NSTL国家科技图书文献中心

1. LFDT-Fusion: A latent feature-guided diffusion Transformer model for general image fusion NSTL国家科技图书文献中心

Yang, Bo | Jiang, Zhaohui ... - 《Information Fusion》 - 2025,113 - 共22页

摘要：For image fusion* tasks, it is inefficient for* | feature-guided diffusion model for general image fusion | network consists of a denoising network and a fusion | yielded superior fusion* performance across six image* | fusion tasks. The proposed method illustrates

关键词： General image fusion | Latent diffusion model | Transformer model

2. Signal Fusion Method for Networked Radar Motivated by Data Fusion NSTL国家科技图书文献中心

Zhang, Zhenghe | Zhu, Jiahao ... - 《IEEE sensors journal》 - 2025,25(1) - 951～961 - 共11页

摘要： probability of target detection via signal fusion. However | signal fusion* imposes a significant communication* | burden. In this article, a signal fusion* target* | fusion is proposed. The track information transmitted | by node radars is processed through data fusion

关键词： Radar | Radar detection | Data integration | Radar cross-sections | Radar tracking | Sensors | Target tracking | Transceivers | Radar signal processing | Object detection...

3. SMDFnet: Saliency multiscale dense fusion network for MRI and CT image fusion NSTL国家科技图书文献中心

Fu J. | Ouyang A.... - 《Computers in Biology and Medicine》 - 2025,185 - Article 109577～Article 109577 - 共12页

摘要：© 2024 Elsevier LtdMRI-CT image fusion | comprehensive and accurate image information. This fusion | issues with current MRI-CT image fusion, such as the | during the fusion* process. The current fusion strategy* | a saliency multi-scale dense fusion* network for*

关键词： Fusion strategy | Image fusion | Pretrained features | Saliency multiscale dense fusion network

4. Ceramic substitutes, failure to achieve solid fusion in posterolateral instrumented fusion: a surgical and histological evaluation NSTL国家科技图书文献中心

Plais, Nicolas | Jimenez-Herrero, Enr...... - 《European spine journal》 - 2025,34(1) - 156～162 - 共7页

摘要： effectiveness of ceramics in promoting solid fusion. Few | topic, we assessed bony fusion* both intraoperatively* | , patients exhibited apparent radiological fusion* in the* | months. Bone fusion* was assessed intraoperatively, and* | microscope.ResultsSurgical exploration of the fusion* block at the*

关键词： Lumbar spinal fusion | Bone fusion | Bone substitutes | Ceramics | Osteoconductive | Posterolateral fusion

5. MMIF-INet: Multimodal medical image fusion by invertible network NSTL国家科技图书文献中心

He, Dan | Li, Weisheng ... - 《Information Fusion》 - 2025,114 - 共15页

摘要：Multimodal medical image fusion* (MMIF* | feature extraction and fusion, and rarely explore how to | problems, this paper proposes a novel invertible fusion | (IB) facilitates preliminary feature fusion | accommodate fusion* tasks, a multiscale fusion module is*

关键词： Invertible neural network | Wavelet transform | Multiscale fusion | Multimodal medical image fusion

6. Multi-modal Fusion Based Q-Distribution Prediction for Controlled Nuclear Fusion NSTL国家科技图书文献中心

Shiao Wang | Yifeng Wang ... - 《Advances in Brain Inspired Cognitive Systems,Part I》 - International Conference on Advances in Brain Inspired Cognitive Systems - 2025, - 115～125 - 共11页

摘要： research direction in controlled nuclear fusion, with | fusion methods in computer vision, integrating 2D line | interactive fusion* of bimodal information. Extensive* | Q-distribution prediction is a crucial | deep learning emerging as a key approach to solving

关键词： Q-distribution prediction | Multi-modal fusion | Controlled nuclear fusion

7. Americans' Views of Fusion Energy: Implications for Sustainable Public Support NSTL国家科技图书文献中心

Kuhika Gupta | Hank Jenkins-Smith ... - 《Fusion science and technology》 - 2025,81(1) - 1～17 - 共17页

摘要： fusion energy hold promise for sustainable clean energy | sustainable public support for fusion. We demonstrate that | while fusion* is broadly viewed in a generally positive* | currently associated with fusion* energy technologies tends* | fusion energy facilities is currently quite high and is

关键词： Fusion energy | nuclear energy | public acceptance | public trust | risk perceptions

8. Differential Diagnosis of Thyroid Tumors Through Information Fusion from Multiphoton Microscopy Images Using Fusion Autoencoder NSTL国家科技图书文献中心

Harshith Reddy Kethi... | A. Tejaswee ... - 《Pattern Recognition,Part XIII》 - International Conference on Pattern Recognition - 2025, - 80～93 - 共14页

