Joy T. Wu

According to our database1, Joy T. Wu authored at least 30 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

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
Chest ImaGenome Dataset for Clinical Reasoning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray.
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

Chest X-Ray Report Generation Through Fine-Grained Label Learning.
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

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs.
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

Towards Visual Dialog for Radiology.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

AI Accelerated Human-in-the-loop Structuring of Radiology Reports.
Proceedings of the AMIA 2020, 2020

Extracting and Learning Fine-grained Labels from Chest Radiographs.
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

Visual Dialog for Radiology: Data Curation and FirstSteps.
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

Identifying disease-free chest x-ray images with deep transfer learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Artificial intelligence for point of care radiograph quality assessment.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Age prediction using a large chest x-ray dataset.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 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
Behind the scenes: A medical natural language processing project.
Int. J. Medical Informatics, 2018

Classification of radiology reports by modality and anatomy: A comparative study.
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
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping.
CoRR, 2017


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