Sergi Valverde

发表

The long and winding road: Accidents and tinkering in software standardization

Sergi Valverde, S. Valverde, 2020, Mètode Revista de difusió de la investigació.

BOOST: A supervised approach for multiple sclerosis lesion segmentation

Arnau Oliver, Mariano Cabezas, Xavier Lladó, 2014, Journal of Neuroscience Methods.

Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations

Xavier Lladó, Arnau Oliver, Eloy Roura, 2015, Journal of magnetic resonance imaging : JMRI.

The evolutionary ecology of technological innovations

Ricard V. Solé, Martí Rosas-Casals, Stuart A. Kauffman, 2013, Complex..

An SPM12 extension for multiple sclerosis lesion segmentation

Arnau Oliver, Eloy Roura, Mariano Cabezas, 2016, SPIE Medical Imaging.

Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET

Joaquim Salvi, Xavier Lladó, Arnau Oliver, 2019, IEEE Access.

Emergence of Scale-Free Syntax Networks

Ricard V. Solé, Sergi Valverde, Bernat Corominas-Murtra, 2007, Evolution of Communication and Language in Embodied Agents.

Structural determinants of criticality in biological networks

Sergi Valverde, Jordi Garcia-Ojalvo, Bruce J. West, 2015, Front. Physiol..

m s Self-Organization Patterns in Wasp and Open Source Communities

Guy Theraulaz, Ricard V. Solé, Jacques Gautrais, 2006 .

The Topological Fortress of Termites

Guy Theraulaz, Pascale Kuntz, Christian Jost, 2008, BIOWIRE.

Logarithmic growth dynamics in software networks pdf

Ricard V. Solé, Sergi Valverde, R. Solé, 2005, ArXiv.

Breakdown of modularity in complex networks

Sergi Valverde, 2017 .

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Martin Styner, Isabelle Bloch, Abel G. Silva-Filho, 2018, Scientific Reports.

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

Alex Rovira, Arnau Oliver, Joan Carles Vilanova, 2017, NeuroImage.

Topological Vulnerability of the European Power Grid under Errors and Attacks

Ricard V. Solé, Martí Rosas-Casals, Sergi Valverde, 2007, Int. J. Bifurc. Chaos.

A review on brain structures segmentation in magnetic resonance imaging

Arnau Oliver, Liping Wang, Reyer Zwiggelaar, 2016, Artif. Intell. Medicine.

Automated tissue segmentation of MR brain images in the presence of white matter lesions

Xavier Lladó, Arnau Oliver, Joan Carles Vilanova, 2017, Medical Image Anal..

Language networks: Their structure, function, and evolution

Ricard V. Solé, Luc Steels, Sergi Valverde, 2007, Complex..

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Martin Styner, Isabelle Bloch, Abel G. Silva-Filho, 2018, bioRxiv.

SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI pdf

Xavier Lladó, Arnau Oliver, Jordi Freixenet, 2018, ArXiv.

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Simon Andermatt, Simon Pezold, Sang Hyun Park, 2019, IEEE Transactions on Medical Imaging.

Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients

Alex Rovira, Robert Marti, Arnau Oliver, 2013, Neuroinformatics.

Evolved Modular Epistasis in Artificial Organisms

Ricard V. Solé, Santiago F. Elena, Sergi Valverde, 2012, ALIFE.

Acute and sub-acute stroke lesion segmentation from multimodal MRI

Arnau Oliver, Jordi Freixenet, Xavier Lladó, 2018, Comput. Methods Programs Biomed..

Robustness of the European power grids under intentional attack.

Martí Rosas-Casals, Ricard V Solé, Sergi Valverde, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis

Joaquim Salvi, Arnau Oliver, Mariano Cabezas, 2019, NeuroImage: Clinical.

Discerning Electricity Consumption Patterns from Urban Allometric Scaling

Martí Rosas-Casals, Sergi Valverde, Ricard Horta-Bernus, 2010, 2010 Complexity in Engineering.

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

Joaquim Salvi, Alex Rovira, Arnau Oliver, 2018, NeuroImage: Clinical.

The Ontogeny of Scale-Free Syntax Networks: Phase Transitions in Early Language Acquisition

Ricard V. Solé, Sergi Valverde, Bernat Corominas-Murtra, 2009, Adv. Complex Syst..

Evolution of patent citation networks

Sergi Valverde, S. Valverde, 2014, 2014 Complexity in Engineering (COMPENG).

Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction

Arnau Oliver, Mariano Cabezas, Xavier Lladó, 2019, Scientific Reports.

Automated Detection of Lupus White Matter Lesions in MRI

Arnau Oliver, Eloy Roura, Xavier Lladó, 2016, Front. Neuroinform..

Automated sub‐cortical brain structure segmentation combining spatial and deep convolutional features

Xavier Lladó, Arnau Oliver, Mariano Cabezas, 2017, Medical Image Anal..

Language networks: Their structure, function, and evolution

Ricard V. Solé, Luc Steels, Sergi Valverde, 2010 .

Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review

Xavier Lladó, Robert Marti, Arnau Oliver, 2017, Artif. Intell. Medicine.

Survival prediction using ensemble tumor segmentation and transfer learning pdf

Xavier Lladó, Arnau Oliver, Mariano Cabezas, 2018, ArXiv.

Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks

Arnau Oliver, Jordi Freixenet, Xavier Lladó, 2019, Comput. Biol. Medicine.

Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging

Xavier Lladó, Arnau Oliver, Mariano Cabezas, 2018, IEEE Access.

Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors

Xavier Lladó, Arnau Oliver, Mariano Cabezas, 2021, Neuroinformatics.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results pdf

Christos Davatzikos, Gowtham Krishnan Murugesan, Chandan Ganesh, 2021, ArXiv.

Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation

Xavier Lladó, Arnau Oliver, Mariano Cabezas, 2017, NeuroImage: Clinical.

A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis

Joaquim Salvi, Xavier Lladó, Arnau Oliver, 2017, NeuroImage: Clinical.

Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling

Xavier Lladó, Arnau Oliver, Xavier Montalban, 2015, NeuroImage: Clinical.