Results 121 to 130 of about 12,060,028 (242)
Multimodal image data have found widespread applications in visual-based building façade damage detection in recent years, offering comprehensive inspection of façade surfaces with the assistance of drones and infrared thermography.
Pujin Wang +4 more
doaj +1 more source
An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis. [PDF]
Yang H, Qian P, Fan C.
europepmc +1 more source
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng +20 more
wiley +1 more source
In TP53mut GBM cells, reduced P53 function is associated with increased TET1 expression. Genetic or pharmacological inhibition of TET1 correlates with genome fragility, including DNA damage, cellular senescence, telomere shortening, and reactive oxygen species accumulation, which may contribute to increased efficacy of antitumor therapy.
Zhuonan Pu +12 more
wiley +1 more source
SFIVReg: Style Filtering-Based Infrared-Visible Image Registration for UAV Systems
With the widespread application of multisensors in the field of unmanned aerial vehicles (UAVs) remote sensing, the registration of infrared-visible image has become a key step to enhance multimodal remote sensing perception capabilities.
Shuang Su +7 more
doaj +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study
Despite current advancement in the field of biomedical image processing, propelled by the deep learning revolution, multimodal image registration, due to its several challenges, is still often performed manually by specialists.
Lindblad, Joakim, +3 more
core
Multimodal Image Registration using Contrastive Image Representation
This thesis examines the relationship between the misalignment of training data and the registration performance of a multimodal image registration framework known as contrastive multimodal image representation learning (CoMIR).
Zhang, Chufeng
core +2 more sources
Deep learning-based optimization for accurate multimodal medical image registration
In recent years, there has been a growing need of incorporating more than one image registration methods in medical image processing. This has been because diagnosis and treatment planning made effective by these techniques. Our work focuses on a complex
Priyanka Chouksey +2 more
doaj +1 more source
Deformable registration is a critical technology in medical image analysis, playing an indispensable role in various unimodal and multimodal image alignment tasks.
Yupeng Shi +4 more
doaj +1 more source

