Daniel Franco-Barranco

PhD Candidate at University of the Basque Country (UPV/EHU)

HPC Resources Technician at Donostia International Physics Center (DIPC)

PhD Intern at Harvard, advised by Prof. Donglai Wei and Prof. Hanspeter Pfister

Master’s degree in Computational Engineering and Intelligent Systems

Bachelor’s degree in Computer Engineering

Company practices at Donostia International Physics Center (DIPC)

BiaPy: A unified framework for versatile bioimage analysis with deep learning

Daniel Franco-Barranco, Jesús A Andrés-San Román, Ivan Hidalgo-Cenalmor, Lenka Backová, Aitor González-Marfil, Clément Caporal, Anatole Chessel, Pedro Gómez-Gálvez, Luis M Escudero, Donglai Wei, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

bioRxiv BibTeX PDF Code

Characterizing Structure Formation through Instance Segmentation

Daniel López-Cano, Jens Stücker, Marcos Pellejero Ibañez, Raúl E. Angulo, Daniel Franco-Barranco

arXiv BibTeX PDF Code

Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers

Lenka Backová, Guillermo Bengoetxea, Svana Rogalla, Daniel Franco-Barranco, Jérôme Solon, Ignacio Arganda-Carreras

IEEE ISBI BibTeX PDF Code

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

Daniel Franco-Barranco, Jesús A Andrés-San Román, Pedro Gómez-Gálvez, Luis M Escudero, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

IEEE ISBI BibTeX PDF Code

Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation

Daniel Franco-Barranco, Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin, Yutian Fan, Mingxing Li, Chang Chen, Zhiwei Xiong, Rui Xin, Hao Liu, Huai Chen, Zhili Li, Jie Zhao, Xuejin Chen, Constantin Pape, Ryan Conrad, Jozefus De Folter, Luke Nightingale, Martin Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei

TMI BibTeX PDF Code

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

Jesús A. Andrés-San Román, Carmen Gordillo-Vazquez, Daniel Franco-Barranco, Laura Morato, Antonio Tagua, Pablo Vicente-Munuera, Ana M. Palacios, Maria P. Gavilan, Valentina Annese, Pedro Gómez-Gálvez, Ignacio Arganda-Carreras, Luis M. Escudero

Cell Reports Methods BibTeX PDF Code

Deep learning based domain adaptation for mitochondria segmentation on EM volumes

Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

CMPB arXiv BibTeX PDF Sup. material Code

A quantitative biophysical principle to explain the 3D cellular connectivity in curved epithelia

Pedro Gómez-Gálvez, Pablo Vicente-Munuera, Samira Anbari, Antonio Tagua, Carmen Gordillo-Vázquez, Jesús A. Andrés-San Román, Daniel Franco-Barranco, Ana M. Palacios, Antonio Velasco, Carlos Capitán-Agudo, Clara Grima, Valentina Annese, Ignacio Arganda-Carreras, Rafael Robles, Alberto Márquez, Javier Buceta, Luis M. Escudero

Cell Systems bioRxiv BibTeX PDF Code

Building a Bioimage Analysis Workflow using Deep Learning

Estibaliz Gómez-de-Mariscal, Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

Book Github

Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes

Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

Neuroinformatics arXiv BibTeX PDF Code

MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images

Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister

PDF BibTeX Code