摘要： fusion from different types of MPM images. We introduce | a novel fusion* autoencoder (FAE) for this task* | Thyroid carcinomas are often diagnosed by | histopathology, which is widely regarded as the most reliable | method. However, alternative imaging modalities may

关键词： Multiphoton microscopy images | Information fusion | Fusion autoencoder | Thyroid tumor

9. A three-dimensional feature-based fusion strategy for infrared and visible image fusion NSTL国家科技图书文献中心

Liu, Xiaowen | Huo, Hongtao ... - 《Pattern Recognition》 - 2025,157 - 共15页

摘要： essential characteristics, the existing fusion* methods* | novel infrared and visible image fusion* network based* | on threedimensional feature fusion* strategy (D3Fuse* | feature to extend the feature space for fusion* tasks* | construct the fusion* image. Moreover, to ensure the*

关键词： Image fusion | Contrastive learning | Convolution neural network

10. A Novel Multi-scale Feature Fusion Based Network for Hyperspectral and Multispectral Image Fusion NSTL国家科技图书文献中心

Shuai Dong | Shaoguang Huang ... - 《Pattern Recognition and Computer Vision,Part XIII》 - Chinese Conference on Pattern Recognition and Computer Vision - 2025, - 530～544 - 共15页

摘要：Fusion of low-resolution hyperspectral image | -resolution. Deep leraning based fusion* methods have* | novel multi-scale feature fusion* based network (MSFNet* | feature fusion* block. In the former block, we fully* | of HSI at different scales. In the fusion* stage, we*

摘要：For image fusion* tasks, it is inefficient for* | feature-guided diffusion model for general image fusion | network consists of a denoising network and a fusion | yielded superior fusion* performance across six image* | fusion tasks. The proposed method illustrates

关键词： General image fusion | Latent diffusion model | Transformer model

摘要： probability of target detection via signal fusion. However | signal fusion* imposes a significant communication* | burden. In this article, a signal fusion* target* | fusion is proposed. The track information transmitted | by node radars is processed through data fusion

关键词： Radar | Radar detection | Data integration | Radar cross-sections | Radar tracking | Sensors | Target tracking | Transceivers | Radar signal processing | Object detection...

摘要：© 2024 Elsevier LtdMRI-CT image fusion | comprehensive and accurate image information. This fusion | issues with current MRI-CT image fusion, such as the | during the fusion* process. The current fusion strategy* | a saliency multi-scale dense fusion* network for*

关键词： Fusion strategy | Image fusion | Pretrained features | Saliency multiscale dense fusion network

关键词： Lumbar spinal fusion | Bone fusion | Bone substitutes | Ceramics | Osteoconductive | Posterolateral fusion

摘要：Multimodal medical image fusion* (MMIF* | feature extraction and fusion, and rarely explore how to | problems, this paper proposes a novel invertible fusion | (IB) facilitates preliminary feature fusion | accommodate fusion* tasks, a multiscale fusion module is*

关键词： Invertible neural network | Wavelet transform | Multiscale fusion | Multimodal medical image fusion

摘要： research direction in controlled nuclear fusion, with | fusion methods in computer vision, integrating 2D line | interactive fusion* of bimodal information. Extensive* | Q-distribution prediction is a crucial | deep learning emerging as a key approach to solving

关键词： Q-distribution prediction | Multi-modal fusion | Controlled nuclear fusion

关键词： Fusion energy | nuclear energy | public acceptance | public trust | risk perceptions

摘要： fusion from different types of MPM images. We introduce | a novel fusion* autoencoder (FAE) for this task* | Thyroid carcinomas are often diagnosed by | histopathology, which is widely regarded as the most reliable | method. However, alternative imaging modalities may

关键词： Multiphoton microscopy images | Information fusion | Fusion autoencoder | Thyroid tumor

摘要： essential characteristics, the existing fusion* methods* | novel infrared and visible image fusion* network based* | on threedimensional feature fusion* strategy (D3Fuse* | feature to extend the feature space for fusion* tasks* | construct the fusion* image. Moreover, to ensure the*

关键词： Image fusion | Contrastive learning | Convolution neural network

摘要：Fusion of low-resolution hyperspectral image | -resolution. Deep leraning based fusion* methods have* | novel multi-scale feature fusion* based network (MSFNet* | feature fusion* block. In the former block, we fully* | of HSI at different scales. In the fusion* stage, we*

关键词： Hyperspectral | Remote sensing | Multispectral | Deep learning | Fusion

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：For image fusion tasks, it is inefficient for | feature-guided diffusion model for general image fusion | network consists of a denoising network and a fusion | yielded superior fusion performance across six image | fusion tasks. The proposed method illustrates

关键词： General image fusion | Latent diffusion model | Transformer model

摘要： probability of target detection via signal fusion. However | signal fusion imposes a significant communication | burden. In this article, a signal fusion target | fusion is proposed. The track information transmitted | by node radars is processed through data fusion

关键词： Radar | Radar detection | Data integration | Radar cross-sections | Radar tracking | Sensors | Target tracking | Transceivers | Radar signal processing | Object detection...

