NAHUEL EMILIANO
GARCIA D'URSO
PROFESOR/A ASOCIADO/A
Publicacións (15) Publicacións de NAHUEL EMILIANO GARCIA D'URSO
2024
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Advances in Human Body Modelling to Improve the Treatment of Obesity and Overweight
Springer Proceedings in Complexity
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Automated anthropometric measurements from 3D point clouds of scanned bodies
Image and Vision Computing, Vol. 152
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Generative shape deformation with optimal transport using learned transformations
Proceedings of the International Joint Conference on Neural Networks
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Simultaneous, vision-based fish instance segmentation, species classification and size regression
PeerJ Computer Science, Vol. 10
2023
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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)
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A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets
Lecture Notes in Networks and Systems
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A Template-Based Method for Automatic Anthropometric Measurements from Multiple 3D Scans
Lecture Notes in Networks and Systems
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Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds
Lecture Notes in Networks and Systems
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Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning
Lecture Notes in Networks and Systems
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Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks
Lecture Notes in Networks and Systems
2022
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A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning
IEEE Access, Vol. 10, pp. 58566-58577
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Efficient instance segmentation using deep learning for species identification in fish markets
Proceedings of the International Joint Conference on Neural Networks
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The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation
Scientific Data
2021
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Comparison of body scanner and manual anthropometric measurements of body shape: A systematic review
International Journal of Environmental Research and Public Health, Vol. 18, Núm. 12
2020
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RGB-D-based framework to acquire, visualize and measure the human body for dietetic treatments
Sensors (Switzerland), Vol. 20, Núm. 13, pp. 1-20