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SAR despeckling based on soft classification., , , and . IGARSS, page 2378-2381. IEEE, (2015)Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis., , , , , , and . Neurocomputing, (2018)Combining PRNU and noiseprint for robust and efficient device source identification., , , , and . EURASIP J. Inf. Secur., (2020)SAR Image Despeckling by Soft Classification., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (6): 2118-2130 (2016)Cell image classification by a scale and rotation invariant dense local descriptor., , and . Pattern Recognit. Lett., (2016)Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques., , and . ICIP, page 5302-5306. IEEE, (2014)The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks., , , , , , , , , and . ICB, page 513-518. IEEE, (2015)A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets., , , and . IEEE J. Biomed. Health Informatics, 23 (1): 437-448 (2019)Iris liveness detection for mobile devices based on local descriptors., , and . Pattern Recognit. Lett., (2015)A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection., , , and . CoRR, (2019)