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2020 – today
- 2022
[c28]Rodrigo Moreno
, Andrés Faiña:
Out of Time: On the Constrains that Evolution in Hardware Faces When Evolving Modular Robots. EvoApplications 2022: 667-682- [c27]Kathryn Walker, Rasmus Berg Palm, Rodrigo Moreno, Andrés Faiña, Kasper Støy, Sebastian Risi:
Physical Neural Cellular Automata for 2D Shape Classification. IROS 2022: 12667-12673 - [c26]Marcelo Junior, Rodrigo Moreno, Lina Garcés, Elisa Yumi Nakagawa:
BEATS: Search Engine for Architectural Strategies for Security. SBES 2022: 263-268 - [i2]Antonia Hain, Daniel Jörgens, Rodrigo Moreno:
Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering. CoRR abs/2205.04843 (2022) - [i1]Jingru Fu, Antonios Tzortzakakis, José Barroso, Eric Westman, Daniel Ferreira, Rodrigo Moreno:
Generative Aging of Brain Images with Diffeomorphic Registration. CoRR abs/2205.15607 (2022) - 2021
- [j8]Rodrigo Moreno, Andrés Faiña:
EMERGE Modular Robot: A Tool for Fast Deployment of Evolved Robots. Frontiers Robotics AI 8: 699814 (2021) - 2020
- [c25]Rodrigo Moreno, Andrés Faiña:
Using Evolution to Design Modular Robots: An Empirical Approach to Select Module Designs. EvoApplications 2020: 276-290 - [c24]Rodrigo Moreno, Andrés Faiña:
Reusability vs morphological space in physical robot evolution. GECCO Companion 2020: 1389-1391
2010 – 2019
- 2018
- [j7]Aramis Pérez, Vanessa Quintero, Francisco Jaramillo, Heraldo Rozas, Diego Jiménez, Marcos E. Orchard, Rodrigo Moreno:
Characterization of the degradation process of lithium-ion batteries when discharged at different current rates. J. Syst. Control. Eng. 232(8): 1075-1089 (2018) - [c23]Henry Hernández, Rodrigo Moreno, Andrés Faiña, Jonatan Gómez:
Design of a Bio-Inspired Controller to Operate a Modular Robot Autonomously. IBERAMIA 2018: 314-325 - [c22]Rodrigo Moreno, Frank Veenstra, David Silvera, Julian Franco, Oscar Gracia, Ernesto Córdoba, Jonatan Gómez, Andrés Faiña:
Automated Reconfiguration of Modular Robots Using Robot Manipulators. SSCI 2018: 884-891 - 2017
- [c21]Aramis Pérez, Vanessa Quintero, Heraldo Rozas, Francisco Jaramillo, Rodrigo Moreno, Marcos E. Orchard:
Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges. CoDIT 2017: 860-865 - [c20]Rodrigo Moreno, Ceyue Liu, Andrés Faiña, Henry Hernández, Jonatan Gómez:
The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies. GECCO (Companion) 2017: 71-72 - [c19]Ceyue Liu, Jiangong Liu, Rodrigo Moreno, Frank Veenstra, Andrés Faiña:
The impact of module morphologies on modular robots. ICAR 2017: 237-243 - [c18]Manish Chowdhury, Daniel Jörgens, Chunliang Wang, Örjan Smedby, Rodrigo Moreno:
Segmentation of cortical bone using fast level sets. Medical Imaging: Image Processing 2017: 1013327 - [c17]Benjamin Klintström, Eva Klintström, Örjan Smedby, Rodrigo Moreno:
Feature Space Clustering for Trabecular Bone Segmentation. SCIA (2) 2017: 65-75 - [c16]Manish Chowdhury, Benjamin Klintström, Eva Klintström, Örjan Smedby, Rodrigo Moreno:
Granulometry-Based Trabecular Bone Segmentation. SCIA (2) 2017: 100-108 - 2016
- [c15]Manish Chowdhury, Samuel Rota Bulò, Rodrigo Moreno, Malay Kumar Kundu, Örjan Smedby:
An efficient radiographic Image Retrieval system using Convolutional Neural Network. ICPR 2016: 3134-3139 - [c14]Rodrigo Moreno, Örjan Smedby:
Vesselness estimation through higher-order orientation tensors. ISBI 2016: 1139-1142 - [c13]Daniel Jörgens, Örjan Smedby, Rodrigo Moreno:
Steering second-order tensor voting by vote clustering. ISBI 2016: 1245-1248 - 2015
- [j6]Rodrigo Moreno, Örjan Smedby:
Gradient-based enhancement of tubular structures in medical images. Medical Image Anal. 26(1): 19-29 (2015) - [c12]Rodrigo Moreno, Andrés Faiña, Kasper Støy:
Evolving Robot Controllers for Structured Environments Through Environment Decomposition. EvoApplications 2015: 795-806 - [p3]Daniel Jörgens, Rodrigo Moreno:
