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Rodrigo Moreno
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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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last updated on 2023-03-26 00:37 CET by the dblp team
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