Recent Submissions

  • Fruit detection in an apple orchard using a mobile terrestrial laser scanner 

    Gené-Mola, Jordi; Gregorio, Eduard; Guevara, Javier; Auat, Fernando; Sanz-Cortiella, Ricardo; Escolà, Alexandre; Llorens, Jordi; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Vilaplana Besler, Verónica; Rosell-Polo, Joan R. (Elsevier, 2019-11-01)
    Article
    Restricted access - publisher's policy
    The development of reliable fruit detection and localization systems provides an opportunity to improve the crop value and management by limiting fruit spoilage and optimised harvesting practices. Most proposed systems for ...
  • KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data 

    Gené Mola, Jordi; Vilaplana Besler, Verónica; Rosell Polo, Joan Ramon; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Gregorio, Eduard (Elsevier, 2019-07-19)
    Article
    Open Access
    This article contains data related to the research article entitle “Multi-modal Deep Learning for Fruit Detection Using RGB-D Cameras and their Radiometric Capabilities” [1]. The development of reliable fruit detection and ...
  • Multiresolution co-clustering for uncalibrated multiview segmentation 

    Ventura, Carles; Varas, David; Vilaplana Besler, Verónica; Giró Nieto, Xavier; Marqués Acosta, Fernando (2019-05-04)
    Article
    Restricted access - publisher's policy
    We propose a technique for coherently co-clustering uncalibrated views of a scene with a contour-based representation. Our work extends the previous framework, an iterative algorithm for segmenting sequences with small ...
  • 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
    Restricted access - publisher's policy
    Accurate 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 ...
  • Measuring traffic lane-changing by converting video into space–time still images 

    Sala Sanmartí, Marcel; Soriguera Martí, Francesc; Huillca, Kevin; Vilaplana Besler, Verónica (2019-06)
    Article
    Open Access
    Empirical data is needed in order to extend our knowledge of traffic behavior. Video recordings are used to enrich typical data from loop detectors. In this context, data extraction from videos becomes a challenging task. ...
  • Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks 

    Pujol Miró, Alba; Casas Pla, Josep Ramon; Ruiz Hidalgo, Javier (2019-03-08)
    Article
    Restricted access - publisher's policy
    This document presents a novel method based in Convolutional Neural Networks (CNN) to obtain correspondence matchings between sets of keypoints of several unorganized 3D point cloud captures, independently of the sensor ...
  • Depth estimation and semantic segmentation from a single RGB image using a hybrid convolutional neural network 

    Lin, Xiao; Sánchez Escobedo, Dalila; Casas Pla, Josep Ramon; Pardàs Feliu, Montse (Multidisciplinary Digital Publishing Institute (MDPI), 2019-04-15)
    Article
    Open Access
    Semantic segmentation and depth estimation are two important tasks in computer vision, and many methods have been developed to tackle them. Commonly these two tasks are addressed independently, but recently the idea of ...
  • 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
    Open Access
  • 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
    Open Access
  • 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
    Open Access
    The 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 ...
  • Quantitative ultrasound texture analysis of fetal lungs to predict neonatal respiratory morbidity 

    Bonet-Carne, Elisenda; Palacio, M.; Cobo, T.; Perez-Moreno, A.; Lopez, M.; Piraquive, J.P.; Ramirez, J.C.; Botet, F.; Marqués Acosta, Fernando; Gratacos, E. (Wiley (John Wiley & Sons), 2015)
    Article
    Open Access
    Objective To develop and evaluate the performance of a novel method for predicting neonatal respiratory morbidity based on quantitative analysis of the fetal lung by ultrasound. Methods More than 13¿000 non-clinical ...
  • Differential expression of long non-coding RNAs are related to proliferation and histological diversity in follicular lymphomas 

    Roisman, Alejandro; Castellano, Giancarlo; Navarro López, Alba; Bellot, Pau; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert (2018-01-01)
    Article
    Restricted access - publisher's policy
    Long non-coding RNAs (lncRNAs) comprise a family of non-coding transcripts that are emerging as relevant gene expression regulators of different processes, including tumour development. To determine the possible contribution ...

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