User profiles for X. Lladó
Xavier LladoFull 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
… ) 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 …
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
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 …
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
… ) 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) …
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
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 …
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
… 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 …
[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
… Oliver, and X. Lladó, “Improving automated multiple sclerosis lesion segmentation with a
cascaded 3D convolutional neural network approach,” NeuroImage, vol. 155, pp. 159–168, …
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
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 …
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
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 …
imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts …
Automatic mass detection in mammograms using deep convolutional neural networks
… 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 …
… 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
… 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 …
of the Titan X Pascal GPU used for this research. We would like to thank Kim’s English …