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Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays., , , , , , , , , и 2 other автор(ы). ISBI, стр. 863-867. IEEE, (2019)Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers., , , , и . ISBI, стр. 877-881. IEEE, (2019)Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities., , , , , , и . ISBI, стр. 799-803. IEEE, (2020)Visual Dialog for Radiology: Data Curation and FirstSteps., , , , , , , , , и 2 other автор(ы). ViGIL@NeurIPS, (2019)Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks., , , , и . CBMS, стр. 734-738. IEEE Computer Society, (2017)Quality controlled segmentation to aid disease detection., , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation., , , и . ISBI, стр. 1038-1042. IEEE, (2018)Universal multi-modal deep network for classification and segmentation of medical images., , , , и . ISBI, стр. 872-876. IEEE, (2018)Chest x-ray generation and data augmentation for cardiovascular abnormality classification., , , и . Medical Imaging: Image Processing, том 10574 из SPIE Proceedings, стр. 105741M. SPIE, (2018)Artificial intelligence for point of care radiograph quality assessment., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109503K. SPIE, (2019)