Results 31 to 40 of about 277 (92)

TopoMetry systematically learns and evaluates the latent geometry of single-cell data. [PDF]

Elife
Sidarta-Oliveira D, Domingos AI, Velloso LA.   +2 more
europepmc   +1 more source

RMETNet: A cross-subject motor imagery EEG signal classification model based on TSLANet and riemannian geometry features. [PDF]

PLoS One
Zhao Y, He D, Ren F, Xia Q, Xu L, Xie G, Zhang X, Yang R, Zou S, Jiang B.   +9 more
europepmc   +1 more source

Local transcriptional covariation produces accurate estimates of cell phenotype. [PDF]

Bioinformatics
Ozbay S, Parekh A, Singh R.
europepmc   +1 more source

Shape modeling of longitudinal medical images: from diffeomorphic metric mapping to deep learning. [PDF]

Front Artif Intell
Tay E, Tümer N, Zadpoor AA.
europepmc   +1 more source

Geometry and convergence of natural policy gradient methods. [PDF]

Inf Geom, 2023
Müller J, Montúfar G.
europepmc   +1 more source

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. [PDF]

Electron J Stat
Buenfil J, Lila E.
europepmc   +1 more source

RiTex: Harmonization of Radiomic Features Based on Riemannian Geometry. [PDF]

J Imaging
Voitenko DA, Vladzymyrskyy AV, Omelyanskaya OV, Vasilev YA, Blokhin IA, Kodenko MR.   +5 more
europepmc   +1 more source

Hyperbolic Prototype-Residual Autoencoder for Interpretable Generative Latent Organization. [PDF]

Sensors (Basel)
Lee H, Kwak J.
europepmc   +1 more source

Class-balanced dermoscopic lesion segmentation using MoG-LISA and optimized Swin-UNet via the GM-FDE framework. [PDF]

iScience
Muthamil Selvan S, Kavitha R.
europepmc   +1 more source

Comparing Geodesic Filtering to State-of-the-Art Algorithms: A Comprehensive Study and CUDA Implementation. [PDF]

J Imaging
Boulanger P, Bin Hasan S.
europepmc   +1 more source