RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments. - Andrés Fuster Guilló; Jorge Azorín López; Marcelo Saval-Calvo; Juan Miguel Castillo Zaragoza; Nahuel E. Garcia-D'Urso; Robert B. Fisher (Sensors, 2020)

Efficient instance segmentation using deep learning for species identification in fish markets. - Nahuel E. Garcia-D'Urso; Alejandro Galán-Cuenca; Pau Climent-Pérez; Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló (IJCNN, 2022)

Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning. - Pau Climent-Pérez; Alejandro Galán-Cuenca; Nahuel Emiliano Garcia-D'Urso; Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló (SOCO, 2022)

A Template-Based Method for Automatic Anthropometric Measurements from Multiple 3D Scans. - Nahuel E. Garcia-D'Urso; Jorge Azorín López; Andrés Fuster Guilló (UCAmI, 2022)

A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning. - Nahuel E. Garcia-D'Urso; Pau Climent-Pérez; Miriam Sánchez-Sansegundo; Ana Zaragoza-Martí; Andrés Fuster Guilló; Jorge Azorín López (IEEE Access, 2022)

3D Human Body Models: Parametric and Generative Methods Review. - Nahuel Emiliano Garcia-D'Urso; Pablo Ramon Guevara; Jorge Azorín López; Andrés Fuster Guilló (IWANN (1), 2023)

Advances in Human Body Modelling to Improve the Treatment of Obesity and Overweight. - Jorge Azorín López; Nahuel E. Garcia-D'Urso; Rosario Ferrer-Cascales; Andrés Fuster Guilló (RIIFORUM, 2023)

A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets. - Alejandro Galán-Cuenca; Nahuel E. Garcia-D'Urso; Pau Climent-Pérez; Andrés Fuster Guilló; Jorge Azorín López (SOCO (2), 2023)

Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds. - Nahuel E. Garcia-D'Urso; Jorge Azorín López; Andrés Fuster Guilló (SOCO (2), 2023)

Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks. - Nahuel E. Garcia-D'Urso; Pablo Ramon Guevara; Jorge Azorín López; Marc Sebban; Amaury Habrard; Andrés Fuster Guilló (UCAmI (2), 2023)

Generative shape deformation with optimal transport using learned transformations. - Jorge Azorín López; Marc Sebban; Nahuel E. Garcia-D'Urso; Amaury Habrard; Andrés Fuster Guilló (IJCNN, 2024)

Automatic Identification of Fish Species and Their Farmed or Wild Origin by Computer Vision and Deep Learning. - Mario Jerez-Tallón; Nahuel E. Garcia-D'Urso; Pau Climent-Pérez; Kilian Toledo-Guedes; Jorge Azorín López; Andrés Fuster Guilló (UCAmI, 2024)

3D Reconstruction of the Human Body from Partial Scans Using Parametric Models. - Juan Muelledes; Nahuel E. Garcia-D'Urso; Mario Jerez-Tallón; Andrés Fuster Guilló; Jorge Azorín López (UCAmI, 2024)

Automated anthropometric measurements from 3D point clouds of scanned bodies. - Nahuel E. Garcia-D'Urso; Antonio Maciá-Lillo; Higinio Mora Mora; Jorge Azorín López; Andrés Fuster Guilló (Image Vis. Comput., 2024)

Simultaneous, vision-based fish instance segmentation, species classification and size regression. - Pau Climent-Pérez; Alejandro Galán-Cuenca; Nahuel E. Garcia-D'Urso; Marcelo Saval-Calvo; Jorge Azorín López; Andrés Fuster Guilló (PeerJ Comput. Sci., 2024)

Decentralized Identity Management for Internet of Things (IoT) Devices Using IOTA Blockchain Technology. - Tamai Ramírez-Gordillo; Antonio Maciá-Lillo; Francisco A. Pujol; Nahuel E. Garcia-D'Urso; Jorge Azorín López; Higinio Mora (Future Internet, 2025)

Marker-Based Extrinsic Calibration Method for Accurate Multi-Camera 3D Reconstruction. - Nahuel E. Garcia-D'Urso; Bernabe Sanchez-Sos; Jorge Azorín López; Andrés Fuster Guilló; Antonio Maciá-Lillo; Higinio Mora Mora (CoRR, 2025)