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Listar por autor "Layana-Castro, Pablo Emmanuel"

Mostrando ítems 1-8 de 8

A new training strategy for spatial transform networks (STN's)

Navarro Moya, Francisco; Puchalt-Rodríguez, Joan Carles; Layana-Castro, Pablo Emmanuel; García-Garví, Antonio; Sánchez Salmerón, Antonio José (Springer-Verlag, 2022-06)

[EN] Spatial transform networks (STN) are widely used since they can transform images captured from different viewpoints to obtain an objective image. These networks use an image captured from any viewpoint as input and ...
Caenorhabditis elegans Multi-Tracker Based on a Modified Skeleton Algorithm

Layana-Castro, Pablo Emmanuel; Puchalt-Rodríguez, Joan Carles; García-Garví, Antonio; Sánchez Salmerón, Antonio José (MDPI AG, 2021-08-20)

[EN] Automatic tracking of Caenorhabditis elegans (C. egans) in standard Petri dishes is challenging due to high-resolution image requirements when fully monitoring a Petri dish, but mainly due to potential losses of ...
Desarrollo de técnicas avanzadas de seguimiento de posturas para reconocimiento de comportamientos de C. elegans

Layana Castro, Pablo Emmanuel (Universitat Politècnica de València, 2023-10-26)

[ES] El objetivo principal de esta tesis es el desarrollo de técnicas avanzadas de seguimiento de posturas para reconocimiento de comportamientos del Caenorhabditis elegans o C. elegans. El C. elegans es una clase de ...
Improving skeleton algorithm for helping Caenorhabditis elegans trackers

Layana-Castro, Pablo Emmanuel; Puchalt-Rodríguez, Joan Carles; Sánchez Salmerón, Antonio José (Nature Publishing Group, 2020-12-17)

[EN] One of the main problems when monitoring Caenorhabditis elegans nematodes (C. elegans) is tracking their poses by automatic computer vision systems. This is a challenge given the marked flexibility that their bodies ...
Reducing Results Variance in Lifespan Machines: An Analysis of the Influence of Vibrotaxis on Wild-Type Caenorhabditis elegans for the Death Criterion

Puchalt-Rodríguez, Joan Carles; Layana-Castro, Pablo Emmanuel; Sánchez Salmerón, Antonio José (MDPI AG, 2020-11)

[EN] Nowadays, various artificial vision-based machines automate the lifespan assays of C. elegans. These automated machines present wider variability in results than manual assays because in the latter worms can be poked ...
Skeletonizing Caenorhabditis elegans Based on U-Net Architectures Trained with a Multi-worm Low-Resolution Synthetic Dataset

Layana-Castro, Pablo Emmanuel; García-Garví, Antonio; Navarro Moya, Francisco; Sánchez Salmerón, Antonio José (Springer-Verlag, 2023-09)

[EN] Skeletonization algorithms are used as basic methods to solve tracking problems, pose estimation, or predict animal group behavior. Traditional skeletonization techniques, based on image processing algorithms, are ...
Towards generalization for Caenorhabditis elegans detection

Escobar-Benavides, Santiago; García-Garví, Antonio; Layana-Castro, Pablo Emmanuel; Sánchez Salmerón, Antonio José (Chalmers University of Technology, 2023)

[EN] The nematode Caenorhabditis elegans (C. elegans) is of significant interest for research into neurodegenerative diseases, aging, and drug screening. However, conducting these assays manually is a tedious and time-consuming ...
Towards Lifespan Automation for Caenorhabditis elegans Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification

García-Garví, Antonio; Puchalt-Rodríguez, Joan Carles; Layana-Castro, Pablo Emmanuel; Navarro Moya, Francisco; Sánchez Salmerón, Antonio José (MDPI AG, 2021-07)

[EN] The automation of lifespan assays with C. elegans in standard Petri dishes is a challenging problem because there are several problems hindering detection such as occlusions at the plate edges, dirt accumulation, and ...