Daniel Caballero

14 papers C 3Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
AI-Based System for Assistance in Minimally Invasive Renal Procedures Using Mixed Reality. First Steps.
IbPRIA (2)
Emilio Delgado, Daniel Caballero, Lucía Salazar-Carrasco, Ignacio Sánchez-Varo, Jesús León-Regalado, Juan Alberto Sánchez-Margallo, Roberto Rodríguez-Echeverría, Francisco M. Sánchez-Margallo
2025 C conf
CHYMERA: AI-Powered System for Automated and Explainable Quality Assessment of Chest Radiographs.
BIBE
Lucia Borrego, Christian Mata, Inés Del Val, Daniel Caballero, Lydia Canales, Josep Munuera
2025 J jnl
Optimization of an artificial neural network for predicting stress in robot-assisted laparoscopic surgery based on EDA sensor data.
Int. J. Comput. Assist. Radiol. Surg.
Daniel Caballero, Manuel J. Pérez-Salazar, Juan Alberto Sánchez-Margallo, Francisco M. Sánchez-Margallo
2024 J jnl
Applying artificial intelligence on EDA sensor data to predict stress on minimally invasive robotic-assisted surgery.
Int. J. Comput. Assist. Radiol. Surg.
Daniel Caballero, Manuel J. Pérez-Salazar, Juan Alberto Sánchez-Margallo, Francisco M. Sánchez-Margallo
2024 J jnl
Comparative Study of Ergonomics in Conventional and Robotic-Assisted Laparoscopic Surgery.
Sensors
Manuel J. Pérez-Salazar, Daniel Caballero, Juan Alberto Sánchez-Margallo, Francisco M. Sánchez-Margallo
2021 J jnl
Finding the Largest Volume Parallelepipedon of Arbitrary Orientation in a Solid.
IEEE Access
Rubén Molano, Daniel Caballero, Pablo García Rodríguez, María Mar Ávila, Juan Pedro Torres, Maria Luisa Durán, José Carlos Sancho, Andrés Caro
2021 J jnl
Optimization of the image acquisition procedure in low-field MRI for non-destructive analysis of loin using predictive models.
PeerJ Comput. Sci.
Daniel Caballero, Trinidad Pérez-Palacios, Andrés Caro, Mar Ávila, Teresa Antequera
2020 J jnl
Radial textures: a new algorithm to analyze meat quality on MRI.
Multim. Tools Appl.
Daniel Caballero
2019 J jnl
Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces.
Eng. Appl. Artif. Intell.
María Mar Ávila, Maria Luisa Durán, Daniel Caballero, Teresa Antequera, Trinidad Pérez-Palacios, Eva Cernadas, Manuel Fernández Delgado
2019 — conf
Non-destructively Prediction of Quality Parameters of Dry-Cured Iberian Ham by Applying Computer Vision and Low-Field MRI.
IbPRIA (1)
Juan Pedro Torres, Mar Ávila, Andrés Caro, Trinidad Pérez-Palacios, Daniel Caballero
2018 C conf
Radial Textures: A New Approach to Analyze Meat Quality by Using MRI.
CIARP
Daniel Caballero, Andrés Caro, José Manuel Amigo, María Mar Ávila, Teresa Antequera, Trinidad Pérez-Palacios
2017 — conf
Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins.
CAIP (1)
Daniel Caballero, Andrés Caro, José Manuel Amigo, Anders B. Dahl, Bjarne K. Ersbøll, Trinidad Pérez-Palacios
2015 C conf
Including 3D-textures in a Computer Vision System to Analyze Quality Traits of Loin.
ICVS
María Mar Ávila, Daniel Caballero, Maria Luisa Durán, Andrés Caro, Trinidad Pérez-Palacios, Teresa Antequera
2013 — conf
A Variability Model for Template Personalization in Mobile Prosumer Environments.
AINA Workshops
Ramón Alcarria, Tomás Robles, Augusto Morales Dominguez, Sergio Gonzalez-Miranda, Daniel Caballero