Judy Gichoya
Orcid: 0000-0002-1097-316X
According to our database1,
Judy Gichoya
authored at least 73 papers
between 2012 and 2024.
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Bibliography
2024
Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review.
Int. J. Medical Informatics, February, 2024
Efficient adversarial debiasing with concept activation vector - Medical image case-studies.
J. Biomed. Informatics, January, 2024
2023
Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study.
Int. J. Medical Informatics, October, 2023
Computer, September, 2023
IEEE J. Biomed. Health Informatics, August, 2023
Computer, August, 2023
Using Deep Learning to Predict Treatment Response in Patients with Hepatocellular Carcinoma Treated with Y90 Radiation Segmentectomy.
J. Digit. Imaging, June, 2023
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study.
J. Digit. Imaging, February, 2023
Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) - an end-to-end model for characterizing severity and diagnosis.
CoRR, 2023
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors.
CoRR, 2023
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research.
CoRR, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models.
CoRR, 2023
Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations.
CoRR, 2023
Proceedings of the Tenth International Conference on Software Defined Systems, 2023
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Evaluating user acceptance of an open-source mobile app for hospital price transparency rule.
Proceedings of the 31st European Conference on Information Systems, 2023
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023
A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation.
J. Digit. Imaging, 2022
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
J. Am. Medical Informatics Assoc., 2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies.
CoRR, 2022
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data.
CoRR, 2022
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets.
CoRR, 2022
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms.
CoRR, 2022
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification.
CoRR, 2022
Towards an internet-scale overlay network for latency-aware decentralized workflows at the edge.
Comput. Networks, 2022
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma.
J. Biomed. Semant., 2022
Proceedings of the Ninth International Conference on Software Defined Systems, 2022
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the AMIA 2022, 2022
2021
npj Digit. Medicine, 2021
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images.
J. Digit. Imaging, 2021
J. Biomed. Informatics, 2021
CoRR, 2021
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals.
CoRR, 2021
Using Machine Learning Approaches to Identify Exercise Activities from a Triple-Synchronous Biomedical Sensor.
Proceedings of the Intelligent Systems Design and Applications, 2021
Proceedings of the Distributed Computing and Artificial Intelligence, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
J. Digit. Imaging, 2020
Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs.
CoRR, 2020
A Modern Non-SQL Approach to Radiology-Centric Search Engine Design with Clinical Validation.
CoRR, 2020
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications.
CoRR, 2020
Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care.
CoRR, 2020
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS.
CoRR, 2020
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes.
CoRR, 2020
Blood Glucose Level Prediction as Time-Series Modeling using Sequence-to-Sequence Neural Networks.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
2019
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks.
CoRR, 2019
Evaluating the Implementation of Deep Learning in LibreHealth Radiology on Chest X-Rays.
Proceedings of the Advances in Computer Vision, 2019
Full Training versus Fine Tuning for Radiology Images Concept Detection Task for the ImageCLEF 2019 Challenge.
Proceedings of the Working Notes of CLEF 2019, 2019
2018
Creation and Curation of the Society of Imaging Informatics in Medicine Hackathon Dataset.
J. Digit. Imaging, 2018
A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System.
J. Digit. Imaging, 2018
2017
Proving Value in Radiology: Experience Developing and Implementing a Shareable Open Source Registry Platform Driven by Radiology Workflow.
J. Digit. Imaging, 2017
Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data.
J. Biomed. Informatics, 2017
Comparative Performance Analysis of Different Fingerprint Biometric Scanners for Patient Matching.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Proceedings of the Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection.
J. Biomed. Informatics, 2016
The OpenMRS Community's Experience: A Decade of Developing and Implementing Medical Record Systems Within Constraint.
Proceedings of the AMIA 2016, 2016
2013
Information Architecture Considerations in Designing a Comprehensive Tuberculosis Enterprise System in Western Kenya.
Proceedings of the MEDINFO 2013, 2013
2012
An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System.
Proceedings of the AMIA 2012, 2012