摘要：© 2024 Elsevier LtdMRI-CT image fusion | comprehensive and accurate image information. This fusion | issues with current MRI-CT image fusion, such as the | during the fusion process. The current fusion strategy | a saliency multi-scale dense fusion network for

关键词： Fusion strategy | Image fusion | Pretrained features | Saliency multiscale dense fusion network

关键词： Lumbar spinal fusion | Bone fusion | Bone substitutes | Ceramics | Osteoconductive | Posterolateral fusion

摘要：Multimodal medical image fusion (MMIF | feature extraction and fusion, and rarely explore how to | problems, this paper proposes a novel invertible fusion | (IB) facilitates preliminary feature fusion | accommodate fusion tasks, a multiscale fusion module is

关键词： Invertible neural network | Wavelet transform | Multiscale fusion | Multimodal medical image fusion

摘要： research direction in controlled nuclear fusion, with | fusion methods in computer vision, integrating 2D line | interactive fusion of bimodal information. Extensive | Q-distribution prediction is a crucial | deep learning emerging as a key approach to solving

关键词： Q-distribution prediction | Multi-modal fusion | Controlled nuclear fusion

关键词： Fusion energy | nuclear energy | public acceptance | public trust | risk perceptions

摘要： fusion from different types of MPM images. We introduce | a novel fusion autoencoder (FAE) for this task | Thyroid carcinomas are often diagnosed by | histopathology, which is widely regarded as the most reliable | method. However, alternative imaging modalities may

关键词： Multiphoton microscopy images | Information fusion | Fusion autoencoder | Thyroid tumor

摘要： essential characteristics, the existing fusion methods | novel infrared and visible image fusion network based | on threedimensional feature fusion strategy (D3Fuse | feature to extend the feature space for fusion tasks | construct the fusion image. Moreover, to ensure the

关键词： Image fusion | Contrastive learning | Convolution neural network

摘要：Fusion of low-resolution hyperspectral image | -resolution. Deep leraning based fusion methods have | novel multi-scale feature fusion based network (MSFNet | feature fusion block. In the former block, we fully | of HSI at different scales. In the fusion stage, we

关键词： Hyperspectral | Remote sensing | Multispectral | Deep learning | Fusion

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：For image fusion* tasks, it is inefficient for* | feature-guided diffusion model for general image fusion | network consists of a denoising network and a fusion | yielded superior fusion* performance across six image* | fusion tasks. The proposed method illustrates

摘要： probability of target detection via signal fusion. However | signal fusion* imposes a significant communication* | burden. In this article, a signal fusion* target* | fusion is proposed. The track information transmitted | by node radars is processed through data fusion

摘要：© 2024 Elsevier LtdMRI-CT image fusion | comprehensive and accurate image information. This fusion | issues with current MRI-CT image fusion, such as the | during the fusion* process. The current fusion strategy* | a saliency multi-scale dense fusion* network for*

摘要：Multimodal medical image fusion* (MMIF* | feature extraction and fusion, and rarely explore how to | problems, this paper proposes a novel invertible fusion | (IB) facilitates preliminary feature fusion | accommodate fusion* tasks, a multiscale fusion module is*

摘要： research direction in controlled nuclear fusion, with | fusion methods in computer vision, integrating 2D line | interactive fusion* of bimodal information. Extensive* | Q-distribution prediction is a crucial | deep learning emerging as a key approach to solving

摘要： fusion from different types of MPM images. We introduce | a novel fusion* autoencoder (FAE) for this task* | Thyroid carcinomas are often diagnosed by | histopathology, which is widely regarded as the most reliable | method. However, alternative imaging modalities may

摘要： essential characteristics, the existing fusion* methods* | novel infrared and visible image fusion* network based* | on threedimensional feature fusion* strategy (D3Fuse* | feature to extend the feature space for fusion* tasks* | construct the fusion* image. Moreover, to ensure the*

摘要：Fusion of low-resolution hyperspectral image | -resolution. Deep leraning based fusion* methods have* | novel multi-scale feature fusion* based network (MSFNet* | feature fusion* block. In the former block, we fully* | of HSI at different scales. In the fusion* stage, we*