a software is highly dependent on the quality of the tests it is submitted to. Writing tests for bug detection is thus essential. However, it is time-consuming when done manually. Automating test cases generation has therefore been an
Externí odkaz:
http://arxiv.org/abs/2312.14898
Software testing is a core discipline in software engineering where a large array of research results has been produced, notably in the area of automatic test generation. Because existing approaches produce test cases that either can be qualified as
Externí odkaz:
http://arxiv.org/abs/2310.06320
Autor:
Plein, Laura, Bissyandé, Tegawendé F.
Bugs are notoriously challenging: they slow down software users and result in time-consuming investigations for developers. These challenges are exacerbated when bugs must be reported in natural language by users. Indeed, we lack reliable tools to au
Externí odkaz:
http://arxiv.org/abs/2310.06310
Autor:
Noor Sharrack, Kristopher D. Knott, Gaurav S. Gulsin, Tushar Kotecha, Louise A. E. Brown, Jian L. Yeo, Aldostefano Porcari, Robert D. Adam, Sharmaine Thirunavukarasu, Amrit Chowdhary, Eylem Levelt, James C. Moon, Gerry P. McCann, Marianna Fontana, Peter Kellman, Theresa Munyombwe, Chris P. Gale, David L. Buckley, John P. Greenwood, Peter P. Swoboda, Sven Plein
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Metformin is an antihyperglycemic used to treat type 2 diabetes mellitus (T2DM). Patients with T2DM are at increased risk of cardiovascular disease. We explored the association between metformin use and cardiovascular magnetic resonance (CMR
Externí odkaz:
https://doaj.org/article/f658e09e703244519798bd09cc870527
The evolution of Generative AI and the capabilities of the newly released Large Language Models (LLMs) open new opportunities in software engineering. However, they also lead to new challenges in cybersecurity. Recently, researchers have shown the po
Externí odkaz:
http://arxiv.org/abs/2308.09183
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
Autor:
Noor Sharrack, Martine Parent, Christopher Lethaby, Ulrich Rosendahl, Alexander R Lyon, Maryum Farooq, Haqeel Jamil, John P. Greenwood, Sven Plein, Ananth Kidambi
Publikováno v:
Cardio-Oncology, Vol 10, Iss 1, Pp 1-5 (2024)
Abstract Background Cardiac angiosarcoma is a very rare and aggressive primary cardiac tumor associated with poor prognosis. Diagnosis is often delayed due to non-specific symptoms, with most cases involving metastases at the time of diagnosis. We de
Externí odkaz:
https://doaj.org/article/2432b0a53271450ebcfdd7767df0e029
Autor:
Hosamadin Assadi, Samer Alabed, Rui Li, Gareth Matthews, Kavita Karunasaagarar, Bahman Kasmai, Sunil Nair, Zia Mehmood, Ciaran Grafton-Clarke, Peter P. Swoboda, Andrew J. Swift, John P. Greenwood, Vassilios S. Vassiliou, Sven Plein, Rob J. van der Geest, Pankaj Garg
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-14 (2024)
Abstract Background Cardiac magnetic resonance (CMR) in the four-chamber plane offers comprehensive insight into the volumetrics of the heart. We aimed to develop an artificial intelligence (AI) model of time-resolved segmentation using the four-cham
Externí odkaz:
https://doaj.org/article/30cd9e20494a4215961a1de037affe09
Autor:
Jonathan Farley, Louise AE. Brown, Pankaj Garg, Ali Wahab, Joel RL. Klassen, Nicholas Jex, Sharmaine Thirunavukarasu, Amrit Chowdhary, Noor Sharrack, Miroslawa Gorecka, Hui Xue, Nigel Artis, Eylem Levelt, Erica Dall’Armellina, Peter Kellman, John P. Greenwood, Sven Plein, Peter P. Swoboda
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Pulmonary transit time (PTT) can be measured automatically from arterial input function (AIF) images of dual sequence first-pass perfusion imaging. PTT has been validated against invasive cardiac catheterisation correlating with b
Externí odkaz:
https://doaj.org/article/8bb33475c4f04c59b46c925ed22489c1
Autor:
Bonazzola, Rodrigo, Ferrante, Enzo, Ravikumar, Nishant, Xia, Yan, Keavney, Bernard, Plein, Sven, Syeda-Mahmood, Tanveer, Frangi, Alejandro F
Recent genome-wide association studies (GWAS) have been successful in identifying associations between genetic variants and simple cardiac parameters derived from cardiac magnetic resonance (CMR) images. However, the emergence of big databases includ
Externí odkaz:
http://arxiv.org/abs/2301.02916