Results 11 to 20 of about 12,417,327 (306)

In-stent restenosis in acute coronary syndrome—a classic and a machine learning approach

Frontiers in Cardiovascular Medicine, 2023
BackgroundIn acute coronary syndrome (ACS), a number of previous studies tried to identify the risk factors that are most likely to influence the rate of in-stent restenosis (ISR), but the contribution of these factors to ISR is not clearly defined. Thus,
Alexandru Scafa-Udriște, Alexandru Scafa-Udriște, Lucian Itu, Lucian Itu, Andrei Puiu, Andrei Puiu, Andreea Stoian, Andreea Stoian, Horatiu Moldovan, Horatiu Moldovan, Nicoleta-Monica Popa-Fotea, Nicoleta-Monica Popa-Fotea   +11 more
doaj   +1 more source

Image Fusion Transformer

2022 IEEE International Conference on Image Processing (ICIP), 2022
Accepted at ICIP ...
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel   +3 more
openaire   +4 more sources

Image fusion methods in high-speed railway scenes: A survey

High-Speed Railway, 2023
Image fusion refers to extracting meaningful information from images of different sources or modalities, and then fusing them to generate more informative images that are beneficial for subsequent applications.
Yuqiao Zeng, Xu Wang, Hongwei Zhao, Yi Jin, George A. Giannopoulos, Yidong Li   +5 more
doaj   +1 more source

Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study

BMC Oral Health, 2022
Background Ensuring high accuracy in multimodal image fusion for oral and maxillofacial tumors is crucial before further application. The aim of this study was to explore the factors influencing the accuracy of multimodal image fusion for oral and ...
Lei-Hao Hu, Wen-Bo Zhang, Yao Yu, Zhi-Peng Sun, Guang-Yan Yu, Xin Peng   +5 more
doaj   +1 more source

A Non-Conventional Review on Multi-Modality-Based Medical Image Fusion

Diagnostics, 2023
Today, medical images play a crucial role in obtaining relevant medical information for clinical purposes. However, the quality of medical images must be analyzed and improved.
Manoj Diwakar, Prabhishek Singh, Vinayakumar Ravi, Ankur Maurya   +3 more
doaj   +1 more source

Image fusion for dynamic contrast enhanced magnetic resonance imaging [PDF]

, 2004
Twellmann T, Saalbach A, Gerstung O, Leach MO, Nattkemper TW. Image fusion for dynamic contrast enhanced magnetic resonance imaging. Biomed Eng Online. 2004;3(1): 35.BACKGROUND: Multivariate imaging techniques such as dynamic contrast-enhanced magnetic ...
Nattkemper, Tim Wilhelm ; https://orcid.org/, Nattkemper Tim W, Saalbach, A, Olaf Gerstung, Gerstung, O., Leach, M.O., Twellmann Thorsten, Twellmann, Thorsten, Nattkemper, TW, Axel Saalbach, Tim W Nattkemper, Leach, Martin O, Gerstung Olaf, Twellmann, T Thorsten, Thorsten Twellmann, Gerstung, Olaf, Saalbach Axel, Saalbach, Axel, Leach Martin O, Gerstung, O, Nattkemper, T.W., Martin O Leach, Saalbach, A., Twellmann, T.   +23 more
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Multi-resolution, multi-sensor image fusion: general fusion framework [PDF]

, 2011
Multi-resolution image fusion also known as pansharpening aims to include spatial information from a high resolution image, e.g. panchromatic or Synthetic Aperture Radar (SAR) image, into a low resolution image, e.g.
Palubinskas, Gintautas, Gintautas Palubinskas, Reinartz, Peter, Peter Reinartz   +3 more
core   +1 more source

Real-Time Semantics-Driven Infrared and Visible Image Fusion Network

Sensors, 2023
This paper proposes a real-time semantics-driven infrared and visible image fusion framework (RSDFusion). A novel semantics-driven image fusion strategy is introduced in image fusion to maximize the retention of significant information of the source ...
Binhao Zheng, Tieming Xiang, Minghuang Lin, Silin Cheng, Pengquan Zhang   +4 more
doaj   +1 more source

Statistical image fusion with generalised Gaussian and Alpha-Stable distributions [PDF]

, 2007
This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images.
Loza, AT, Achim, AM, Canagarajah, CN, Bull, DR   +3 more
core   +1 more source

A Novel Multi-Modality Image Simultaneous Denoising and Fusion Method Based on Sparse Representation

Computers, 2021
Multi-modality image fusion applied to improve image quality has drawn great attention from researchers in recent years. However, noise is actually generated in images captured by different types of imaging sensors, which can seriously affect the ...
Guanqiu Qi, Gang Hu, Neal Mazur, Huahua Liang, Matthew Haner   +4 more
doaj   +1 more source