Zobrazeno 1 - 10
of 1 568
pro vyhledávání: '"P Extermann"'
Autor:
Oala, Luis, Aversa, Marco, Nobis, Gabriel, Willis, Kurt, Neuenschwander, Yoan, Buck, Michèle, Matek, Christian, Extermann, Jerome, Pomarico, Enrico, Samek, Wojciech, Murray-Smith, Roderick, Clausen, Christoph, Sanguinetti, Bruno
Camera images are ubiquitous in machine learning research. They also play a central role in the delivery of important services spanning medicine and environmental surveying. However, the application of machine learning models in these domains has bee
Externí odkaz:
http://arxiv.org/abs/2211.02578
Autor:
Liu, Yan, Dong, Jonathan, Schmidt, Cédric, Boquet-Pujadas, Aleix, Extermann, Jérôme, Unser, Michael
Publikováno v:
Optics Letters, 47(11), 2618-2621 (2022)
Optical Projection Tomography (OPT) is a powerful tool for 3D imaging of mesoscopic samples, thus of great importance to image whole organs for the study of various disease models in life sciences. OPT is able to achieve resolution at a few tens of m
Externí odkaz:
http://arxiv.org/abs/2112.12602
Autor:
P. A. L. Seghers, Shabbir M. H. Alibhai, Nicolò Matteo Luca Battisti, Ravindran Kanesvaran, Martine Extermann, Anita O’Donovan, Sophie Pilleron, Anna Rachelle Mislang, Najia Musolino, Kwok-Leung Cheung, Anthony Staines, Charis Girvalaki, Pierre Soubeyran, Johanneke E. A. Portielje, Siri Rostoft, Marije E. Hamaker, Dominic Trépel, Shane O’Hanlon
Publikováno v:
Global Health Research and Policy, Vol 8, Iss 1, Pp 1-8 (2023)
Abstract Most cancers occur in older people and the burden in this age group is increasing. Over the past two decades the evidence on how best to treat this population has increased rapidly. However, implementation of new best practices has been slow
Externí odkaz:
https://doaj.org/article/c937b0a9ea1845edaec3eb6349dd25d1
Autor:
Pomarico, Enrico, Schmidt, Cédric, Chays, Florian, Nguyen, David, Planchette, Arielle, Tissot, Audrey, Roux, Adrien, Pagès, Stéphane, Batti, Laura, Clausen, Christoph, Lasser, Theo, Radenovic, Aleksandra, Sanguinetti, Bruno, Extermann, Jérôme
The impressive growth of data throughput in optical microscopy has triggered a widespread use of supervised learning (SL) models running on compressed image datasets for efficient automated analysis. However, since lossy image compression risks to pr
Externí odkaz:
http://arxiv.org/abs/2009.12570
Autor:
Arielle Louise Planchette, Cédric Schmidt, Olivier Burri, Mercedes Gomez de Agüero, Aleksandra Radenovic, Alessio Mylonas, Jérôme Extermann
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-10 (2023)
A workflow for 3D characterization of the mouse small intestine with optical projection tomography allows the identification of sparsely-distributed regions of interest in large volumes while retaining compatibility with high-resolution microscopy mo
Externí odkaz:
https://doaj.org/article/7dab63832bc1437a8c13a895e5cabdfe
Akademický článek
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Akademický článek
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Autor:
Céline Loussert-Fonta, Luc Stoppini, Yoan Neuenschwander, Ophélie Righini, Denis Prim, Cédric Schmidt, Marc O. Heuschkel, Loris Gomez Baisac, Milica Jovic´, Marc E. Pfeifer, Jérôme Extermann, Adrien Roux
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Traumatic brain injury (TBI) is caused by a wide range of physical events and can induce an even larger spectrum of short- to long-term pathophysiologies. Neuroscientists have relied on animal models to understand the relationship between mechanical
Externí odkaz:
https://doaj.org/article/ec0ab00cdfdd44f79b50333ea8bd612d
Autor:
Marchand, Paul J., Bouwens, Arno, Szlag, Daniel, Nguyen, David, Descloux, Adrien, Sison, Miguel, Coquoz, Séverine, Extermann, Jérôme, Lasser, Theo
We present a novel extended-focus optical coherence microscope (OCM) attaining 0.7 {\mu}m axial and 0.4 {\mu}m lateral resolution maintained over a depth of 40 {\mu}m, while preserving the advantages of Fourier domain OCM. Our method uses an ultra-br
Externí odkaz:
http://arxiv.org/abs/1706.00490
Autor:
Enrico Pomarico, Cédric Schmidt, Florian Chays, David Nguyen, Arielle Planchette, Audrey Tissot, Adrien Roux, Stéphane Pagès, Laura Batti, Christoph Clausen, Theo Lasser, Aleksandra Radenovic, Bruno Sanguinetti, Jérôme Extermann
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The growth of data throughput in optical microscopy has triggered the extensive use of supervised learning (SL) models on compressed datasets for automated analysis. Investigating the effects of image compression on SL predictions is therefo
Externí odkaz:
https://doaj.org/article/35ed882320f44735a6c57d498f103d41