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Fruit detection in an apple orchard using a mobile terrestrial laser scanner
(Elsevier, 2019-11-01)
Article
Restricted access - publisher's policyThe 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
(Elsevier, 2019-07-19)
Article
Open AccessThis 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
(2019-05-04)
Article
Restricted access - publisher's policyWe 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
(2019-02-27)
Article
Restricted access - publisher's policyAccurate 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
(2019-06)
Article
Open AccessEmpirical 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
(2019-03-08)
Article
Restricted access - publisher's policyThis 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
(Multidisciplinary Digital Publishing Institute (MDPI), 2019-04-15)
Article
Open AccessSemantic 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”,
(Elsevier, 2018)
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Characteristic brain volumetric changes in the AD preclinical signature
(Elsevier, 2018)
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Open Access -
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 ... -
Quantitative ultrasound texture analysis of fetal lungs to predict neonatal respiratory morbidity
(Wiley (John Wiley & Sons), 2015)
Article
Open AccessObjective 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
(2018-01-01)
Article
Restricted access - publisher's policyLong 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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