Search Results - Franco-Barranco, Daniel

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  1. 1
    CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

    CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia by Andrés-San Román, Jesús A., Gordillo-Vázquez, Carmen, Franco-Barranco, Daniel, Morato, Laura, Fernández-Espartero, Cecilia H., Baonza, Gabriel, Tagua, Antonio, Vicente-Munuera, Pablo, Palacios, Ana M., Gavilán, María P., Martín-Belmonte, Fernando, Annese, Valentina, Gómez-Gálvez, Pedro, Arganda-Carreras, Ignacio, Escudero, Luis M.

    Published in Cell reports methods
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  2. 2
    Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes

    Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes by Franco-Barranco, Daniel, Muñoz-Barrutia, Arrate, Arganda-Carreras, Ignacio

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  3. 3
    Deep learning based domain adaptation for mitochondria segmentation on EM volumes

    Deep learning based domain adaptation for mitochondria segmentation on EM volumes by Franco-Barranco, Daniel, Pastor-Tronch, Julio, González-Marfil, Aitor, Muñoz-Barrutia, Arrate, Arganda-Carreras, Ignacio

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  4. 4
    Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge

    Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge by Franco-Barranco, Daniel, Gonzalez-Marfil, Aitor, Arganda-Carreras, Ignacio

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  5. 5
    Characterizing structure formation through instance segmentation

    Characterizing structure formation through instance segmentation by López-Cano, Daniel, Stücker, Jens, Pellejero Ibañez, Marcos, Angulo, Raúl E., Franco-Barranco, Daniel

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  6. 6
    Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation

    Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation by Franco-Barranco, Daniel, Lin, Zudi, Jang, Won-Dong, Wang, Xueying, Shen, Qijia, Yin, Wenjie, Fan, Yutian, Li, Mingxing, Chen, Chang, Xiong, Zhiwei, Xin, Rui, Liu, Hao, Chen, Huai, Li, Zhili, Zhao, Jie, Chen, Xuejin, Pape, Constantin, Conrad, Ryan, Nightingale, Luke, de Folter, Joost, Jones, Martin L., Liu, Yanling, Ziaei, Dorsa, Huschauer, Stephan, Arganda-Carreras, Ignacio, Pfister, Hanspeter, Wei, Donglai

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  7. 7
    Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers

    Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers by Backova, Lenka, Bengoetxea, Guillermo, Rogalla, Svana, Franco-Barranco, Daniel, Solon, Jerome, Arganda-Carreras, Ignacio

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  8. 8
    BiaPy: a ready-to-use library for Bioimage Analysis Pipelines

    BiaPy: a ready-to-use library for Bioimage Analysis Pipelines by Franco-Barranco, Daniel, Andres-San Roman, Jesus A., Gomez-Galvez, Pedro, Escudero, Luis M., Munoz-Barrutia, Arrate, Arganda-Carreras, Ignacio

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  9. 9
    Characterizing Structure Formation through Instance Segmentation

    Characterizing Structure Formation through Instance Segmentation by López-Cano, Daniel, Stücker, Jens, Marcos Pellejero Ibañez, Angulo, Raúl E, Franco-Barranco, Daniel

    Published in arXiv.org
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  10. 10
    Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes

    Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes by Franco-Barranco, Daniel, Muñoz-Barrutia, Arrate, Arganda-Carreras, Ignacio

    Published in arXiv.org
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  11. 11
    Deep learning based domain adaptation for mitochondria segmentation on EM volumes

    Deep learning based domain adaptation for mitochondria segmentation on EM volumes by Franco-Barranco, Daniel, Pastor-Tronch, Julio, Gonzalez-Marfil, Aitor, Muñoz-Barrutia, Arrate, Arganda-Carreras, Ignacio

    Published in arXiv.org
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