Publicaciones en colaboración con investigadores/as de Instituto de Investigación Sanitaria del Principado de Asturias (12)

2023

  1. Direct Cryo-ET observation of platelet deformation induced by SARS-CoV-2 spike protein

    Nature Communications, Vol. 14, Núm. 1

  2. Neuron Characterization in Complex Cultures Using a Combined YOLO and U-Net Segmentation Approach

    Lecture Notes in Networks and Systems

2022

  1. Author Correction: Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms (Nature Methods, (2021), 18, 11, (1386-1394), 10.1038/s41592-021-01275-4)

    Nature Methods

  2. Computational methods for three-dimensional electron microscopy (3DEM)

    Computer Methods and Programs in Biomedicine

  3. Differences in the microRNAs Levels of Raw Milk from Dairy Cattle Raised under Extensive or Intensive Production Systems

    Veterinary Sciences, Vol. 9, Núm. 12

  4. HPC enables efficient 3D membrane segmentation in electron tomography

    Journal of Supercomputing, Vol. 78, Núm. 17, pp. 19097-19113

  5. MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms

    Computer Methods and Programs in Biomedicine, Vol. 224

  6. ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation

    Journal of Structural Biology, Vol. 214, Núm. 3

  7. Statistical spatial analysis for cryo-electron tomography

    Computer Methods and Programs in Biomedicine, Vol. 218

2021

  1. A machine learning model for evaluating imported disease screening strategies in immigrant populations

    American Journal of Tropical Medicine and Hygiene, Vol. 105, Núm. 5, pp. 1413-1419

2019

  1. Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm

    Food Research International, Vol. 121, pp. 533-541

  2. Predicting obesity from gut microbial composition and lipid profile; does gender matter?

    Abstracts of the 10th Workshop on Probiotics and Prebiotics - Annals of Nutritions & Metabolism 2019;74(suppl 1):1–31