Results 211 to 220 of about 149,463 (272)

Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis

Advanced Intelligent Systems, EarlyView.
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino, Giusy Giugliano, Daniele Pirone, Fabrizio Licitra, Fulvia Vitale, Pasquale Memmolo, Lisa Miccio, Massimo D’Agostino, Pietro Ferraro, Vittorio Bianco   +9 more
wiley   +1 more source

LI-AGCN: A Lightweight Initialization-Enhanced Adaptive Graph Convolutional Network for Effective Skeleton-Based Action Recognition. [PDF]

Sensors (Basel)
Xie Q, Deng H.
europepmc   +1 more source

Correction: SpaMWGDA: Identifying spatial domains of spatial transcriptomes using multi-view weighted fusion graph convolutional network and data augmentation. [PDF]

PLoS Comput Biol
Yuan L, Meng B, Wang Q, Hu C, Wang C, Huang DS.   +5 more
europepmc   +1 more source

Low-carbon supply chain logistics risk prediction using meta-learning-based graph convolutional network on prototype space. [PDF]

Sci Rep
Wang Y, Sun Y.
europepmc   +1 more source

Correction to: DriverOmicsNet: an integrated graph convolutional network for multi-omics exploration of cancer driver genes. [PDF]

Brief Bioinform
europepmc   +1 more source

Spatio-Temporal Heterogeneity-Oriented Graph Convolutional Network for Urban Traffic Flow Prediction. [PDF]

Sensors (Basel)
Li X, He M, Qin D, Zhou T, Jiang N.
europepmc   +1 more source

Application of improved graph convolutional network for cortical surface parcellation. [PDF]

Sci Rep
Tan J, Ren X, Chen Y, Yuan X, Chang F, Yang R, Ma C, Chen X, Tian M, Chen W, Wang Z.   +10 more
europepmc   +1 more source

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis

Arthritis &Rheumatology, Accepted Article.
Objective Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis (RA). Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are limited by the requirement of time and experienced staff as well as intra‐ and inter‐rater variability ...
Thomas Deimel, Paul J. Weiser, Martin Urschler, Christian Payer, Peter Mandl, Georg Langs, Daniel Aletaha   +6 more
wiley   +1 more source

Smart comprehend gesture based emotions recognition system for people with hearing disability utilizing spatio temporal graph convolutional network techniques. [PDF]

Sci Rep
Alshahrani R, Alharbi AAK.
europepmc   +1 more source