Publications by the researcher in collaboration with NAHUEL EMILIANO GARCÍA D'URSO (16)

2024

  1. 3D Reconstruction of the Human Body from Partial Scans Using Parametric Models

    Lecture Notes in Networks and Systems

  2. Advances in Human Body Modelling to Improve the Treatment of Obesity and Overweight

    Springer Proceedings in Complexity

  3. Automated anthropometric measurements from 3D point clouds of scanned bodies

    Image and Vision Computing, Vol. 152

  4. Automatic Identification of Fish Species and Their Farmed or Wild Origin by Computer Vision and Deep Learning

    Lecture Notes in Networks and Systems

  5. Generative shape deformation with optimal transport using learned transformations

    Proceedings of the International Joint Conference on Neural Networks

  6. Simultaneous, vision-based fish instance segmentation, species classification and size regression

    PeerJ Computer Science, Vol. 10

2023

  1. 3D Human Body Models: Parametric and Generative Methods Review

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets

    Lecture Notes in Networks and Systems

  3. A Template-Based Method for Automatic Anthropometric Measurements from Multiple 3D Scans

    Lecture Notes in Networks and Systems

  4. Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds

    Lecture Notes in Networks and Systems

  5. Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning

    Lecture Notes in Networks and Systems

  6. Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks

    Lecture Notes in Networks and Systems

2022

  1. A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning

    IEEE Access, Vol. 10, pp. 58566-58577

  2. Efficient instance segmentation using deep learning for species identification in fish markets

    Proceedings of the International Joint Conference on Neural Networks

  3. The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation

    Scientific Data

2020

  1. RGB-D-based framework to acquire, visualize and measure the human body for dietetic treatments

    Sensors (Switzerland), Vol. 20, Núm. 13, pp. 1-20