Daniel Franco-Barranco

According to our database, Daniel Franco-Barranco authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features.

Davide Carnevali, Limei Zhong, Esther González-Almela, Carlotta Viana, Mikhail Rotkevich, Aiping Wang, Daniel Franco-Barranco, Aitor González-Marfil, Maria Victoria Neguembor, Alvaro Castells-Garcia, Ignacio Arganda-Carreras, Maria Pia Cosma

Nat. Mac. Intell., 2024

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

Daniel Franco-Barranco, Aitor González-Marfil, Ignacio Arganda-Carreras

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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, Luke Nightingale, Joost de Folter, Martin L. Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei

IEEE Trans. Medical Imaging, December, 2023

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers.

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes.

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

Neuroinformatics, 2022

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

Comput. Methods Programs Biomed., 2022

2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020