S. Valverde

发表

A toolbox for multiple sclerosis lesion segmentation

A. Oliver, À. Rovira, X. Lladó, 2015, Neuroradiology.

Evaluating the Effects of White Matter Multiple Sclerosis Lesions on the Volume Estimation of 6 Brain Tissue Segmentation Methods

A. Oliver, À. Rovira, X. Lladó, 2015, American Journal of Neuroradiology.

A white matter lesion-filling approach to improve brain tissue volume measurements

A. Oliver, X. Lladó, S. Valverde, 2014, NeuroImage: Clinical.

Assessment of automatic decision-support systems for detecting active T2 lesions in multiple sclerosis patients

F. X. Aymerich, A. Oliver, À. Rovira, 2021, Multiple sclerosis.

brain structures segmentation in magnetic resonance imaging

A. Oliver, R. Zwiggelaar, X. Lladó, 2016 .

Ensemble of convolutional neural networks for acute stroke anatomy differentiation

A. Oliver, X. Lladó, S. Valverde, 2018 .

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

Bjoern H Menze, Minh H. Vu, Nisarg A. Shah, 2021, The journal of machine learning for biomedical imaging.

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 use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis

A. Oliver, À. Rovira, X. Lladó, 2022, Frontiers in Neuroscience.

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

A. Oliver, X. Lladó, M. Cabezas, 2021, Neuroinformatics.

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.

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

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

Automated Detection of Lupus White Matter Lesions in MRI

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

An SPM12 extension for multiple sclerosis lesion segmentation

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

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

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

Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations

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

BOOST: A supervised approach for multiple sclerosis lesion segmentation

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

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

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

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

A. Oliver, R. Martí, À. Rovira, 2014, Neuroinformatics.

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

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

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

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

A review on brain structures segmentation in magnetic resonance imaging

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

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.

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.

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

Joaquim Salvi, Arnau Oliver, Mariano Cabezas, 2019, 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.

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

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

Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation

A. Oliver, À. Rovira, X. Lladó, 2021, Frontiers in Neuroscience.

Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry

A. Oliver, X. Lladó, J. Salvi, 2022, Comput. Medical Imaging Graph..

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.

Survival prediction using ensemble tumor segmentation and transfer learning pdf

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

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

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

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..

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

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

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

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

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

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

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

A. Oliver, X. Lladó, M. Cabezas, 2019, Scientific Reports.

Acute and sub-acute stroke lesion segmentation from multimodal MRI

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

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.

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

Sang Hyun Park, W. M. van der Flier, Matt Berseth, 2019, IEEE Transactions on Medical Imaging.

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

Sang Hyun Park, Matt Berseth, S. Ourselin, 2019 .

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

Francisco Javier Vera-Olmos, O. Commowick, M. Styner, 2018, Scientific Reports.

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

A. Oliver, J. Freixenet, X. Lladó, 2019, Comput. Biol. Medicine.