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Daniel Franco-Barranco
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2020 – today
- 2024
- [j4]Davide Carnevali
, Limei Zhong, Esther González-Almela, Carlotta Viana
A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features. Nat. Mac. Intell. 6(9): 1021-1033 (2024) - [c4]Daniel Franco-Barranco, Aitor González-Marfil, Ignacio Arganda-Carreras:
Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge. ISBI 2024: 1-5 - 2023
- [j3]Daniel Franco-Barranco
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation. IEEE Trans. Medical Imaging 42(12): 3956-3971 (2023) - [c3]Lenka Backová, Guillermo Bengoetxea, Svana Rogalla
Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers. ISBI 2023: 1-5 - [c2]Daniel Franco-Barranco, Jesús A. Andrés-San Román, Pedro Gómez-Gálvez, Luis M. Escudero, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
BiaPy: a ready-to-use library for Bioimage Analysis Pipelines. ISBI 2023: 1-5 - 2022
- [j2]Daniel Franco-Barranco
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. Comput. Methods Programs Biomed. 222: 106949 (2022) - [j1]Daniel Franco-Barranco
Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes. Neuroinformatics 20(2): 437-450 (2022) - [i2]Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Deep learning based domain adaptation for mitochondria segmentation on EM volumes. CoRR abs/2202.10773 (2022) - 2021
- [i1]Daniel Franco-Barranco, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes. CoRR abs/2104.03577 (2021) - 2020
- [c1]Donglai Wei, Zudi Lin
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. MICCAI (5) 2020: 66-76
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