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Estibaliz Gómez-de-Mariscal
Estibaliz Gómez-de-Mariscal
Postdoc Henriques Lab, Instituto Gulbenkian de Ciência, Oeiras, Portugal
Verified email at igc.gulbenkian.pt
Title
Cited by
Cited by
Year
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
141*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
362019
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
312021
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
202022
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
162022
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
132020
The Cell Tracking Challenge: 10 years of objective benchmarking
M Maška, V Ulman, P Delgado-Rodriguez, E Gómez-de-Mariscal, ...
Nature Methods, 1-11, 2023
92023
Roadmap on Deep Learning for Microscopy
G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ...
ArXiv, 2023
42023
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
22022
EDAM-bioimaging: The ontology of bioimage informatics operations, topics, data, and formats (update 2020)
M Kalaš, L Plantard, J Lindblad, M Jones, N Sladoje, MA Kirschmann, ...
F1000, 2020
22020
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
12023
Harnessing Artificial Intelligence To Reduce Phototoxicity in Live Imaging
E Gómez-de-Mariscal, M Del Rosario, JW Pylvänäinen, G Jacquemet, ...
arXiv preprint arXiv:2308.04387, 2023
2023
JDLL: A library to run Deep Learning models on Java bioimage informatics platforms
C Garcia Lopez de Haro, S Dallongeville, T Musset, E Gomez de Mariscal, ...
arXiv e-prints, arXiv: 2306.04796, 2023
2023
Abstract B046: MLL1 regulates cytokine-driven cell migration and metastasis
PR Nair, L Danilova, E Gómez-de-Mariscal, D Kim, R Fan, ...
Cancer Research 83 (2_Supplement_2), B046-B046, 2023
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
2022
Search for temporal cell segmentation robustness in phase-contrast microscopy videos
E Gómez-de-Mariscal, H Jayatilaka, Ö Çiçek, T Brox, D Wirtz, ...
arXiv preprint arXiv:2112.08817, 2021
2021
DeepImageJ: Deep learning in bioimage analysis for dummies
E Gómez-de-Mariscal, C de-la-Torre-Gutiérrez, A Muñoz-Barrutia, D Sage
FocalPlane, 2021
2021
Insights to the characterization of cell motility and intercellular communication through a bioimage analysis perspective
E Gómez-de-Mariscal
2021
PET Texture Analysis: Does it Have Clinical Significance in Locally Advanced Rectal Cancer?
PM Gonzalez, EG de Mariscal, ME Martino, PM Gordaliza, JL Carreras, ...
XXXV Congreso anual de la Sociedad Española de Ingeniería Biomédica: Libro …, 2017
2017
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
2017
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