Results 101 to 110 of about 15,597 (201)
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 +6 more
wiley +1 more source
Journal of Microscopy, EarlyView.Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran +7 more
wiley +1 more source
Mean-Curvature-Regularized Deep Image Prior with Soft Attention for Image Denoising and Deblurring
MathematicsSparsity-driven regularization has undergone significant development in single-image restoration, particularly with the transition from handcrafted priors to trainable deep architectures.
Muhammad Israr +3 more
doaj +1 more source
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 +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 +4 more
wiley +1 more source
International Journal for Research in Applied Science and Engineering Technology, 2020 openaire +1 more source
Tropical Medicine &International Health, EarlyView.ABSTRACT Background and Objectives Mosquitoes of the genus Aedes, including but not limited to Aedes aegypti, are major vectors of arboviruses such as dengue, Zika and other related diseases. Their global expansion is driven by climate change, globalisation, urbanisation and human mobility.
Ana Izabel Passarella Teixeira +8 more
wiley +1 more source
A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes
The Journal of Physiology, EarlyView.Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner +6 more
wiley +1 more source
Acta Electrotechnica et InformaticaWe explore the use of radiance fields (RFs) to reconstruct photorealistic 3D urban scenes, creating digital twins (DTs) for autonomous driving (AD) by leveraging Nerfacto and Splatfacto models integrated with the CARLA simulator.
Dopiriak Matúš +2 more
doaj +1 more source
SMART: Speedy Measurement of Arabidopsis Rosette Traits
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu +5 more
wiley +1 more source