Publicaciones en colaboración con investigadoras/es de Instituto Biofisika (14)

2024

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

    Nature Machine Intelligence, Vol. 6, Núm. 9, pp. 1021-1033

  2. Analysis of Point Cloud Domain Gap Effects for 3D Object Detection Evaluation

    Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

  3. Automatic mapping of aquaculture activity in the Atlantic Ocean

    International Journal of Applied Earth Observation and Geoinformation, Vol. 132

  4. Data and Label Graph Fusion for Semi-supervised Learning: Application to Image Categorization

    IS and T International Symposium on Electronic Imaging Science and Technology

  5. Enhancing MRI brain tumor classification: A comprehensive approach integrating real-life scenario simulation and augmentation techniques

    Physica Medica, Vol. 127

  6. Multi-Level XAI-Driven MLOps Pipeline for the Adjustment of Fruit and Vegetable Classifiers

    International IEEE Conference proceedings, IS

  7. Naturalize Revolution: Unprecedented AI-Driven Precision in Skin Cancer Classification Using Deep Learning

    BioMedInformatics, Vol. 4, Núm. 1, pp. 638-660

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

    Proceedings - International Symposium on Biomedical Imaging

  9. Transformer-based fall detection in videos

    Engineering Applications of Artificial Intelligence, Vol. 132

2023

  1. Blood Cell Revolution: Unveiling 11 Distinct Types with ‘Naturalize’ Augmentation

    Algorithms, Vol. 16, Núm. 12

  2. CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

    Cell Reports Methods, Vol. 3, Núm. 10

  3. Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation

    IEEE Transactions on Medical Imaging, Vol. 42, Núm. 12, pp. 3956-3971

  4. Modeling Wound Healing Using Vector Quantized Variational Autoencoders and Transformers

    Proceedings - International Symposium on Biomedical Imaging

  5. White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope

    Algorithms, Vol. 16, Núm. 11