Results 101 to 110 of about 3,571 (234)
Protocol for the enhanced analysis of electrophysiological data from high-density multi-electrode arrays with nicespike and spikeNburst. [PDF]
Wolff R +4 more
europepmc +1 more source
Multimodal medical image fusion in NSST domain with structural and spectral features enhancement. [PDF]
Khan SU +5 more
europepmc +1 more source
Authoring Terrestrial Planets with Diffusion Models
Abstract To support the design and subsequent generation of terrestrial planets for use in the creative media, we propose a solution that employs a generative model trained on satellite data from planetary bodies with a defined solid surface, such as the Earth and Mars.
Oliver Borg +6 more
wiley +1 more source
3D-MOF-Lattice Inspired Programmable Metamaterials Based on Reconfigurable Polyhedral Origami. [PDF]
Kang X +5 more
europepmc +1 more source
Dynamic Wave Trains: A Procedural Approach to Spatially Varying Ocean Synthesis
In this paper, we present a high performance procedural model capable of synthesizing and rendering a virtually infinite ocean. Our method exhibits spatial variations as the orientations, speed and choppiness of the waves is parametrized for each frequencies and each point in space. The provided visual abstract exhibits a sunset rendering of a large 40
Romain Fournier +4 more
wiley +1 more source
Digital slide scanning at scale: Comparison of whole slide imaging devices in a clinical setting. [PDF]
Ardon O +5 more
europepmc +1 more source
Single Line Drawing Generation via Semantics‐Driven Optimization
We present a method for automatically generating single‐line drawings in vector format, guided by a text prompt or an input image. Our approach leverages score distillation sampling to optimize the parameters of a uniform rational B‐spline (URBS) curve, ensuring that the drawing consists of a single continuous stroke by design.
Tanguy Magne +3 more
wiley +1 more source
Multi-texture synthesis through signal responsive neural cellular automata. [PDF]
Catrina MM, Plajer IC, Băicoianu A.
europepmc +1 more source
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley +1 more source

