Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Estibaliz Gómez"'
Autor:
Estibaliz Gómez-de-Mariscal, Hanna Grobe, Joanna W Pylvänäinen, Laura Xénard, Ricardo Henriques, Jean-Yves Tinevez, Guillaume Jacquemet
Publikováno v:
PLoS Biology, Vol 22, Iss 8, p e3002740 (2024)
In life sciences, tracking objects from movies enables researchers to quantify the behavior of single particles, organelles, bacteria, cells, and even whole animals. While numerous tools now allow automated tracking from video, a significant challeng
Externí odkaz:
https://doaj.org/article/50ab8682fe95494880f7a166e182d85b
Autor:
Caterina Fuster-Barceló, Carlos García-López-de-Haro, Estibaliz Gómez-de-Mariscal, Wei Ouyang, Jean-Christophe Olivo-Marin, Daniel Sage, Arrate Muñoz-Barrutia
Publikováno v:
Biological Imaging, Vol 4 (2024)
This manuscript showcases the latest advancements in deepImageJ, a pivotal Fiji/ImageJ plugin for bioimage analysis in life sciences. The plugin, known for its user-friendly interface, facilitates the application of diverse pre-trained convolutional
Externí odkaz:
https://doaj.org/article/51325f00c74b43acad8f4da92d62e6e4
Autor:
Christoph Spahn, Estibaliz Gómez-de-Mariscal, Romain F. Laine, Pedro M. Pereira, Lucas von Chamier, Mia Conduit, Mariana G. Pinho, Guillaume Jacquemet, Séamus Holden, Mike Heilemann, Ricardo Henriques
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-18 (2022)
DeepBacs guides users without expertise in machine learning methods to leverage state-of-the-art artificial neural networks to analyse bacterial microscopy images.
Externí odkaz:
https://doaj.org/article/19fbd4827d134373b89f42b5d1bcdbc7
Autor:
Asier Ortuondo, Ángel Serrano, Artem Nikulin, Luis Bartolomé, Yaroslav Grosu, Estibaliz Gómez, Gabriel A. López, Elena Palomo del Barrio
Publikováno v:
International Journal of Thermofluids, Vol 17, Iss , Pp 100308- (2023)
Pool boiling of liquid water has many practical applications in daily life and industry, including steam accumulators. Thus, pool boiling on polymeric surface coatings with nanoporous microparticle addition for boiling heat transfer coefficient (HTC)
Externí odkaz:
https://doaj.org/article/96e93a22556c425586286943fc44fc6a
Autor:
Estibaliz Gómez-de-Mariscal, Vanesa Guerrero, Alexandra Sneider, Hasini Jayatilaka, Jude M. Phillip, Denis Wirtz, Arrate Muñoz-Barrutia
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Biomedical research has come to rely on p-values as a deterministic measure for data-driven decision-making. In the largely extended null hypothesis significance testing for identifying statistically significant differences among groups of o
Externí odkaz:
https://doaj.org/article/acc2d674dbab488ba4d3b0327ac6fb30
Autor:
de Haro, Carlos Garcia Lopez, Dallongeville, Stephane, Musset, Thomas, de Mariscal, Estibaliz Gomez, Sage, Daniel, Ouyang, Wei, Munoz-Barrutia, Arrate, Tinevez, Jean-Yves, Olivo-Marin, Jean-Christophe
We present JDLL, an agile Java library that offers a comprehensive toolset/API to unify the development of high-end applications of DL for bioimage analysis and to streamline their installation and maintenance. JDLL provides all the functions require
Externí odkaz:
http://arxiv.org/abs/2306.04796
Autor:
Martin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, Estibaliz Gómez-de-Mariscal, Tereza Nečasová, Fidel A. Guerrero Peña, Tsang Ing Ren, Elliot M. Meyerowitz, Tim Scherr, Katharina Löffler, Ralf Mikut, Tianqi Guo, Yin Wang, Jan P. Allebach, Rina Bao, Noor M. Al-Shakarji, Gani Rahmon, Imad Eddine Toubal, Kannappan Palaniappan, Filip Lux, Petr Matula, Ko Sugawara, Klas E. G. Magnusson, Layton Aho, Andrew R. Cohen, Assaf Arbelle, Tal Ben-Haim, Tammy Riklin Raviv, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein, Yanming Zhu, Cristina Ederra, Ainhoa Urbiola, Erik Meijering, Alexandre Cunha, Arrate Muñoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solórzano
Publikováno v:
Nature Methods.
The Cell Tracking Challenge is an ongoing benchmarking initiative that has become a reference in cell segmentation and tracking algorithm development. Here, we present a significant number of improvements introduced in the challenge since our 2017 re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0356ea7233517071076144b1beef5aaf
https://doi.org/10.1038/s41592-023-01879-y
https://doi.org/10.1038/s41592-023-01879-y
Autor:
Praful R. Nair, Ludmila Danilova, Estibaliz Gómez-de-Mariscal, Dongjoo Kim, Rong Fan, Arrate Muñoz-Barrutia, Elana J. Fertig, Denis Wirtz
Cell migration is a critical requirement for cancer metastasis. Cytokine production and its role in cancer cell migration have been traditionally associated with immune cells in the tumor microenvironment. MLL1 is a histone methyltransferase that con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb1a93ad2df3156780c2048d2ea2c842
https://doi.org/10.1101/2022.10.18.512715
https://doi.org/10.1101/2022.10.18.512715
Autor:
Praful R. Nair, Ludmila Danilova, Estibaliz Gómez-de-Mariscal, Dongjoo Kim, Rong Fan, Arrate Muñoz-Barrutia, Elana Fertig, Denis Wirtz
Publikováno v:
Cancer Research. 83:3608-3608
Cell migration, particularly in three-dimensional (3D) environments, is a critical requirement for metastasis - the spread of cancer cells from a primary tumor to distant sites. Despite causing the vast majority of cancer-related deaths, targeting me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a94accb563f74b41ba6de152cadf3a0
https://doi.org/10.1158/1538-7445.am2023-3608
https://doi.org/10.1158/1538-7445.am2023-3608
Autor:
Wei Ouyang, Fynn Beuttenmueller, Estibaliz Gómez-de-Mariscal, Constantin Pape, Tom Burke, Carlos Garcia-López-de-Haro, Craig Russell, Lucía Moya-Sans, Cristina de-la-Torre-Gutiérrez, Deborah Schmidt, Dominik Kutra, Maksim Novikov, Martin Weigert, Uwe Schmidt, Peter Bankhead, Guillaume Jacquemet, Daniel Sage, Ricardo Henriques, Arrate Muñoz-Barrutia, Emma Lundberg, Florian Jug, Anna Kreshuk
Deep learning-based approaches are revolutionizing imaging-driven scientific research. However, the accessibility and reproducibility of deep learning-based workflows for imaging scientists remain far from sufficient. Several tools have recently rise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04104576c7331dfc7cff02f8f94f958a
https://doi.org/10.1101/2022.06.07.495102
https://doi.org/10.1101/2022.06.07.495102