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Interleaved text/image Deep Mining on a large-scale radiology database.

, , , , , and . CVPR, page 1090-1099. IEEE Computer Society, (2015)

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Discrete Object Generation with Reversible Inductive Construction., , , , and . NeurIPS, page 10353-10363. (2019)Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation., , , , , , , and . IEEE Trans. Med. Imaging, 35 (5): 1170-1181 (2016)Interleaved text/image Deep Mining on a large-scale radiology database., , , , , and . CVPR, page 1090-1099. IEEE Computer Society, (2015)A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations., , , , , , , , and . MICCAI (1), volume 8673 of Lecture Notes in Computer Science, page 520-527. Springer, (2014)Anatomy-specific classification of medical images using deep convolutional nets., , , , , , , and . CoRR, (2015)Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation., , , , , and . CoRR, (2015)Continual Learning in Generative Adversarial Nets., , , and . CoRR, (2017)Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection., , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 53-61. Springer, (2015)Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection., , , , , , and . J. Digital Imaging, 29 (4): 406-419 (2016)DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving., , , and . CoRR, (2015)