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Journal Abstract Search
257 related items for PubMed ID: 36236517
1. Hint-Based Image Colorization Based on Hierarchical Vision Transformer. Lee S, Jung YJ. Sensors (Basel); 2022 Sep 29; 22(19):. PubMed ID: 36236517 [Abstract] [Full Text] [Related]
2. Deep Color Transfer for Color-Plus-Mono Dual Cameras. Jang HW, Jung YJ. Sensors (Basel); 2020 May 11; 20(9):. PubMed ID: 32403436 [Abstract] [Full Text] [Related]
3. 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 21; 23(1):. PubMed ID: 36616639 [Abstract] [Full Text] [Related]
4. Fully automatic image colorization based on semantic segmentation technology. Xu M, Ding Y. PLoS One; 2021 Dec 21; 16(11):e0259953. PubMed ID: 34847177 [Abstract] [Full Text] [Related]
5. Spatially Consistent Transformer for Colorization in Monochrome-Color Dual-Lens System. Dong X, Liu C, Hu X, Xu K, Li W. IEEE Trans Image Process; 2022 Dec 21; 31():6747-6760. PubMed ID: 36282820 [Abstract] [Full Text] [Related]
6. GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. Treneska S, Zdravevski E, Pires IM, Lameski P, Gievska S. Sensors (Basel); 2022 Feb 18; 22(4):. PubMed ID: 35214498 [Abstract] [Full Text] [Related]
7. RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers. Ibrahem H, Salem A, Kang HS. Sensors (Basel); 2022 May 19; 22(10):. PubMed ID: 35632271 [Abstract] [Full Text] [Related]
8. Colorization-based compression using optimization. Lee S, Park SW, Oh P, Kang MG. IEEE Trans Image Process; 2013 Jul 19; 22(7):2627-36. PubMed ID: 23529096 [Abstract] [Full Text] [Related]
9. A Colorization Framework for Monochrome-Color Dual-Lens Systems Using a Deep Convolutional Network. Dong X, Li W, Hu X, Wang X, Wang Y. IEEE Trans Vis Comput Graph; 2022 Mar 19; 28(3):1469-1485. PubMed ID: 32897862 [Abstract] [Full Text] [Related]
10. CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising. Wang D, Fan F, Wu Z, Liu R, Wang F, Yu H. Phys Med Biol; 2023 Mar 15; 68(6):. PubMed ID: 36854190 [Abstract] [Full Text] [Related]
11. MMNet: A Mixing Module Network for Polyp Segmentation. Ghimire R, Lee SW. Sensors (Basel); 2023 Aug 18; 23(16):. PubMed ID: 37631792 [Abstract] [Full Text] [Related]
12. UAT: Universal Attention Transformer for Video Captioning. Im H, Choi YS. Sensors (Basel); 2022 Jun 25; 22(13):. PubMed ID: 35808316 [Abstract] [Full Text] [Related]
13. A novel hybrid transformer-CNN architecture for environmental microorganism classification. Shao R, Bi XJ, Chen Z. PLoS One; 2022 Jun 25; 17(11):e0277557. PubMed ID: 36367879 [Abstract] [Full Text] [Related]
14. Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. Wang H, Zhai D, Liu X, Jiang J, Gao W. IEEE Trans Image Process; 2023 Jun 25; 32():4114-4127. PubMed ID: 37440402 [Abstract] [Full Text] [Related]
15. SVCNet: Scribble-Based Video Colorization Network With Temporal Aggregation. Zhao Y, Po LM, Liu K, Wang X, Yu WY, Xian P, Zhang Y, Liu M. IEEE Trans Image Process; 2023 Jun 25; 32():4443-4458. PubMed ID: 37527316 [Abstract] [Full Text] [Related]
16. Vision Transformer-based recognition of diabetic retinopathy grade. Wu J, Hu R, Xiao Z, Chen J, Liu J. Med Phys; 2021 Dec 25; 48(12):7850-7863. PubMed ID: 34693536 [Abstract] [Full Text] [Related]
17. Generalized image outpainting with U-transformer. Gao P, Yang X, Zhang R, Goulermas JY, Geng Y, Yan Y, Huang K. Neural Netw; 2023 May 25; 162():1-10. PubMed ID: 36878166 [Abstract] [Full Text] [Related]
18. Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising. Jang SI, Pan T, Li Y, Heidari P, Chen J, Li Q, Gong K. IEEE Trans Med Imaging; 2024 Jun 25; 43(6):2036-2049. PubMed ID: 37995174 [Abstract] [Full Text] [Related]
20. Fully transformer network for skin lesion analysis. He X, Tan EL, Bi H, Zhang X, Zhao S, Lei B. Med Image Anal; 2022 Apr 25; 77():102357. PubMed ID: 35121468 [Abstract] [Full Text] [Related] Page: [Next] [New Search]