Deep-learning enhancement of large scale numerical simulations

Autor: Leeuwen, C. van, Podareanu, D., Codreanu, V., Cai, M.X., Berg, A., Portegies Zwart, S.F., Stoffer, R., Veerman, M., Heerwaarden, C. van, Otten, S., Caron, S., Geng, C., Ambrosetti, F., Bonvin, A.M.J.J.

Publikováno v: ArXiv e-prints, arXiv:2004.03454
STARTPAGE=arXiv:2004.03454;TITLE=ArXiv e-prints

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::475a53a105e05fbb8d28bb27d2c344de
https://hdl.handle.net/1887/3142252

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.

Autor: Marini N; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland. niccolo.marini@hevs.ch.; Centre Universitaire d'Informatique, University of Geneva, Geneva, Switzerland. niccolo.marini@hevs.ch., Marchesin S; Department of Information Engineering, University of Padua, Padua, Italy., Otálora S; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland.; Centre Universitaire d'Informatique, University of Geneva, Geneva, Switzerland., Wodzinski M; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland.; Department of Measurement and Electronics, AGH University of Science and Technology, Krakow, Poland., Caputo A; Department of Pathology, Ruggi University Hospital, Salerno, Italy.; Pathology Unit, Gravina Hospital Caltagirone ASP, Catania, Italy., van Rijthoven M; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands., Aswolinskiy W; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands., Bokhorst JM; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands., Podareanu D; SURFsara, Amsterdam, The Netherlands., Petters E; MicroscopeIT, Wrocław, Poland., Boytcheva S; Sirma AI, Sofia, Bulgaria.; Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria., Buttafuoco G; Pathology Unit, Gravina Hospital Caltagirone ASP, Catania, Italy., Vatrano S; Pathology Unit, Gravina Hospital Caltagirone ASP, Catania, Italy., Fraggetta F; Pathology Unit, Gravina Hospital Caltagirone ASP, Catania, Italy.; Pathology Unit, Cannizzaro Hospital, Catania, Italy., van der Laak J; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.; Center for Medical Image Science and Visualization, Linkoping University, Linkoping, Sweden., Agosti M; Department of Information Engineering, University of Padua, Padua, Italy., Ciompi F; Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands., Silvello G; Department of Information Engineering, University of Padua, Padua, Italy., Muller H; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland.; Medical Faculty, University of Geneva, Geneva, Switzerland., Atzori M; Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), Sierre, Switzerland.; Department of Neuroscience, University of Padua, Padua, Italy.

Publikováno v: NPJ digital medicine [NPJ Digit Med] 2022 Jul 22; Vol. 5 (1), pp. 102. Date of Electronic Publication: 2022 Jul 22.

Event generation and statistical sampling for physics with deep generative models and a density information buffer.

Autor: Otten S; Institute for Mathematics, Astro- and Particle Physics IMAPP Radboud Universiteit, Nijmegen, The Netherlands. Sydney.Otten@ru.nl.; GRAPPA, University of Amsterdam, Amsterdam, The Netherlands. Sydney.Otten@ru.nl., Caron S; Institute for Mathematics, Astro- and Particle Physics IMAPP Radboud Universiteit, Nijmegen, The Netherlands.; Nikhef, Amsterdam, The Netherlands., de Swart W; Institute for Mathematics, Astro- and Particle Physics IMAPP Radboud Universiteit, Nijmegen, The Netherlands., van Beekveld M; Institute for Mathematics, Astro- and Particle Physics IMAPP Radboud Universiteit, Nijmegen, The Netherlands.; Nikhef, Amsterdam, The Netherlands., Hendriks L; Institute for Mathematics, Astro- and Particle Physics IMAPP Radboud Universiteit, Nijmegen, The Netherlands., van Leeuwen C; SURFsara, Amsterdam, The Netherlands., Podareanu D; SURFsara, Amsterdam, The Netherlands., Ruiz de Austri R; Instituto de Fisica Corpuscular, IFIC-UV/CSIC University of Valencia, Valencia, Spain., Verheyen R; Institute for Mathematics, Astro- and Particle Physics IMAPP Radboud Universiteit, Nijmegen, The Netherlands.

Publikováno v: Nature communications [Nat Commun] 2021 May 20; Vol. 12 (1), pp. 2985. Date of Electronic Publication: 2021 May 20.

Harnessing machine learning for sustainable futures: advancements in renewable energy and climate change mitigation.

Autor: Ukoba, Kingsley¹ (AUTHOR), Onisuru, Oluwatayo Racheal² (AUTHOR), Jen, Tien-Chien¹ (AUTHOR) tjen@uj.ac.za

Publikováno v: Bulletin of the National Research Centre. 10/8/2024, Vol. 48 Issue 1, p1-15. 15p.

Emulation of Cloud Microphysics in a Climate Model.

Autor: Perkins, W. Andre¹ (AUTHOR) andrep@allenai.org, Brenowitz, Noah D.² (AUTHOR), Bretherton, Christopher S.¹ (AUTHOR), Nugent, Jacqueline M.³ (AUTHOR)

Publikováno v: Journal of Advances in Modeling Earth Systems. Apr2024, Vol. 16 Issue 4, p1-18. 18p.