These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
238 related articles for article (PubMed ID: 35954239)
1. ContransGAN: Convolutional Neural Network Coupling Global Swin-Transformer Network for High-Resolution Quantitative Phase Imaging with Unpaired Data. Ding H; Li F; Chen X; Ma J; Nie S; Ye R; Yuan C Cells; 2022 Aug; 11(15):. PubMed ID: 35954239 [TBL] [Abstract][Full Text] [Related]
2. Swin-HSTPS: Research on Target Detection Algorithms for Multi-Source High-Resolution Remote Sensing Images. Fang K; Ouyang J; Hu B Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884117 [TBL] [Abstract][Full Text] [Related]
3. Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images. Mela CA; Liu Y BMC Bioinformatics; 2021 Jun; 22(1):325. PubMed ID: 34130628 [TBL] [Abstract][Full Text] [Related]
4. A Transformer-Based Model for Super-Resolution of Anime Image. Xu S; Dutta V; He X; Matsumaru T Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365830 [TBL] [Abstract][Full Text] [Related]
5. Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data. Shah ZH; Müller M; Hübner W; Wang TC; Telman D; Huser T; Schenck W Gigascience; 2024 Jan; 13():. PubMed ID: 38217407 [TBL] [Abstract][Full Text] [Related]
6. An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network. Xu J; Chen ZX; Luo H; Lu ZM Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616639 [TBL] [Abstract][Full Text] [Related]
7. HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism. Qiao B; Xu B; Xie Y; Lin Y; Liu Y; Zuo X Comput Intell Neurosci; 2023; 2023():4725986. PubMed ID: 36909978 [TBL] [Abstract][Full Text] [Related]
8. A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. Fu M; Wang M; Wu Y; Zhang N; Yang Y; Wang H; Zhou Y; Shang Y; Wu FX; Zheng H; Liang D; Hu Z IEEE J Biomed Health Inform; 2023 Jun; 27(6):2864-2875. PubMed ID: 37030746 [TBL] [Abstract][Full Text] [Related]
9. A versatile Wavelet-Enhanced CNN-Transformer for improved fluorescence microscopy image restoration. Wang Q; Li Z; Zhang S; Chi N; Dai Q Neural Netw; 2024 Feb; 170():227-241. PubMed ID: 37992510 [TBL] [Abstract][Full Text] [Related]
10. Land Cover Classification of UAV Remote Sensing Based on Transformer-CNN Hybrid Architecture. Lu T; Wan L; Qi S; Gao M Sensors (Basel); 2023 Jun; 23(11):. PubMed ID: 37300015 [TBL] [Abstract][Full Text] [Related]
11. Small object detection algorithm incorporating swin transformer for tea buds. Shi M; Zheng D; Wu T; Zhang W; Fu R; Huang K PLoS One; 2024; 19(3):e0299902. PubMed ID: 38512917 [TBL] [Abstract][Full Text] [Related]
12. TransFusion-net for multifocus microscopic biomedical image fusion. Pei R; Yao K; Xu X; Zhang X; Yang X; Fu W; Zhang Y Comput Methods Programs Biomed; 2023 Oct; 240():107688. PubMed ID: 37487310 [TBL] [Abstract][Full Text] [Related]
13. Swin-MFA: A Multi-Modal Fusion Attention Network Based on Swin-Transformer for Low-Light Image Human Segmentation. Yi X; Zhang H; Wang Y; Guo S; Wu J; Fan C Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015990 [TBL] [Abstract][Full Text] [Related]
14. Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. Lu Z; Wang J; Li Z; Ying S; Wang J; Shi J; Shen D IEEE J Biomed Health Inform; 2023 Jul; 27(7):3337-3348. PubMed ID: 37126622 [TBL] [Abstract][Full Text] [Related]
15. Object Detection Based on Swin Deformable Transformer-BiPAFPN-YOLOX. Shi P; Chen X; Qi H; Zhang C; Liu Z Comput Intell Neurosci; 2023; 2023():4228610. PubMed ID: 36936669 [TBL] [Abstract][Full Text] [Related]
16. 3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision. Basak S; Corcoran P; McDonnell R; Schukat M Neural Netw; 2022 Dec; 156():108-122. PubMed ID: 36257068 [TBL] [Abstract][Full Text] [Related]
17. Face-based age estimation using improved Swin Transformer with attention-based convolution. Shi C; Zhao S; Zhang K; Wang Y; Liang L Front Neurosci; 2023; 17():1136934. PubMed ID: 37123378 [TBL] [Abstract][Full Text] [Related]
18. High-accuracy, direct aberration determination using self-attention-armed deep convolutional neural networks. Wang Y; Wang H; Li Y; Hu C; Yang H; Gu M J Microsc; 2022 Apr; 286(1):13-21. PubMed ID: 35043975 [TBL] [Abstract][Full Text] [Related]
19. Context-aware lightweight remote-sensing image super-resolution network. Peng G; Xie M; Fang L Front Neurorobot; 2023; 17():1220166. PubMed ID: 37425335 [TBL] [Abstract][Full Text] [Related]
20. Self-Supervised Lightweight Depth Estimation in Endoscopy Combining CNN and Transformer. Yang Z; Pan J; Dai J; Sun Z; Xiao Y IEEE Trans Med Imaging; 2024 May; 43(5):1934-1944. PubMed ID: 38198275 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]