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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, ... -
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 ... -
Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry
(2020-01-13)
Article
Restricted access - publisher's policyThe development of remote fruit detection systems able to identify and 3D locate fruits provides opportunities to improve the efficiency of agriculture management. Most of the current fruit detection systems are based on ... -
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 ... -
Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities
(2019-07-01)
Article
Restricted access - publisher's policyFruit detection and localization will be essential for future agronomic management of fruit crops, with applications in yield prediction, yield mapping and automated harvesting. RGB-D cameras are promising sensors for fruit ... -
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
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 ... -
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 ...
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