Tensor Voting: Current State, Challenges and New Trends in the Context of Medical Image Analysis. Visualization and Processing of Higher Order Descriptors for Multi-Valued Data 2015: 163-187 - 2014
- [c11]Rodrigo Moreno, Örjan Smedby:
Volume-Based Fabric Tensors through Lattice-Boltzmann Simulations. ICPR 2014: 3179-3184 - [p2]Mario Hlawitschka, Ingrid Hotz, Andrea Kratz, G. Elisabeta Marai, Rodrigo Moreno, Gerik Scheuermann, Markus Stommel, Alexander Wiebel, Eugene Zhang:
Top Challenges in the Visualization of Engineering Tensor Fields. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 3-15 - [p1]Rodrigo Moreno, Magnus Borga, Örjan Smedby:
Techniques for Computing Fabric Tensors: A Review. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 271-292 - 2013
- [j5]Hortense A. Kirisli, Michiel Schaap, Coert Metz, A. S. Dharampal, W. B. Meijboom, S. L. Papadopoulou, A. Dedic, K. Nieman, Michiel A. de Graaf, M. F. L. Meijs, M. J. Cramer, Alexander Broersen, Suheyla Cetin, Abouzar Eslami, Leonardo Florez-Valencia, Kuo-Lung Lor, Bogdan J. Matuszewski, Imen Melki, Brian Mohr, Ilkay Öksüz, Rahil Khurram Shahzad, Chunliang Wang, Pieter H. Kitslaar, Gözde B. Ünal, Amin Katouzian, Maciej Orkisz, Chung-Ming Chen, Frédéric Precioso, Laurent Najman, S. Masood, Devrim Ünay, Lucas J. van Vliet, Rodrigo Moreno, Roman Goldenberg, Erald Vuçini, Gabriel P. Krestin, Wiro J. Niessen, Theo van Walsum:
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Medical Image Anal. 17(8): 859-876 (2013) - [j4]Rodrigo Moreno, Sandeep Koppal, Ebo de Muinck:
Robust estimation of distance between sets of points. Pattern Recognit. Lett. 34(16): 2192-2198 (2013) - [c10]Rodrigo Moreno, Chunliang Wang, Örjan Smedby:
Vessel Wall Segmentation Using Implicit Models and Total Curvature Penalizers. SCIA 2013: 299-308 - 2012
- [c9]Rodrigo Moreno, Magnus Borga, Örjan Smedby:
Evaluation of the plate-rod model assumption of trabecular bone. ISBI 2012: 470-473 - [c8]Rodrigo Moreno, Magnus Borga, Örjan Smedby:
Estimation of trabecular thickness in gray-scale images through granulometric analysis. Medical Imaging: Image Processing 2012: 831451 - 2011
- [j3]Carme Julià, Rodrigo Moreno, Domenec Puig, Miguel Ángel García:
Shape-based image segmentation through photometric stereo. Comput. Vis. Image Underst. 115(1): 91-104 (2011) - [j2]Rodrigo Moreno, Miguel Ángel García, Domenec Puig, Carme Julià:
Edge-preserving color image denoising through tensor voting. Comput. Vis. Image Underst. 115(11): 1536-1551 (2011) - [j1]Rodrigo Moreno, Miguel Ángel García, Domenec Puig, Luis Pizarro, Bernhard Burgeth, Joachim Weickert:
On Improving the Efficiency of Tensor Voting. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2215-2228 (2011) - [c7]Rodrigo Moreno, Jonatan Gómez:
Central pattern generators and hormone inspired messages: A hybrid control strategy to implement motor primitives on chain type modular reconfigurable robots. ICRA 2011: 1014-1019 - [c6]Rodrigo Moreno, Örjan Smedby, Magnus Borga:
Soft classification of trabeculae in trabecular bone. ISBI 2011: 1641-1644 - 2010
- [c5]Rodrigo Moreno, Miguel Ángel García, Domenec Puig:
Robust Color Image Segmentation through Tensor Voting. ICPR 2010: 3372-3375
2000 – 2009
- 2009
- [c4]Rodrigo Moreno, Miguel Ángel García, Domenec Puig, Carme Julià:
On Adapting the Tensor Voting Framework to Robust Color Image Denoising. CAIP 2009: 492-500 - [c3]Rodrigo Moreno, Miguel Ángel García, Domenec Puig, Carme Julià:
Robust color edge detection through tensor voting. ICIP 2009: 2153-2156 - [c2]Rodrigo Moreno, Domenec Puig, Carme Julià, Miguel Ángel García:
A new methodology for evaluation of edge detectors. ICIP 2009: 2157-2160 - 2007
- [c1]Rodrigo Moreno, Miguel Ángel García, Domenec Puig:
Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstraction Levels. GbRPR 2007: 148-157
Coauthor Index
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