Results 51 to 60 of about 5,548,528 (274)

3D Point Cloud Completion Method Based on Building Contour Constraint Diffusion Probability Model

Applied Sciences, 2023
Building point cloud completion is the process of reconstructing missing parts of a building’s point cloud, which have been affected by external factors during data collection, to restore the original geometric shape of the building.
Bo Ye, Han Wang, Jingwen Li, Jianwu Jiang, Yanling Lu, Ertao Gao, Tao Yue   +6 more
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

3D-PCGR: Colored Point Cloud Generation and Reconstruction with Surface and Scale Constraints

Remote Sensing
In the field of 3D point cloud data, the 3D representation of objects is often affected by factors such as lighting, occlusion, and noise, leading to issues of information loss and incompleteness in the collected point cloud data.
Chaofeng Yuan, Jinghui Pan, Zhaoxiang Zhang, Min Qi, Yuelei Xu   +4 more
doaj   +1 more source

Adenosine triphosphate as a modulator of protein interactions and stability

FEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

High-fidelity point cloud completion with low-resolution recovery and noise-aware upsampling

Graphical Models, 2023
Completing an unordered partial point cloud is a challenging task. Existing approaches that rely on decoding a latent feature to recover the complete shape, often lead to the completed point cloud being over-smoothing, losing details, and noisy.
Ren-Wu Li, Bo Wang, Lin Gao, Ling-Xiao Zhang, Chun-Peng Li   +4 more
doaj   +1 more source

Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky, Melissa Lopez, Janet Miller, Millenia Jimenez, Eric M. Liotta, Igor J. Koralnik   +5 more
wiley   +1 more source

Multi-Scale Point Cloud Completion Networks Incorporating Attention Mechanisms [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Point cloud completion, a critical task in 3D vision, aims to repair incomplete point cloud data caused by sensor limitations or environmental occlusions, thereby providing complete 3D structural information for downstream applications.
C. Zhou, M. Li, M. Li, J. Chai, L. Xu, J. Zhang, D. Wei   +6 more
doaj   +1 more source

Disease Course After Anti‐CD20 Discontinuation in Secondary Progressive Multiple Sclerosis—A Multicenter Long‐Term Longitudinal Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto, Dariia Kliushnikova, Richard Friedrich Radlberger, Sinan Yasaroglu, Tobias Moser, Andrea Harrer, Kitty Kratzer, Wolfgang Hitzl, Christiane Gradl, Martin Schmidauer, Patrick Roth, Harald Hegen, Peter Wipfler   +12 more
wiley   +1 more source

Point Cloud Completion Guided by Prior Knowledge via Causal Inference [PDF]

, 2023
Point cloud completion aims to recover raw point clouds captured by scanners from partial observations caused by occlusion and limited view angles. This makes it hard to recover details because the global feature is unlikely to capture the full details ...
Gao, Songxue, Nie, Weizhi, Jiao, Chuanqi, Chen, Ruidong, Wang, Weijie   +4 more
core   +1 more source

SoftPool++: An Encoder–Decoder Network for Point Cloud Completion

International Journal of Computer Vision, 2022
AbstractWe propose a novel convolutional operator for the task of point cloud completion. One striking characteristic of our approach is that, conversely to related work it does not require any max-pooling or voxelization operation. Instead, the proposed operator used to learn the point cloud embedding in the encoder extracts permutation-invariant ...
Yida Wang 0001, David Joseph Tan, Nassir Navab, Federico Tombari   +3 more
openaire   +4 more sources