Results 61 to 70 of about 1,041,889 (332)

A unified model for Duchenne muscular dystrophy gene involvement in cancer: context‐dependent tumour suppression and oncogenicity

FEBS Open Bio, EarlyView.
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado, Leanne Jones, Sonika Divakar, Michael Naidoo, Karen Anthony   +4 more
wiley   +1 more source

Denoising and Inpainting for Point Clouds Compressed by V-PCC

IEEE Access, 2021
With the development of immersive video, the quality of compressed 3D content has become an important issue. Video-based Point Cloud Compression (V-PCC) is a popular compression method for point cloud sequences; it achieves the highest quality among MPEG
Keming Cao, Pamela Cosman
doaj   +1 more source

Point Cloud Framework for Rendering 3D Models Using Google Tango [PDF]

, 2017
This project seeks to demonstrate the feasibility of point cloud meshing for capturing and modeling three dimensional objects on consumer smart phones and tablets.
Callin, Julian, Chung, Maxen
core   +1 more source

Automatic normal orientation in point clouds of building interiors

, 2019
Orienting surface normals correctly and consistently is a fundamental problem in geometry processing. Applications such as visualization, feature detection, and geometry reconstruction often rely on the availability of correctly oriented normals.
J Wang, K Takayama, N Schertler, P Mullen, R Schnabel, SG Parker   +5 more
core   +1 more source

Longitudinal Study of Salivary Biomarkers in the Definition of Clinico‐Molecular Progression of Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
Longitudinal changes in salivary biomarkers in Parkinson’s disease (PD) from early (T0) to 4‐year follow‐up (T1), quantified by ELISA: oligomeric and total α‐synuclein, total and phosphorylated tau, MAP1LC3B (autophagy), and TNFa (inflammation). Blue arrows indicate direction of change at T1 vs T0 (up = increase; down = decrease).
Maria Ilenia De Bartolo, Daniele Belvisi, Matteo Costanzo, Claudia Caturano, Francesco Emanuele Bellomi, Carolina Cutrona, Flavia Aiello, Giorgio Leodori, Massimo Marano, Romina Mancinelli, Antonella Conte, Giovanni Fabbrini, Alfredo Berardelli, Giorgio Vivacqua   +13 more
wiley   +1 more source

Survey of 3D Point Clouds Upsampling Methods [PDF]

Jisuanji kexue
With the popularity of three-dimensional(3D) scanning devices such as depth cameras and laser radars,the methods of representing 3D data using point clouds are becoming increasingly popular.The analysis and processing of point cloud data are also ...
HAN Bing, DENG Lixiang, ZHENG Yi, REN Shuang
doaj   +1 more source

Generalized Convolutional Neural Networks for Point Cloud Data

, 2017
The introduction of cheap RGB-D cameras, stereo cameras, and LIDAR devices has given the computer vision community 3D information that conventional RGB cameras cannot provide. This data is often stored as a point cloud.
Davis, Andrew, Savchenkov, Aleksandr, Zhao, Xuan   +2 more
core   +1 more source

SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas, Pablo Iruzubieta, Alberto Damborenea, Laura Pérez‐Fernández, Inmaculada Azorín, Juan Carlos Jiménez García, Ana Töpf, Pilar Martí, Lorena Fores‐Toribio, María Manterola, Rosana Blanco‐Mañez, Oihane Pikatza‐Menoio, Sonia Alonso‐Martín, Volker Straub, Aitziber L. Cortajarena, Adolfo López de Munain, David De Sancho, Lorea Blázquez, Juan J. Vilchez   +18 more
wiley   +1 more source

CORRECTION AND DENSIFICATION OF UAS-BASED PHOTOGRAMMETRIC THERMAL POINT CLOUD [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Photogrammetric processing algorithms can suffer problems due to either the initial image quality (noise, low radiometric quality, shadows and so on) or to certain surface materials (shiny or textureless objects).
O. Akcay, R. C. Erenoglu, O. Erenoglu
doaj   +1 more source

Surface Representation for Point Clouds

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Most prior work represents the shapes of point clouds by coordinates. However, it is insufficient to describe the local geometry directly. In this paper, we present \textbf{RepSurf} (representative surfaces), a novel representation of point clouds to \textbf{explicitly} depict the very local structure.
Ran, Haoxi, Liu, Jun, Wang, Chengjie
openaire   +2 more sources