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Chest X-ray Inpainting with Deep Generative Models., , , and . CoRR, (2018)Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system., , , , , , , , , and 3 other author(s). CoRR, (2019)Chest X-Rays Image Inpainting with Context Encoders., , , and . CoRR, (2018)Reflectance and Texture of Real-World Surfaces., , , and . ACM Trans. Graph., 18 (1): 1-34 (1999)Deep Learning in Image Diagnostics: Recent Results and Outlook.. ICPRAM, page 5. SciTePress, (2019)Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI., , , , , , , , , and 1 other author(s). CoRR, (2020)Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study., , , , , , , and . CoRR, (2020)Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis., , , , , , , , , and . IEEE Trans. Medical Imaging, 34 (12): 2429-2442 (2015)Deep learning for chest X-ray analysis: A survey, , , , and . Medical Image Analysis, (August 2021)CNN-based lung CT registration with multiple anatomical constraints., , , , , and . Medical Image Anal., (2021)