Results 161 to 170 of about 28,509 (255)

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Deep manifold learning reveals hidden developmental dynamics of a human embryo model. [PDF]

Sci Adv
Chen K, Qin KR, Na J, Gao G, Yang C, Fu J.   +5 more
europepmc   +1 more source

Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data. [PDF]

BMC Bioinformatics, 2023
Wang Z, Zhou Y, Takagi T, Song J, Tian YS, Shibuya T.   +5 more
europepmc   +1 more source

A Brain‐Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior

Advanced Science, EarlyView.
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis, Stefan Stojilkovic, Kai‐Yi Wang, Cristina Márquez, Annabel C. Kleinwächter, Angel Baudon, Yuval Podpecan, Aurélia Ces, Mélanie Kremer, Isabelle Arnoux, Nathalie Rouach, Jemima Helen, Sophie Trender, Andreas Wallkum, Selina Wunsch, Franziska Schommer, Moritz C. Wimmer, Tim Schubert, Felix Franke, Jabir Aliyu Muhammad, Eva M. Eisemann, Ingrid Camila Possa‐Paranhos, Cassandra Baumann, Pierre‐Alexis Derrien, Quirin Krabichler, Cosmo Garcia, Henning Fröhlich, Matthew K. Kirchner, Valery Grinevich, Pascal Darbon, Javier E. Stern, Ferdinand Althammer, Alexandre Charlet   +32 more
wiley   +1 more source

Real-Time EEG Decoding of Motor Imagery via Nonlinear Dimensionality Reduction (Manifold Learning) and Shallow Classifiers. [PDF]

Biosensors (Basel)
Kucukselbes H, Sayilgan E.
europepmc   +1 more source

Mapping Phenotypic Plasticity upon the Cancer Cell State Landscape Using Manifold Learning. [PDF]

Cancer Discov, 2022
Burkhardt DB, San Juan BP, Lock JG, Krishnaswamy S, Chaffer CL.   +4 more
europepmc   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Connecting Vibrational Spectroscopy to Atomic Structure via Supervised Manifold Learning: Beyond Peak Analysis. [PDF]

Chem Mater, 2023
Vizoso D, Subhash G, Rajan K, Dingreville R.   +3 more
europepmc   +1 more source

Time‐Multiplexed Organic Electrochemical Transistor for Saliva‐Based Rapid Detection of Viral Proteins

Advanced Science, EarlyView.
A time‐multiplexed nanobody‐functionalized organic electrochemical transistor enables rapid and sensitive detection of three respiratory viral proteins from saliva. Sequentially addressed multi‐gate electrodes on a shared channel achieve around 1 fm detection within 15 min without sample preprocessing. Clinical validation demonstrates high specificity,
Tianrui Chang, Yuxiang Ren, Shofarul Wustoni, Atheer Alqatari, Adel Hama, Yazhou Wang, Long Chen, Jessica Parrado Agudelo, Luca Salvigni, Keying Guo, Ashraf Dada, Stefan T. Arold, Raik Grünberg, Sahika Inal   +13 more
wiley   +1 more source

TaGra: an open Python package for easily generating graphs from data tables through manifold learning. [PDF]

PeerJ Comput Sci
Torre D, Chicco D.
europepmc   +1 more source