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Listar por autor "García Garví, Antonio"

Mostrando ítems 1-11 de 11

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 ...
Analysis of a C. elegans lifespan prediction method based on a bimodal neural network and uncertainty estimation

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

[EN] In recent decades, assays with the nematode Caenorhabditis elegans (C. elegans) have enabled great advances to be made in research on aging. However, performing these assays manually is a laborious task. To solve this ...
Automatic segmentation of Caenorhabditis elegans skeletons in worm aggregations using improved U-Net in low-resolution image sequences

Layana-Castro, Pablo Emmanuel; García-Garví, Antonio; Sánchez Salmerón, Antonio José (Elsevier, 2023-04)

[EN] Pose estimation of C. elegans in image sequences is challenging and even more difficult in low-resolution images. Problems range from occlusions, loss of worm identity, and overlaps to aggregations that are too complex ...
Automation of Caenorhabditis elegans lifespan assay using a simplified domain synthetic image-based neural network training strategy

García-Garví, Antonio; Layana-Castro, Pablo Emmanuel; Puchalt-Rodríguez, Joan Carles; Sánchez Salmerón, Antonio José (Chalmers University of Technology, 2023)

[EN] Performing lifespan assays with Caenorhabditis elegans (C. elegans) nematodes manually is a time consuming and laborious task. Therefore, automation is necessary to increase productivity. In this paper, we propose a ...
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 ...
Diseño, desarrollo y evaluación de algoritmos basados en aprendizaje profundo para automatización de experimentos Lifespan con C. elegans

García Garví, Antonio (Universitat Politècnica de València, 2020-10-15)

[ES] En los últimos años, los nematodos C. elegans cultivados en placas de Petri se han utilizado en muchas investigaciones relacionadas con el envejecimiento. El desarrollo de nuevas herramientas para automatizar los ...
Diseño, desarrollo y evaluación de un sistema de clasificación de objetos en imágenes que permita la monitorización de C. elegans mediante redes neuronales convolucionales

García Garví, Antonio (Universitat Politècnica de València, 2019-09-24)

[ES] En este proyecto se ha desarrollado un algoritmo que facilita las tareas de monitorización de nematodos Caenorhabditis elegans (C. elegans), con el objetivo de automatizar las tareas de investigación. En concreto, se ...
Diseño, implementación y evaluación de técnicas genéricas de detección de C. elegans mediante redes neuronales convolucionales

Rico Guardiola, Ernesto Jesús (Universitat Politècnica de València, 2022-10-05)

[ES] El nematodo Caenorhabditis elegans (C. elegans) ha emergido como un importante modelo animal para la investigación de enfermedades neurodegenerativas y desarrollo de nuevos fármacos y grupos alimenticios. Por este ...
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 ...