Browsing by Author "Casamitjana Díaz, Adrià"
Now showing items 1-20 of 21
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3D convolutional neural networks for brain tumor segmentation
(2016)
Conference lecture
Restricted access - publisher's policyThis paper presents our work on applying 3D Convolutional Networks for brain tumor segmentation for the BRATS challenge. We are currently experimenting with different 3D fully convolutional architectures. We present ... -
3D convolutional neural networks for brain tumor segmentation: a comparison of multi-resolution architectures
(Springer, 2017-04-24)
Part of book or chapter of book
Open Access -
Benchmark on automatic 6-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
(2019-02-27)
Article
Open AccessAccurate segmentation of infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is an indispensable foundation for early studying of brain growth patterns and ... -
Cascaded V-Net using ROI masks for brain tumor segmentation
(Springer, 2018)
Part of book or chapter of book
Restricted access - publisher's policyThis book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, ... -
Characteristic brain volumetric changes in the AD preclinical signature
(Elsevier, 2018)
Article
Open Access -
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
(2019-03-19)
Research report
Open AccessGliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic ... -
Magnetic resonance imaging and machine learning make a valuable combined tool for the screening of preclinical AD
(2017-07)
Article
Open Access -
Masked V-Net: an approach to brain tumor segmentation
(2017)
Conference lecture
Restricted access - publisher's policyThis paper introduces Masked V-Net architecture, a variant of the recently introduced V-Net[13] that reformulates the residual connections and uses a ROI mask to constrain the network to train only on relevant voxels. ... -
MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials
(IOS Press, 2018)
Article
Open AccessThe identification of healthy individuals harboring amyloid pathology represents one important challenge for secondary prevention clinical trials in Alzheimer’s disease (AD). Consequently, noninvasive and cost-efficient ... -
NeAT: a nonlinear analysis toolbox for neuroimaging
(2020-03-25)
Article
Open AccessNeAT is a modular, flexible and user-friendly neuroimaging analysis toolbox for modeling linear and nonlinear effects overcoming the limitations of the standard neuroimaging methods which are solely based on linear models. ... -
Neuroimage analysis : application to dementia (and brain lesions)
(Universitat Politècnica de Catalunya. Biblioteca Rector Gabriel Ferraté, 2018-06-19)
Lecture
Open Access -
Neuroimage analysis : application to dementia (and brain lesions)
(Universitat Politècnica de Catalunya. Biblioteca Rector Gabriel Ferraté, 2018-06-19)
Audiovisual
Open Access -
New insights on speech signal modeling in a Bayesian framework approach
(Universitat Politècnica de Catalunya, 2015-05)
Master thesis (pre-Bologna period)
Open AccessSpeech signal processing has always brought a lot of attention from the communication theory community. Speech communication, as the most natural way of communication between humans, is, indeed, a mature reserach topics ... -
Prediction of amyloid pathology in cognitively unimpaired individuals using voxel-wise analysis of longitudinal structural brain MRI
(2019-08-17)
Article
Open AccessBackground Magnetic resonance imaging (MRI) has unveiled specific alterations at different stages of Alzheimer’s disease (AD) pathophysiologic continuum constituting what has been established as “AD signature”. To what ... -
PROCESSAMENT DIGITAL D'IMATGE (Examen 1r quadrimestre, 1r parcial)
(Universitat Politècnica de Catalunya, 2016-11-07)
Exam
Restricted access to the UPC academic community -
Projection to latent spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer's disease
(2020-07-28)
Article
Open AccessAlzheimer's disease (AD) continuum is defined as a cascade of several neuropathological processes that can be measured using biomarkers, such as cerebrospinal fluid (CSF) levels of Aß, p-tau, and t-tau. In parallel, brain ... -
Projection to latent spaces disentangles specific cerebral morphometric patterns associated to aging and preclinical AD”,
(Elsevier, 2018)
Article
Open Access -
Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease
(Springer International Publishing, 2018)
Conference lecture
Restricted access - publisher's policyIn this work, we identify meaningful latent patterns in MR images for patients across the Alzheimer’s disease (AD) continuum. For this purpose, we apply Projection to Latent Structures (PLS) method using cerebrospinal fluid ... -
Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study
(2019-08-01)
Article
Open AccessMagnetic resonance imaging (MRI) provides high resolution brain morphological information and is used as a biomarker in neurodegenerative diseases. Population studies of brain morphology often seek to identify pathological ... -
Standardized assessment of automatic segmentation of white matter hyperintensities; results of the WMH segmentation challenge
(2019-03)
Article
Open AccessQuantification of white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Advanced measurements are obtained from manual segmentations on brain MR images, ...
