Computing Rate-Distortion Functions of Continuous Memoryless Sources via Discrete Algorithms: An Integrated Scheme with Convergence Guarantee and Algorithmic Acceleration. [PDF]
Chen L +5 more
europepmc +1 more source
Efficient Deconvolution in Populational Inverse Problems
ABSTRACT This work is focused on the inversion task of inferring the distribution over parameters of interest, leading to multiple sets of observations. The potential to solve such distributional inversion problems is driven by the increasing availability of data, but a major roadblock is blind deconvolution, arising when the observational noise ...
Arnaud Vadeboncoeur +2 more
wiley +1 more source
LONMF: a non-negative matrix factorization model based on graph Laplacian and optimal transmission for paired single-cell multi-omics data integration. [PDF]
Nan M +6 more
europepmc +1 more source
Abstract Introduction Accurate segmentation and classification of cervical spine fractures are essential for timely diagnosis and clinical decision‐making in trauma care. Existing deep learning approaches often require extensive manual annotations and struggle to maintain anatomical consistency across vertebral levels, limiting their reliability and ...
Qing Liang +7 more
wiley +1 more source
Evaluating the robustness of slide-level AI predictions on out-of-focus whole slide images: A retrospective observational study. [PDF]
Kim HH, Ko YS, Jeong WC, Yun S, Kim K.
europepmc +1 more source
Abstract INTRODUCTION Alzheimer's disease (AD) is a heterogeneous disease with diverse disease progression trajectories and brain pathology. Identifying AD subtypes is essential for understanding AD etiology, heterogeneity, and developing precise treatment. METHODS We applied a subspace‐merging algorithm to integrate multi‐omics data from brain tissues
Ziyan Song +5 more
wiley +1 more source
Adaptive dynamic hypergraph learning for ingredient aware food recommendation. [PDF]
Alkhrijah Y +3 more
europepmc +1 more source
Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley +1 more source
A spectral dimension reduction technique that improves pattern detection in multivariate spatial data. [PDF]
Köhler D +9 more
europepmc +1 more source
Clinical Applications of Electrical Conductivity Imaging Using MRI
ABSTRACT Magnetic resonance imaging (MRI) has emerged as a noninvasive technique for probing the electrical properties of biological tissues: electrical conductivity and relative permittivity. This review focuses on the electrical conductivity and provides a comprehensive overview of applications across both low‐ and high‐frequency regimes.
Stefano Mandija +14 more
wiley +1 more source

