Reducing Results Variance in Lifespan Machines: An Analysis of the Influence of Vibrotaxis on Wild-Type Caenorhabditis elegans for the Death Criterion. - Joan Carles Puchalt; Pablo E. Layana Castro; Antonio-José Sánchez-Salmerón (Sensors, 2020)

Caenorhabditis elegans Multi-Tracker Based on a Modified Skeleton Algorithm. - Pablo E. Layana Castro; Joan Carles Puchalt; Antonio García Garví; Antonio-José Sánchez-Salmerón (Sensors, 2021)

Towards Lifespan Automation for Caenorhabditis elegans Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification. - Antonio García Garví; Joan Carles Puchalt; Pablo E. Layana Castro; Francisco Navarro Moya; Antonio-José Sánchez-Salmerón (Sensors, 2021)

Caenorhabditis Elegans Detection Using YOLOv5 and Faster R-CNN Networks. - Ernesto Jesús Rico-Guardiola; Pablo E. Layana Castro; Antonio García Garví; Antonio-José Sánchez-Salmerón (OL2A, 2022)

A new training strategy for spatial transform networks (STN's). - Francisco Navarro Moya; Joan Carles Puchalt; Pablo E. Layana Castro; Antonio García Garví; Antonio-José Sánchez-Salmerón (Neural Comput. Appl., 2022)

Skeletonizing Caenorhabditis elegans Based on U-Net Architectures Trained with a Multi-worm Low-Resolution Synthetic Dataset. - Pablo E. Layana Castro; Antonio García Garví; Francisco Navarro Moya; Antonio-José Sánchez-Salmerón (Int. J. Comput. Vis., 2023)

SegElegans: Instance segmentation using dual convolutional recurrent neural network decoder in Caenorhabditis elegans microscopic images. - Pablo E. Layana Castro; Konstantinos Kounakis; Antonio García Garví; Ilias Gkikas; Ioannis Tsiamantas; Nektarios Tavernarakis; Antonio-José Sánchez-Salmerón (Comput. Biol. Medicine, 2025)