Search Results for author: Xavier Lladó

Found 10 papers, 8 papers with code

Acute and sub-acute stroke lesion segmentation from multimodal MRI

2 code implementations31 Oct 2018 Albert Clèrigues, Sergi Valverde, Jose Bernal, Jordi Freixenet, Arnau Oliver, Xavier Lladó

Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed treatment decisions.

Acute Stroke Lesion Segmentation Anatomy +5

Survival prediction using ensemble tumor segmentation and transfer learning

1 code implementation4 Oct 2018 Mariano Cabezas, Sergi Valverde, Sandra González-Villà, Albert Clérigues, Mostafa Salem, Kaisar Kushibar, Jose Bernal, Arnau Oliver, Xavier Lladó

Moreover, predicting the survival of the patient using mainly imaging features, while being a desirable outcome to evaluate the treatment of the patient, it is also a difficult task.

Survival Prediction Transfer Learning +1

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

3 code implementations31 May 2018 Sergi Valverde, Mostafa Salem, Mariano Cabezas, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, Joaquim Salvi, Arnau Oliver, Xavier Lladó

In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis (MS) patient images, due to their superior performance compared with those of other state-of-the-art methods.

Domain Adaptation Lesion Segmentation

Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging

1 code implementation19 Jan 2018 Jose Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó

Accurate brain tissue segmentation in Magnetic Resonance Imaging (MRI) has attracted the attention of medical doctors and researchers since variations in tissue volume help in diagnosing and monitoring neurological diseases.

Brain Segmentation

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

no code implementations11 Dec 2017 Jose Bernal, Kaisar Kushibar, Daniel S. Asfaw, Sergi Valverde, Arnau Oliver, Robert Martí, Xavier Lladó

We present an extensive literature review of CNN techniques applied in brain magnetic resonance imaging (MRI) analysis, focusing on the architectures, pre-processing, data-preparation and post-processing strategies available in these works.

Lesion Segmentation Object Recognition +1

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

2 code implementations16 Feb 2017 Sergi Valverde, Mariano Cabezas, Eloy Roura, Sandra González-Villà, Deborah Pareto, Joan-Carles Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, Arnau Oliver, Xavier Lladó

We evaluate the accuracy of the proposed method on the public MS lesion segmentation challenge MICCAI2008 dataset, comparing it with respect to other state-of-the-art MS lesion segmentation tools.

Lesion Segmentation Segmentation

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