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How separable median filters can get better results than full 2D versions., , and . J. Supercomput., 78 (7): 10118-10148 (2022)A Single-Pass and One-Round Message Authentication Encryption for Limited IoT Devices., , , and . IEEE Internet Things J., 9 (18): 17885-17900 (2022)A deep learning scheme for efficient multimedia IoT data compression., , , , and . Ad Hoc Networks, (2023)Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge., , , , , , , , , and 23 other author(s). Medical Image Anal., (2022)Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge., , , , , , , , , and 23 other author(s). CoRR, (2021)Efficient Lossy Compression for IoT Using SZ and Reconstruction with 1D U-Net., , , and . Mob. Networks Appl., 27 (3): 984-996 (2022)Characterization of a Driven Two-Level Quantum System by Supervised Learning., , , , and . Entropy, 25 (3): 446 (March 2023)Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI., , , , , , , , and . Comput. Medical Imaging Graph., (2022)TestU01 and Practrand: Tools for a randomness evaluation for famous multimedia ciphers., and . Multim. Tools Appl., 79 (33-34): 24075-24088 (2020)In-network data processing approach for heterogeneous wireless sensor networks., , , and . IWCMC, page 536-541. IEEE, (2022)