Joy T. Wu
According to our database1,
Joy T. Wu
authored at least 30 papers
between 2017 and 2023.
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Bibliography
2023
Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session.
Proceedings of the Gaze Meets Machine Learning Workshop, 2023
2022
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020
Proceedings of the AMIA 2020, 2020
Proceedings of the AMIA 2020, 2020
Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection.
Proceedings of the AMIA 2020, 2020
2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR, 2019
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Identifying documented medical non-adherence from clinical notes using natural language processing.
Proceedings of the AMIA 2019, 2019
2018
Int. J. Medical Informatics, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records.
Proceedings of the AMIA 2018, 2018
2017