User profiles for X. Lladó

Xavier Llado

Full Professor. ICREA Academia. University of Girona.
Verified email at eia.udg.edu
Cited by 10674

A review of atlas-based segmentation for magnetic resonance brain images

M Cabezas, A Oliver, X Lladó, J Freixenet… - Computer methods and …, 2011 - Elsevier
… ) are on the same spatial coordinates, which we refer to as the atlas space X π . On the …
space X I . Therefore, in order to use the atlas information, a transformation τ : x π ∈ X π ↦ x I ∈ X

The SLAM problem: a survey

…, Y Petillot, J Salvi, X Lladó - … Intelligence Research and …, 2008 - ebooks.iospress.nl
This paper surveys the most recent published techniques in the field of Simultaneous Localization
and Mapping (SLAM). In particular it is focused on the existing techniques available to …

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

…, S Valverde, A Oliver, R Martí, X Lladó - Artificial intelligence in …, 2019 - Elsevier
… ) and variants: which are expressed in a general form as(1) f ( z lk xy ) = max ( z lk xy , 0 ) if
z lk xy > 0 , min ( α · z lk xy , 0 ) if z lk xy ≤ 0 , where z lk xy is the input value at position (x, y) …

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

…, L Ramió-Torrentà, À Rovira, A Oliver, X Lladó - NeuroImage, 2017 - Elsevier
In this paper, we present a novel automated method for White Matter (WM) lesion segmentation
of Multiple Sclerosis (MS) patient images. Our approach is based on a cascade of two …

Segmentation of multiple sclerosis lesions in brain MRI: a review of automated approaches

X Lladó, A Oliver, M Cabezas, J Freixenet… - Information …, 2012 - Elsevier
… However, from the image processing viewpoint, it is common to simplify all these problems
[89], defining the intensities, Y, of each voxel as:(1) Y = α X + β where X is the real intensity, α …

Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge

…, A Khademi, J Knight, H Li, X Llado… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
… Oliver, and X. Lladó, “Improving automated multiple sclerosis lesion segmentation with a
cascaded 3D convolutional neural network approach,” NeuroImage, vol. 155, pp. 159–168, …

[HTML][HTML] Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure

…, J Muschelli, E Sweeney, E Roura, X Lladó… - Scientific reports, 2018 - nature.com
We present a study of multiple sclerosis segmentation algorithms conducted at the
international MICCAI 2016 challenge. This challenge was operated using a new open-science …

A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

S Ghose, A Oliver, R Martí, X Lladó, JC Vilanova… - Computer methods and …, 2012 - Elsevier
Prostate segmentation is a challenging task, and the challenges significantly differ from one
imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts …

Automatic mass detection in mammograms using deep convolutional neural networks

R Agarwal, O Diaz, X Lladó, MH Yap… - Journal of Medical …, 2019 - spiedigitallibrary.org
… the NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research.
… Xavier Lladó is an associate professor and the head of the Department of Computer …

[HTML][HTML] Deep learning for mass detection in full field digital mammograms

R Agarwal, O Diaz, MH Yap, X Lladó, R Marti - Computers in biology and …, 2020 - Elsevier
… The authors gratefully acknowledge the support of the NVIDIA Corporation with the donation
of the Titan X Pascal GPU used for this research. We would like to thank Kim’s English …