Miguel Lozano

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 23

Top Topics

Atrial Fibrillation

Reinforcement Learning

Literature Review

Crowd Simulation

Top Venues

Publications

Dolors Serra, Pau Romero, Miguel Lozano, Ignacio García-Fernández, Diego Penela, Antonio Berruezo, Oscar Camara, Miguel Rodrigo, Miriam Gil, Rafael Sebastián
Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins. STACOM@MICCAI (2023)
María Termenón-Rivas, Javier Barrios-Álvarez De Arcaya, Giada S. Romitti, Pau Romero, Dolors Serra, Ignacio García-Fernández, Miguel Lozano, Rafael Sebastián, Alejandro Liberos, Miguel Rodrigo
Substrate-Specific Simulations of Atrial Fibrillation Reproducing Electrophysiological Clinical Markers. CinC (2023)
Pau Romero, Abel Pedrós, Rafael Sebastián, Miguel Lozano, Ignacio García-Fernández
Robust inter-patient comparison and analysis of blood vessels through the univocal definition of point coordinates. CoRR (2023)
Giada S. Romitti, Alejandro Liberos, María Termenón-Rivas, Javier Barrios-Álvarez de Arcaya, Pau Romero, Dolors Serra, Ignacio García-Fernández, Miguel Lozano, Rafael Sebastián, Miguel Rodrigo
Evaluation of Automata-Based Simulations for Atrial Fibrillation in 2D/3D Geometries Reproducing Disease Progression. CinC (2023)
Alejandro Liberos, Ximo Garcia-Gimeno, Giada S. Romitti, Ignacio García-Fernández, Miguel Lozano, Rafael Sebastián, Miguel Rodrigo
Role of Heterogeneous Ionic Profiles in Atrial Fibrillation Propagation. A Population of Models Study. CinC (2023)
Giada S. Romitti, Alejandro Liberos, Pau Romero, Dolors Serra, Ignacio García-Fernández, Miguel Lozano, Rafael Sebastián, Miguel Rodrigo
Cellular Automata for Fast Simulations of Arrhythmogenic Atrial Substrate. FIMH (2023)
Dolors Serra, Paula Franco, Pau Romero, Ignacio García-Fernández, Miguel Lozano, David Soto, Diego Penela, Antonio Berruezo, Oscar Camara, Rafael Sebastián
Personalized Fast Electrophysiology Simulations to Evaluate Arrhythmogenicity of Ventricular Slow Conduction Channels. STACOM@MICCAI (2022)
Pau Romero, Miguel Lozano, Giada Romitti, Dolors Serra, Ignacio García-Fernández, Alejandro Liberos, Miguel Rodrigo, Rafael Sebastián
Machine Learning Based Cell Model for Fast Approximation of Cellular Action Potential to Enable Clinical Translation. CinC (2022)
Giada S. Romitti, Pau Romero, Alejandro Liberos, Dolors Serra, Ignacio García-Fernández, Miguel Lozano, Rafael Sebastián, Miguel Rodrigo
The Effects of Long- and Short-term Memory on Action Potential Duration for Atrial Cellular Automata. CinC (2022)
Fernando Barber, Peter Langfield, Miguel Lozano, Ignacio García-Fernández, Josselin Duchateau, Mélèze Hocini, Michel Haïssaguerre, Edward J. Vigmond, Rafael Sebastián
Estimation of Personalized Minimal Purkinje Systems From Human Electro-Anatomical Maps. IEEE Trans. Medical Imaging 40 (8) (2021)
Dolors Serra, Pau Romero, Miguel Lozano, Ignacio García-Fernández, Alejandro Liberos, Miguel Rodrigo, Antonio Berruezo, Alfonso Bueno-Orovio, Rafael Sebastián
Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients. FIMH (2021)
Pau Romero, Dolors Serra, Miguel Lozano, Rafael Sebastián, Ignacio García-Fernández
Assessment of Geometric Models for the Approximation of Aorta Cross-Sections. FIMH (2021)
Fernando Barber, Peter Langfield, Miguel Lozano, Ignacio García-Fernández, Josselin Duchateau, Mélèze Hocini, Michel Haïssaguerre, Edward J. Vigmond, Rafael Sebastián
Personalization of ventricular cardiac conduction system models to reproduce patient electrocardiogram. CinC (2021)
Dolors Serra, Pau Romero, Miguel Lozano, Ignacio García-Fernández, Alejandro Liberos, Miguel Rodrigo, Antonio Berruezo, Alfonso Bueno-Orovio, Rafael Sebastián
Arrhythmic3D: a fast automata-based tool to simulate and assess arrhythmia risk in 3D ventricular models. CinC (2021)
Ralph Laite, Miguel Lozano, Karthik Sankaranarayanan
Terrorist Group Classification of Historic Terrorist Attacks from The Global Terrorism Database. ICCSE (2019)
