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An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images.

, , , , , , , , and . CVPR Workshops, page 814-820. IEEE Computer Society, (2017)

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Face Recognition on Consumer Devices: Reflections on Replay Attacks., , and . IEEE Trans. Inf. Forensics Secur., 10 (4): 736-745 (2015)IBM NorthPole Neural Inference Machine., , , , , , , , , and 22 other author(s). HCS, page 1-58. IEEE, (2023)11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip., , , , , , , , , and 22 other author(s). ISSCC, page 214-215. IEEE, (2024)SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks., , , , , , , and . ICPR, page 2314-2319. IEEE Computer Society, (2018)Binary watermarks: a practical method to address face recognition replay attacks on consumer mobile devices., , and . ISBA, page 1-6. IEEE, (2015)Countering digital replay attacks for face verification on consumer smart devices using structured illumination. University of Queensland, Australia, (2016)DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence., , , , , , , , and . DICTA, page 1-7. IEEE, (2018)An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images., , , , , , , , and . CVPR Workshops, page 814-820. IEEE Computer Society, (2017)Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology., , , , , , , and . DICTA, page 1-8. IEEE, (2021)