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Preface., , , , , , and . Gaze Meets ML, volume 210 of Proceedings of Machine Learning Research, page 1-2. PMLR, (2022)A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs., , , , , , , , , and 3 other author(s). ISBI, page 1851-1855. IEEE, (2020)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)Towards Visual Dialog for Radiology., , , , , , , , , and 2 other author(s). BioNLP, page 60-69. Association for Computational Linguistics, (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)Age prediction using a large chest x-ray dataset., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501U. SPIE, (2019)Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning., , , , , , , and . ISBI, page 1125-1129. IEEE, (2020)Classification of radiology reports by modality and anatomy: A comparative study., , and . BIBM, page 1457-1464. IEEE Computer Society, (2018)Chest ImaGenome Dataset for Clinical Reasoning., , , , , , , , , and 2 other author(s). NeurIPS Datasets and Benchmarks, (2021)Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection., , , , and . AMIA, AMIA, (2020)