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Estibaliz Gómez-de-Mariscal
Estibaliz Gómez-de-Mariscal
Postdoc Henriques Lab, Instituto Gulbenkian de Ciência, Oeiras, Portugal
Bestätigte E-Mail-Adresse bei igc.gulbenkian.pt
Titel
Zitiert von
Zitiert von
Jahr
DeepImageJ: A user-friendly environment to run deep learning models in ImageJ
E Gómez-de-Mariscal, C García-López-de-Haro, W Ouyang, L Donati, ...
Nature Methods 18 (10), 1192-1195, 2021
2192021
The cell tracking challenge: 10 years of objective benchmarking
M Maška, V Ulman, P Delgado-Rodriguez, E Gómez-de-Mariscal, ...
Nature Methods 20 (7), 1010-1020, 2023
1022023
Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets
E Gómez-de-Mariscal, V Guerrero, A Sneider, H Jayatilaka, JM Phillip, ...
Scientific reports 11 (1), 1-13, 2021
782021
DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches
C Spahn, E Gómez-de-Mariscal, RF Laine, PM Pereira, L von Chamier, ...
Communications Biology 5 (1), 1-18, 2022
64*2022
Bioimage model zoo: a community-driven resource for accessible deep learning in bioimage analysis
W Ouyang, F Beuttenmueller, E Gómez-de-Mariscal, C Pape, T Burke, ...
BioRxiv, 2022.06. 07.495102, 2022
572022
Deep-learning-based segmentation of small extracellular vesicles in transmission electron microscopy images
E Gómez-de-Mariscal, M Maška, A Kotrbová, V Pospíchalová, P Matula, ...
Scientific reports 9 (1), 13211, 2019
532019
Live-cell imaging in the deep learning era
JW Pylvänäinen, E Gómez-de-Mariscal, R Henriques, G Jacquemet
Current Opinion in Cell Biology 85, 102271, 2023
232023
Roadmap on deep learning for microscopy
G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ...
ArXiv, 2023
182023
Association of visual and quantitative heterogeneity of 18F-FDG PET images with treatment response in locally advanced rectal cancer: A feasibility study
P Martín-González, E Gómez-de-Mariscal, ME Martino, PM Gordaliza, ...
PloS one 15 (11), e0242597, 2020
122020
DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible
I Hidalgo-Cenalmor, JW Pylvänäinen, M G. Ferreira, CT Russell, A Saguy, ...
Nature Methods, 1-3, 2024
72024
Small extracellular vesicles promote stiffness-mediated metastasis
A Sneider, Y Liu, B Starich, W Du, PR Nair, C Marar, N Faqih, GE Ciotti, ...
Cancer research communications 4 (5), 1240-1252, 2024
72024
MLL1 regulates cytokine-driven cell migration and metastasis
PR Nair, L Danilova, E Gómez-de-Mariscal, D Kim, R Fan, ...
Science Advances 10 (11), eadk0785, 2024
72024
The rise of data‐driven microscopy powered by machine learning
L Morgado, E Gómez‐de‐Mariscal, HS Heil, R Henriques
Journal of Microscopy, 2024
62024
Harnessing artificial intelligence to reduce phototoxicity in live imaging
E Gómez-de-Mariscal, M Del Rosario, JW Pylvänäinen, G Jacquemet, ...
Journal of Cell Science 137 (3), 2024
52024
CellTracksColab is a platform that enables compilation, analysis, and exploration of cell tracking data
E Gómez-de-Mariscal, H Grobe, JW Pylvänäinen, L Xénard, R Henriques, ...
Plos Biology 22 (8), e3002740, 2024
4*2024
EDAM-bioimaging: The ontology of bioimage informatics operations, topics, data, and formats (update 2020)
M Kalaš, L Plantard, N Sladoje, J Lindblad, MA Kirschmann, M Jones, ...
ELIXIR All Hands 2020, 2020
42020
This Microtubule Does Not Exist: Super‐Resolution Microscopy Image Generation by a Diffusion Model
A Saguy, T Nahimov, M Lehrman, E Gómez‐de‐Mariscal, ...
Small Methods, 2400672, 2024
32024
Building a bioimage analysis workflow using deep learning
E Gómez-de-Mariscal, D Franco-Barranco, A Muñoz-Barrutia, ...
Bioimage Data Analysis Workflows‒Advanced Components and Methods, 59-88, 2022
32022
Bioimage Data Analysis Workflows‒Advanced Components and Methods
K Miura, N Sladoje
Springer Nature, 2022
32022
Gut Analysis Toolbox–automating quantitative analysis of enteric neurons
L Sorensen, A Humenick, SSB Poon, MN Han, NS Mahdavian, MC Rowe, ...
Journal of Cell Science 137 (20), 2024
22024
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