Daniel Franco-Barranco

13 papers Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model.
CoRR
Carlos Garcia-Lopez-de-Haro, Caterina Fuster-Barceló, Curtis T. Rueden, Jónathan Heras, Vladimír Ulman, Daniel Franco-Barranco, Adrián Inés, Kevin W. Eliceiri, Jean-Christophe Olivo-Marin, Jean-Yves Tinevez, Daniel Sage, Arrate Muñoz-Barrutia
2025 — conf
Super-Resolution Benchmarking for 3D Image-to-Image Fusion Problem.
ISBI
Daniel Franco-Barranco, Aitor González-Marfil, Albert Cardona, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
2025 J jnl
Towards Generalized Synapse Detection Across Invertebrate Species.
CoRR
Samia Mohinta, Daniel Franco-Barranco, Shi Yan Lee, Albert Cardona
2024 J jnl
A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features.
Nat. Mac. Intell.
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
2024 — conf
Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge.
ISBI
Daniel Franco-Barranco, Aitor González-Marfil, Ignacio Arganda-Carreras
2023 — conf
BiaPy: a ready-to-use library for Bioimage Analysis Pipelines.
ISBI
Daniel Franco-Barranco, Jesús A. Andrés-San Román, Pedro Gómez-Gálvez, Luis M. Escudero, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
2023 J jnl
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation.
IEEE Trans. Medical Imaging
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
2023 — conf
Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers.
ISBI
Lenka Backová, Guillermo Bengoetxea, Svana Rogalla, Daniel Franco-Barranco, Jérôme Solon, Ignacio Arganda-Carreras
2022 J jnl
Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
Comput. Methods Programs Biomed.
Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
2022 J jnl
Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
CoRR
Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
2022 J jnl
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes.
Neuroinformatics
Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
2021 J jnl
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes.
CoRR
Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras
2020 — conf
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images.
MICCAI (5)
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