Rubén Doste, Miguel Lozano, Juan Francisco Gomez, Alejandro Alcaine, Lluís Mont, Antonio Berruezo, Oscar Camara, Rafael Sebastián
Predicting the Origin of Outflow Tract Ventricular Arrhythmias Using Machine Learning Techniques Trained With Patient-Specific Electrophysiological Simulations. CinC (2019)
Eduardo J. Godoy, Miguel Lozano, Ignacio García-Fernández, Rafael Sebastián
Combining Biophysical Modeling and Machine Learning to Predict Location of Atrial Ectopic Triggers. CinC (2018)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models. Simul. Model. Pract. Theory 74 (2017)
Fernando Barber, Miguel Lozano, Ignacio García-Fernández, Rafael Sebastián
Estimation of Location and Activation Time of Purkinje Myocardial Junctions from Sparse and Noisy Endocardial Electrical Samples. CinC (2017)
Francisco Martinez-Gil, Miguel Lozano, Ignacio García-Fernández, Fernando Fernández
Modeling, Evaluation, and Scale on Artificial Pedestrians: A Literature Review. ACM Comput. Surv. 50 (5) (2017)
Carlos Monteagudo, Miguel Lozano, Ignacio García-Fernández, Francisco Martinez-Gil
Phase Space Data-Driven Simulation of Elastic Materials. CEIG (2016)
Fernando Barber, Miguel Lozano, Ignacio García-Fernández, Rafael Sebastián
Automatic Location of Sources of Electrical Activation from Electroanatomical Maps. CinC (2016)
Cristóbal Rodero, Pablo Real, Pedro Zuñeda, Carlos Monteagudo, Miguel Lozano, Ignacio García-Fernández
Characterisation of Position Based Dynamics for Elastic Materials. CEIG (2016)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Strategies for simulating pedestrian navigation with multiple reinforcement learning agents. Auton. Agents Multi Agent Syst. 29 (1) (2015)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study. MABS (2014)
Guillermo Vigueras, Juan M. Orduña, Miguel Lozano, José M. Cecilia, José M. García
Accelerating collision detection for large-scale crowd simulation on multi-core and many-core architectures. Int. J. High Perform. Comput. Appl. 28 (1) (2014)
Francisco Grimaldo, Juan M. Orduña, Miguel Lozano, Francisco Ródenas, Jorge Garcés
Towards a Simulator of Integrated Long-Term Care Systems for Elderly People. Int. J. Artif. Intell. Tools 23 (1) (2014)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups. Simul. Model. Pract. Theory 47 (2014)
Pascual Pérez-Carro, Francisco Grimaldo, Miguel Lozano, Juan M. Orduña
Characterization of the Jason multiagent platform on multicore processors. Sci. Program. 22 (1) (2014)
Guillermo Vigueras, Juan M. Orduña, Miguel Lozano, Yvon Jégou
A scalable multiagent system architecture for interactive applications. Sci. Comput. Program. 78 (6) (2013)
Guillermo Vigueras, Juan M. Orduña, Miguel Lozano
A Read-Copy Update based parallel server for distributed crowd simulations. J. Supercomput. 64 (1) (2013)
Miguel Lozano, Ignacio García-Fernández, Juan Manuel Orduña
Population Dynamics Visualization. CEIG (2012)
Francisco Grimaldo, Miguel Lozano, Fernando Barber, Alejandro Guerra-Hernández
Towards a model for urban mobility social simulation. Prog. Artif. Intell. 1 (2) (2012)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation. MIG (2012)
Mónica Carvalho, Miguel Lozano, Luis Serra, Volker Wohlgemuth
Modeling simple trigeneration systems for the distribution of environmental loads. Environ. Model. Softw. 30 (2012)
Guillermo Vigueras, Juan M. Orduña, Miguel Lozano, Yiorgos Chrysanthou
A distributed visualization system for crowd simulations. Integr. Comput. Aided Eng. 18 (4) (2011)
Guillermo Vigueras, Miguel Lozano, Juan M. Orduña
Workload balancing in distributed crowd simulations: the partitioning method. J. Supercomput. 58 (2) (2011)
Francisco Grimaldo, Miguel Lozano, Fernando Barber, Alejandro Guerra-Hernández
A J-MADeM Agent-Based Social Simulation to Model Urban Mobility. PAAMS (2011)
Francisco Grimaldo, Miguel Lozano, Fernando Barber
J-MADeM, a market-based model for complex decision problems. Log. J. IGPL 19 (2) (2011)
Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández
Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation. ALA (2011)
Victor Fernández-Bauset, Francisco Grimaldo, Miguel Lozano, Juan M. Orduña
Tuning Java to Run Interactive Multiagent Simulations over Jason. Australasian Conference on Artificial Intelligence (2010)
Francisco Martinez-Gil, Fernando Barber, Miguel Lozano, Francisco Grimaldo, Fernando Fernández
A Reinforcement Learning Approach for Multiagent Navigation. ICAART (1) (2010)
Guillermo Vigueras, Juan M. Orduña, Miguel Lozano
Performance improvements of real-time crowd simulations. IPDPS Workshops (2010)
Guillermo Vigueras, Miguel Lozano, Juan Manuel Orduña, Francisco Grimaldo
A comparative study of partitioning methods for crowd simulations. Appl. Soft Comput. 10 (1) (2010)
Guillermo Vigueras, Juan M. Orduña, Miguel Lozano
A GPU-Based Multi-agent System for Real-Time Simulations. PAAMS (2010)
Victor Fernández, Francisco Grimaldo, Miguel Lozano, Juan M. Orduña
Evaluating Jason for Distributed Crowd Simulations. ICAART (2) (2010)
Francisco Grimaldo, Miguel Lozano, Fernando Barber
J-MADeM, an open-source library for social decision-making. CCIA (2009)
Miguel Lozano, Pedro Morillo, Juan M. Orduña, Vicente Cavero, Guillermo Vigueras
A new system architecture for crowd simulation. J. Netw. Comput. Appl. 32 (2) (2009)
Guillermo Vigueras, Miguel Lozano, Carlos Perez, Juan M. Orduña
A Scalable Architecture for Crowd Simulation: Implementing a Parallel Action Server. ICPP (2008)
Francisco Grimaldo, Miguel Lozano, Fernando Barber
MADeM: a multi-modal decision making for social MAS. AAMAS (1) (2008)
Guillermo Vigueras, Miguel Lozano, Juan Manuel Orduña, Francisco Grimaldo
Improving the Performance of Partitioning Methods for Crowd Simulations. HIS (2008)
Francisco Grimaldo, Miguel Lozano, Fernando Barber, Guillermo Vigueras
Simulating socially intelligent agents in semantic virtual environments. Knowl. Eng. Rev. 23 (4) (2008)
Francisco Grimaldo, Miguel Lozano, Fernando Barber, Guillermo Vigueras
Animating groups of Socially Intelligent Agents. CW (2007)
Francisco Grimaldo, Miguel Lozano, Fernando Barber
Social Animation in Complex Environments. IVA (2007)
Miguel Lozano, Juan M. Orduña, Vicente Cavero
A Genetic Approach for Distributing Semantic Databases of Crowd Simulations. IPDPS (2007)
Miguel Lozano, Pedro Morillo, Juan M. Orduña, Vicente Cavero
On the Design of an Efficient Architecture for Supporting Large Crowds of Autonomous Agents. AINA (2007)
Miguel Lozano, Pedro Morillo, Daniel Lewis, Dirk Reiners, Carolina Cruz-Neira
A Distributed Framework for Scalable Large-Scale Crowd Simulation. HCI (14) (2007)
Francisco Grimaldo, Miguel Lozano, Fernando Barber
Coordination and Sociability for Intelligent Virtual Agents. COIN (2007)
Francisco Grimaldo, Miguel Lozano, Fernando Barber, Juan M. Orduña
Integrating Social Skills in Task-Oriented 3D IVA. IVA (2005)
Miguel Lozano, Carlos Calderon
Entornos Virtuales 3D clásicos e inteligentes: Hacia un nuevo marco de simulación para aplicaciones gráficas 3D interactivas. Inteligencia Artif. 8 (23) (2004)
Miguel Lozano, Francisco Grimaldo, Fernando Barber
Integrating miniMin-HSP Agents in a Dynamic Simulation Framework. SETN (2004)
Miguel Lozano, Francisco Grimaldo, Javier Villaplana
Towards Reactive Navigation and Attention Skills for 3D Intelligent Characters. IWANN (2) (2003)
Miguel Lozano, Rafael Lucia, Fernando Barber, Francisco Grimaldo, António Lucas Soares, Alicia Fornés
An Efficient Synthetic Vision System for 3D Multi-character Systems. IVA (2003)
Mariano Pérez, Marcos Fernández, Miguel Lozano
Adding Synthetic Detail to Natural Terrain Using a Wavelet Approach. International Conference on Computational Science (2) (2002)
Miguel Lozano, Steven J. Mead, Marc Cavazza, Fred Charles
Search Based Planning: A Model for Character Behaviour. GAME-ON (2002)
Miguel Lozano, Javier Molina
A neural approach to an attentive navigation for 3D intelligent virtual agents. SMC (2002)