Exploració per autor "Casamitjana Díaz, Adrià"
Ara es mostren els items 1-20 de 21
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3D convolutional neural networks for brain tumor segmentation
Casamitjana Díaz, Adrià; Puch Giner, Santi; Aduriz Saiz, Asier; Sayrol Clols, Elisa; Vilaplana Besler, Verónica (2016)
Comunicació de congrés
Accés restringit per política de l'editorialThis 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
Casamitjana Díaz, Adrià; Puch Giner, Santi; Aduriz Saiz, Asier; Vilaplana Besler, Verónica (Springer, 2017-04-24)
Capítol de llibre
Accés obert -
Benchmark on automatic 6-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
Wang, Li; Nie, Dong; Li, Guannan; Casamitjana Díaz, Adrià; Vilaplana Besler, Verónica (2019-02-27)
Article
Accés obertAccurate 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
Casamitjana Díaz, Adrià; Catà, Marcel; Sanchez Muriana, Irina; Combalia, Marc; Vilaplana Besler, Verónica (Springer, 2018)
Capítol de llibre
Accés restringit per política de l'editorialThis 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
Petrone, Paula; Casamitjana Díaz, Adrià; Falcón, Carlos; Artigues, Miquel; Operto, Grégory; Skouras, Stavros; Cacciaglia, Raffaele; Molinuevo, Jose Luis; Vilaplana Besler, Verónica; Gispert, Juan Domingo; Salvado, Gemma (Elsevier, 2018)
Article
Accés obert -
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
Bakas, Spyridon; Reyes, Mauricio; Jakab, Andras; Bauer, Stefan; Casamitjana Díaz, Adrià; Catà, Marcel; Combalia, Marc; Sanchez Muriana, Irina; Vilaplana Besler, Verónica (2019-03-19)
Report de recerca
Accés obertGliomas 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
Petrone, Paula; Vilaplana Besler, Verónica; Casamitjana Díaz, Adrià; Domingo Gispert, Juan; Molinuevo, Jose Luis; Sánchez Escobedo, Dalila (2017-07)
Article
Accés obert -
Masked V-Net: an approach to brain tumor segmentation
Catà, Marcel; Casamitjana Díaz, Adrià; Sanchez Muriana, Irina; Combalia, Marc; Vilaplana Besler, Verónica (2017)
Comunicació de congrés
Accés restringit per política de l'editorialThis 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
Casamitjana Díaz, Adrià; Petrone, Paula; Tucholka, Alan; Falcón, Carlos; Skouras, Stavros; Molinuevo, José Luis; Vilaplana Besler, Verónica; Gispert, Juan Domingo (IOS Press, 2018)
Article
Accés obertThe 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
Casamitjana Díaz, Adrià; Vilaplana Besler, Verónica; Puch Giner, Santi; Aduriz Saiz, Asier; Operto, Grégory; Cacciaglia, Raffaele; Falcón, Carlos; Molinuevo, José Luis; Gispert, Juan Domingo; López Molina, Carlos Alejandro (2020-03-25)
Article
Accés obertNeAT 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)
Casamitjana Díaz, Adrià (Universitat Politècnica de Catalunya. Biblioteca Rector Gabriel Ferraté, 2018-06-19)
Presentació
Accés obert -
Neuroimage analysis : application to dementia (and brain lesions)
Casamitjana Díaz, Adrià (Universitat Politècnica de Catalunya. Biblioteca Rector Gabriel Ferraté, 2018-06-19)
Audiovisual
Accés obert -
New insights on speech signal modeling in a Bayesian framework approach
Casamitjana Díaz, Adrià (Universitat Politècnica de Catalunya, 2015-05)
Projecte/Treball Final de Carrera
Accés obertSpeech 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
Petrone, Paula; Casamitjana Díaz, Adrià; Falcón, Carlos; Artigues, Miquel; Operto, Grégory; Cacciaglia, Raffaele; Molinuevo, José Luis; Vilaplana Besler, Verónica; Gispert, Juan Domingo (2019-08-17)
Article
Accés obertBackground 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)
Vilaplana Besler, Verónica; Casamitjana Díaz, Adrià (Universitat Politècnica de Catalunya, 2016-11-07)
Examen
Accés restringit a la comunitat UPC -
Projection to latent spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer's disease
Casamitjana Díaz, Adrià; Petrone, Paula; Molinuevo, Jose Luis; Gispert, Juan Domingo; Vilaplana Besler, Verónica (2020-07-28)
Article
Accés obertAlzheimer'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”,
Casamitjana Díaz, Adrià; Petrone, Paula; Artigues, Miquel; Molinuevo, Jose Luis; Gispert, Juan Domingo; Vilaplana Besler, Verónica (Elsevier, 2018)
Article
Accés obert -
Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease
Casamitjana Díaz, Adrià; Vilaplana Besler, Verónica; Petrone, Paula; Molinuevo, Jose Luis; Gispert, Juan Domingo (Springer International Publishing, 2018)
Comunicació de congrés
Accés restringit per política de l'editorialIn 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
Casamitjana Díaz, Adrià; Petrone, Paula; Molinuevo, José Luis; Gispert, Juan Domingo; Vilaplana Besler, Verónica (2019-08-01)
Article
Accés obertMagnetic 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
Kuijf, Hugo J.; Biesbroek, J. Matthijs; De Bresser, Jeroen; Casamitjana Díaz, Adrià; Vilaplana Besler, Verónica (2019-03)
Article
Accés obertQuantification 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, ...