Results 41 to 50 of about 1,027,441 (167)

Evaluating the Perceptual Space of Surface Noise for Visualization

Computer Graphics Forum, EarlyView.
Abstract Surface noise provides a geometric alternative to color for encoding scalar information on surfaces, yet its perceptual characteristics remain insufficiently understood. We present a systematic investigation of how variations in noise amplitude and frequency are perceived when applied to 3D surfaces. Across three online perceptual studies with
A. Sterzik, N. Merk, K. Lawonn
wiley   +1 more source

3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy

Journal of Microscopy, EarlyView.
Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf, Pleun Engbers, Justine Perrin, Julie Nonnekens, Ihor Smal   +4 more
wiley   +1 more source

A method for generating stochastic 3D tree models with Python in Autodesk Maya

Journal of Graphic Engineering and Design, 2016
This paper introduces a method for generating 3D tree models using stochastic L-systems with stochastic parameters and Perlin noise. L-system is the most popular method for plant modeling and Perlin noise is extensively used for generating high detailed ...
Nemanja Stojanović
doaj  

A Comparative Study of IVIM‐MRI Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches

Journal of Magnetic Resonance Imaging, Volume 64, Issue 1, Page 184-200, July 2026.
ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp, Andras Jakab, Christian Federau, Peter T. While   +3 more
wiley   +1 more source

Cardiac remodelling in type 2 diabetes: Pathophysiological mechanisms and opportunities for multiscale computational modelling and simulation

The Journal of Physiology, Volume 604, Issue 13, Page 5170-5199, 1 July 2026.
Abstract figure legend Overview of multiscale cardiac remodelling in type 2 diabetes and how to model and simulate these changes using a human‐based, multiscale computational framework. Cardiac remodelling in type 2 diabetes occurs at ionic channel, protein, cellular, tissue and whole‐organ level, affecting the electrophysiological function, mechanical
Ambre Bertrand, Jakub Tomek, Blanca Rodriguez   +2 more
wiley   +1 more source

A Topology Optimization Framework for the Inverse Design of Nonlinear Mechanical Metamaterials

Advanced Engineering Materials, Volume 28, Issue 9, 6 May 2026.
This work uses topology optimization to design unit cells for mechanical metamaterials with a prescribed nonlinear stress–strain response. The framework adds contact and postbuckling modeling to synthesize microstructures for three highly nonlinear responses, including pseudoductile behavior, monostable with snap‐through buckling, and bistable ...
Charlie Aveline, Matthew Santer, Robert Hewson   +2 more
wiley   +1 more source

A method for improving the robustness of neural network model for aerial image matching

Радіоелектронні і комп'ютерні системи
Neural network–based image matching techniques are increasingly employed in aerial image analysis—particularly for UAV navigation, localization, and mapping. However, their sensitivity to structured visual distortions (e.g., shadows, illumination changes,
Viacheslav Moskalenko, Alona Moskalenko, Yuriy Moskalenko   +2 more
doaj   +1 more source

Multi-Modal Inference in Animacy Perception for Artificial Object

i-Perception, 2011
Sometimes we feel animacy for artificial objects and their motion. Animals usually interact with environments through multiple sensory modalities.
Kohske Takahashi, Katsumi Watanabe
doaj   +1 more source

Improving textural realism in breast phantom images

Medical Physics, Volume 53, Issue 5, May 2026.
Abstract Background Breast phantom images can lack textural realism, limiting their utility for imaging research. Achieving realism across all BI‐RADS breast densities is essential for representative, unbiased datasets. Purpose This study validated simplex noise for improving realism and density fidelity in simulated mammary parenchyma across BI‐RADS ...
Luana de M. Omena, Guilherme M. de Oliveira, Thaís G. do Rêgo, Yuri de A. M. Barbosa, Joao P. V. Teixeira, Telmo M. Silva Filho, Bruno Barufaldi   +6 more
wiley   +1 more source

DeepOT: A Deep Learning Framework for Pixel‐Level Ground Surface Displacement Estimation From SAR Amplitude Imagery

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Monitoring ground surface displacement is critical for understanding geophysical processes and mitigating natural hazards, yet conventional Synthetic Aperture Radar (SAR) techniques are often limited by decorrelation, complex terrain, and heterogeneous motion.
Jinwoo Kim, Hying‐Sup Jung, Zhong Lu
wiley   +1 more source