Estibaliz Gómez-de-Mariscal

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Arrate Muñoz BarrutiaProfessor, Univ. Carlos III de Madrid; Instituto de Investigación Sanitaria Gregorio MarañónAdresse e-mail validée de ing.uc3m.es
Daniel SageBiomedical Imaging Group, Center for Imaging, EPFL, Lausanne, SwitzerlandAdresse e-mail validée de epfl.ch
Laurène DonatiExecutive Director, EPFL Center for ImagingAdresse e-mail validée de epfl.ch
Ricardo HenriquesGroup Leader at Instituto Gulbenkian de Ciência and Honorary Professor at UCL (LMCB)Adresse e-mail validée de igc.gulbenkian.pt
Guillaume JacquemetÅbo Akademi UniversityAdresse e-mail validée de abo.fi
Wei OuyangAssistant Professor, Science for Life Laboratory | KTH Royal Institute of Technology, StockholmAdresse e-mail validée de kth.se
Denis WirtzT.H. Smoot Professor of Engineering Science, Pathology, and Oncology; VP Research, Johns HopkinsAdresse e-mail validée de jhu.edu
Emma LundbergAssociate Professor of Bioengineering and Pathology, Stanford UniversityAdresse e-mail validée de scilifelab.se
Michael UnserProfessor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), SwitzerlandAdresse e-mail validée de epfl.ch
Hasini JayatilakaJohns Hopkins UniversityAdresse e-mail validée de jhu.edu
Christoph SpahnPhD, MPI for terrestrial microbiologyAdresse e-mail validée de mpi-marburg.mpg.de
Séamus HoldenAssociate Professor, University of Warwick, UKAdresse e-mail validée de warwick.ac.uk
Daniel SageEcole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, SwitzerlandAdresse e-mail validée de epfl.ch
Ana Pilar González-MarcosProfesora - Universidad Politécnica de MadridAdresse e-mail validée de upm.es

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Estibaliz Gómez-de-Mariscal

Postdoc Henriques Lab, Instituto Gulbenkian de Ciência, Oeiras, Portugal

Adresse e-mail validée de igc.gulbenkian.pt

image processing microscopy bioengineering mathematics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	180*	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	49	2019
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	47	2023
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	47	2021
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	39	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	35	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	13	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	10	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	4	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	3	2020
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, 2024	1	2024
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	1	2024
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	1	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	1	2024
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	1	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	1	2022
Bioimage Data Analysis Workflows‒Advanced Components and Methods K Miura, N Sladoje Springer Nature, 2022	1	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	1	2017
The rise of data‐driven microscopy powered by machine learning L Morgado, E Gómez‐de‐Mariscal, HS Heil, R Henriques Journal of Microscopy, 2024		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		2024

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