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Correlation Between Quality Evaluation Metrics and Teeth Detection Results in Panoramic X-Rays Using Deep Learning., , , , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 684-688. IOS Press, (2021)SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images., , and . Remote. Sens., 14 (22): 5862 (2022)A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery., , , and . Remote. Sens., 13 (22): 4547 (2021)A Particle Identification in the CONNIE Experiment using Deep Learning Approach., , , , , and . CLEI, page 1-8. IEEE, (2023)Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks., , and . Remote. Sens., 13 (24): 5007 (2021)Short-Term Electricity Demand Forecasting: Evaluating the Effectiveness of Statistical, Machine Learning, and Deep Learning Models., , , , and . CLEI, page 1-10. IEEE, (2023)Comparative study of upsampling methods for super-resolution in remote sensing., , and . ICMV, volume 11433 of SPIE Proceedings, page 114331J. SPIE, (2019)Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks., , and . Remote. Sens., 12 (15): 2424 (2020)Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging., , and . ICASSP, page 2273-2277. IEEE, (2020)