About Me
Hi, my name’s Daniel and I work as half-time HPC Resources Technician at Donostia International Physics Center (DIPC), being part of the management and configuration of the biggest cluster of the Basque Country. The other half of my workday I’m a PhD Candidate at the University of the Basque Country, together with the DIPC, advised by Prof. Ignacio Arganda-Carreras and Prof. Arrate Muñoz-Barrutia.
My general research area is in Biomedical image processing and Computer Vision, focused in the design and development of novel Deep Learning solutions for the segmentation of organelles in large Electron microscope images and across microscope types and modalities.
Experience
2019 - present
PhD Candidate at University of the Basque Country (UPV/EHU)
2015 - present
HPC Resources Technician at Donostia International Physics Center (DIPC)
2022 (6 months)
PhD Intern at Harvard, advised by Prof. Donglai Wei and Prof. Hanspeter Pfister
2018 - 2019 (1 year)
Master’s degree in Computational Engineering and Intelligent Systems
2011 - 2015 (4 years)
Bachelor’s degree in Computer Engineering
2014 (6 months)
Company practices at Donostia International Physics Center (DIPC)
Publications
2023
TechRxiv
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
2023
bioRxiv
CartoCell, a high-throughput pipeline for accurate 3D image analysis, unveils cell morphology patterns in epithelial cysts
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
2022
CMPB
2022
Cell Systems
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
2021
Computer Methods and Programs
in Biomedicine
2021
Neuroinformatics
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes
Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
2020
MICCAI