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Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection.

, , , , and . AMIA, AMIA, (2020)

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A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs., , , , , , , , , and 3 other author(s). ISBI, page 1851-1855. IEEE, (2020)Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets., , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 644-653. Springer, (2020)Towards Visual Dialog for Radiology., , , , , , , , , and 2 other author(s). BioNLP, page 60-69. Association for Computational Linguistics, (2020)Preface., , , , , , and . Gaze Meets ML, volume 210 of Proceedings of Machine Learning Research, page 1-2. PMLR, (2022)A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients., , , , , , , , , and . LREC, page 1362-1367. European Language Resources Association, (2020)Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development., , , , , , , , , and 1 other author(s). CoRR, (2020)AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray., , , , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 804-813. Springer, (2021)Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays., , , , , , , , , and 2 other author(s). ISBI, page 863-867. IEEE, (2019)Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers., , , , and . ISBI, page 877-881. IEEE, (2019)Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities., , , , , , and . ISBI, page 799-803. IEEE, (2020)