Estibaliz Gómez-de-Mariscal
Estibaliz Gómez-de-Mariscal
Postdoc Henriques Lab, Instituto Gulbenkian de Ciência, Oeiras, Portugal
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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
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
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
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
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
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
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
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
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
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
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
JDLL: a library to run deep learning models on Java bioimage informatics platforms
C García López de Haro, S Dallongeville, T Musset, E Gómez-de-Mariscal, ...
Nature Methods, 1-2, 2024
Small extracellular vesicles promote stiffness-mediated metastasis
A Sneider, Y Liu, B Starich, W Du, C Marar, N Faqih, GE Ciotti, JH Kim, ...
bioRxiv, 2023.07. 01.545937, 2023
DL4MicEverywhere: Deep learning for microscopy made flexible, shareable, and reproducible
I Hidalgo-Cenalmor, JW Pylvänäinen, MG Ferreira, CT Russell, ...
bioRxiv, 2023.11. 19.567606, 2023
MLL1 regulates cytokine-driven cell migration and metastasis
PR Nair, L Danilova, E Gómez-de-Mariscal, D Kim, R Fan, ...
bioRxiv, 2022.10. 18.512715, 2022
Bioimage Data Analysis Workflows‒Advanced Components and Methods
K Miura, N Sladoje
Springer Nature, 2022
Infrared thermography processing to characterize emotional stress: a pilot study
EG de Mariscal, A Munoz-Barrutia, J de Frutos, AP González-Marcos, ...
IET Digital Library, 2017
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
The Rise of Data-Driven Microscopy powered by Machine Learning
L Morgado, E Gómez-de-Mariscal, HS Heil, R Henriques
arXiv preprint arXiv:2401.05282, 2024
Gut Analysis Toolbox: Automating quantitative analysis of enteric neurons
L Sorensen, A Humenick, SSB Poon, MN Han, NS Mahdavian, R Hamnett, ...
bioRxiv, 2024.01. 17.576140, 2024
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