Results 161 to 170 of about 75,390 (291)

TT4D: Tensor‐Train‐based 4D Time‐Dependent Volume Rendering

Computer Graphics Forum, EarlyView.
Abstract Visualizing large‐scale, time‐varying volumetric data using direct volume rendering remains a significant challenge in scientific visualization, particularly as data sizes and resolutions continue to increase. One promising direction for addressing this challenge is the use of tensor decompositions, which have proven to be a useful tool for ...
Clara Hartmann, Rafael Ballester‐Ripoll, Renato Pajarola   +2 more
wiley   +1 more source

ЗАСТОСУВАННЯ ЙМОВІРНІСНИХ КАРТ ГРАДІЄНТІВ ЯСКРАВОСТІ ЦИФРОВИХ ЗОБРАЖЕНЬ ДЛЯ КОРЕГУВАННЯ ПАРАМЕТРІВ СТЕГАНОГРАФІЧНОЇ ВСТАВКИ ДАНИХ

Кібербезпека: освіта, наука, техніка
В умовах прискорення темпів появи та розширення спектру нових кіберзагроз, стеганографія залишається важливим інструментом захисту чутливої інформації. На відміну від напряму криптографічного захисту, вона приховує сам факт передачі інформації у цифрових
Микита Гончаров, Сергій Малахов   +1 more
doaj   +1 more source

Physically Based Neural BRDF: A Framework for Physically Correct Material Reconstruction, Generation and Editing

Computer Graphics Forum, EarlyView.
We introduce the physically based neural BRDF, a novel continuous representation for material appearance based on neural fields. Our model accurately performs real‐world material reconstruction, generation and editing, while uniquely enhancing the physical accuracy of neural BRDFs via three key aspects: energy conservation, Helmholtz reciprocity and ...
C. Zhou, A. Sztrajman, G. Rainer, F. Zhong, F. Gokbudak, Z. Guo, W. Xia, R. K. Mantiuk, C. Oztireli   +8 more
wiley   +1 more source

Single Line Drawing Generation via Semantics‐Driven Optimization

Computer Graphics Forum, EarlyView.
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, Alexandre Binninger, Ruben Wiersma, Olga Sorkine‐Hornung   +3 more
wiley   +1 more source

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi, Sanyam Jain, Khuram Naveed, Sepanta Hosseinpour, Lise‐Lotte Kirkevang, Ali Nosrat, Ruben Pauwels   +6 more
wiley   +1 more source

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

Journal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah, Grammatiki Lioliou, Dai Chen, Alexander Denker, Peter Munro, Marco Endrizzi, Alberto Astolfo, Alessandro Olivo, Charlotte K. Hagen   +8 more
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

DeepRelaxo: Fast Mono‐Exponential Magnitude Brain R2* Mapping With Reduced Echoes Using Self‐Supervised Deep Learning

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1293-1302, September 2026.
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima, Zhuang Xiong, Alan H. Wilman, Hongfu Sun   +3 more
wiley   +1 more source

Time‐Conditioned Zero‐Shot Self‐Supervised Reconstruction for Accelerated 3D Ultra‐Low‐Field MRI

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1303-1312, September 2026.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI provides a cost‐effective, portable imaging option but has relatively low SNR and long acquisition times compared to standard clinical scans. This study presents a time‐conditioned zero‐shot self‐supervised learning image reconstruction framework (ULF‐ZS‐SSL) to accelerate 3D‐acquired single‐coil ULF MRI ...
Mart W. J. van Straten, Beatrice Lena, Chloé Najac, Ruben van den Broek, Peter Börnert, Andrew Webb, Yiming Dong   +6 more
wiley   +1 more source

Physics‐Guided Neural Network for Quantitative Parameter Mapping Using Balanced Steady State Free Precession MRI

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1313-1322, September 2026.
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1, T2,Meffc, ∆f and φRF ...
Hye‐Ryeong Choi, Huan Minh Luu, Sung‐Hong Park   +2 more
wiley   +1 more source