J. Gichoya

发表

Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets

John L. Burns, S. Purkayastha, A. Bhimireddy, 2022, ArXiv.

Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction for COVID-19 Patients

L. Celi, H. Trivedi, D. Rubin, 2021, medRxiv.

Write Code, Save Lives: How a Community Uses Open Innovation to Address a Societal Challenge

M. Bogers, J. Gichoya, J. Sims, 2018, R&D Management.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Nabile M. Safdar, Carol C Wu, J. Jaremko, 2019, Journal of the American College of Radiology : JACR.

Association of pancreatic fat content with type II diabetes mellitus.

J. Gichoya, C. Menias, E. Cui, 2019, Clinical radiology.

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images

Saptarshi Purkayastha, Ashish Sharma, Nabile Safdar, 2020, Journal of Digital Imaging.

Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model

Renato F Caron, R. Barzilay, C. Lehman, 2021, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Providers' Access of Imaging Versus Only Reports: A System Log File Analysis.

J. Vest, J. Gichoya, Hyeyoung Jung, 2017, Journal of the American College of Radiology : JACR.

Performance of intensive care unit severity scoring systems across different ethnicities

L. Celi, D. Stone, J. Gichoya, 2021, medRxiv.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

Nabile M. Safdar, Carol C Wu, J. Jaremko, 2019, Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes.

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals

Genevieve B. Melton, Erich Kummerfeld, Le Peng, 2021, medRxiv.

Patient-specific COVID-19 resource utilization prediction using fusion AI model

L. Celi, H. Trivedi, S. Purkayastha, 2021, npj Digital Medicine.

An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research

L. Celi, J. Gichoya, J. Teo, 2021, medRxiv.

On Meaningful Human Control in High-Stakes Machine-Human Partnerships

Dallas Card, David Madras, J. Burkell, 2019 .

A Fusion NLP Model for the Inference of Standardized Thyroid Nodule Malignancy Scores from Radiology Report Text.

D. Rubin, J. Gichoya, I. Banerjee, 2021, AMIA ... Annual Symposium proceedings. AMIA Symposium.

The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions.

Charles E. Kahn, Matthew D. Li, D. Daye, 2022, Academic radiology.

Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice.

Nabile M. Safdar, H. Trivedi, Elizabeth A. Krupinski, 2022, Radiology. Artificial intelligence.

Performance of intensive care unit severity scoring systems across different ethnicities

David J. Stone, L. Celi, J. Gichoya, 2020, medRxiv.

Prophylactic IVC filter placement in patients with severe intracranial, spinal cord, and orthopedic injuries at high thromboembolic event risk: A utilization and outcomes analysis of the National Trauma Data Bank.

J. Gichoya, Scott J. Lee, B. Majdalany, 2022, Clinical imaging.

Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data

H. Trivedi, J. Gichoya, I. Banerjee, 2022, ArXiv.

Implementing clinical practice guidelines for chronic obstructive pulmonary disease in an EHR system

S. Purkayastha, J. Gichoya, Marisa Walker, 2017, 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT).

AI recognition of patient race in medical imaging: a modelling study

John L. Burns, Brandon J Price, M. Ghassemi, 2022, The Lancet. Digital health.

Uterine Artery Embolization for Secondary Postpartum Hemorrhage.

J. Gichoya, K. Garcia-Reyes, J. Newsome, 2021, Techniques in vascular and interventional radiology.

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

John L. Burns, G. Melton, T. Magoc, 2022, J. Am. Medical Informatics Assoc..

Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics

C.-C. Jay Kuo, J. Gichoya, Jiali Duan, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Association between patient race/ethnicity and invasive ventilation in hypoxemic respiratory failure

L. Celi, C. Yarnell, J. Gichoya, 2022, medRxiv.

Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies

L. Celi, H. Trivedi, Po-Chih Kuo, 2022, ArXiv.

Fostering an inclusive workplace for LGBTQIA+ people in radiology and radiation oncology

J. Gichoya, J. Newsome, Lauren Oakden-Rayner, 2022, Journal of medical imaging and radiation oncology.

Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation

H. Trivedi, J. Gichoya, I. Banerjee, 2022, Journal of Digital Imaging.

Bias and Non-Diversity of Big Data in Artificial Intelligence: Focus on Retinal Diseases

Paolo S. Silva, L. Celi, L. Aiello, 2023, Seminars in ophthalmology.

Automatic Classification of Cancer Pathology Reports: A Systematic Review

H. Trivedi, J. Gichoya, I. Banerjee, 2022, Journal of pathology informatics.

Optimizing risk-based breast cancer screening policies with reinforcement learning

R. Barzilay, C. Lehman, H. Trivedi, 2021, Nature Medicine.

Managing Postembolization Syndrome–Related Pain after Uterine Fibroid Embolization

J. Gichoya, K. Garcia-Reyes, B. Majdalany, 2021, Seminars in Interventional Radiology.

Conversion of JPG Image into DICOM Image Format with One Click Tagging

Saptarshi Purkayastha, Judy Gichoya, Olakunle Oladiran, 2017, HCI.

Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study

David J. Stone, L. Celi, D. Stone, 2021, The Lancet. Digital health.

OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System

H. Trivedi, S. Purkayastha, J. Gichoya, 2022, ICMR.

How Might AI and Chest Imaging Help Unravel COVID-19’s Mysteries?

Charles E Kahn, Hesham Elhalawani, Judy W Gichoya, 2020, Radiology. Artificial intelligence.

Patient-specific COVID-19 resource utilization prediction using fusion AI model

L. Celi, H. Trivedi, S. Purkayastha, 2021, npj Digital Medicine.

AI recognition of patient race in medical imaging: a modelling study pdf

Saptarshi Purkayastha, Marzyeh Ghassemi, Leo Anthony Celi, 2021, The Lancet. Digital health.

SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms

H. Trivedi, I. Pan, W. C. O'Neill, 2021, medRxiv.

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images.

H. Trivedi, M. Newell, A. Bhimireddy, 2023, Radiology. Artificial intelligence.

Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

Elmar Kotter, Steve G. Langer, Tessa S. Cook, 2019, Insights into Imaging.

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

Saptarshi Purkayastha, Imon Banerjee, Elizabeth Krupinski, 2020, Journal of the American College of Radiology : JACR.

A general-purpose AI assistant embedded in an open-source radiology information system

Joshua A. Danish, Elizabeth A. Krupinski, S. Purkayastha, 2023, AIME.

Challenges of Implementing Artificial Intelligence in Interventional Radiology.

S. Mazaheri, J. Gichoya, J. Newsome, 2021, Seminars in interventional radiology.

A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System

Saptarshi Purkayastha, Judy W. Gichoya, Marc D. Kohli, 2018, Journal of Digital Imaging.

The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings.

Nabile M. Safdar, E. Krupinski, H. Trivedi, 2020, Radiology. Artificial intelligence.

Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.

W. Galanter, J. Horowitz, J. Gichoya, 2022, Journal of the American College of Radiology : JACR.

Proving Value in Radiology: Experience Developing and Implementing a Shareable Open Source Registry Platform Driven by Radiology Workflow

Matthew Johnson, Marc D. Kohli, Judy Wawira Gichoya, 2017, Journal of Digital Imaging.

Using Deep Learning to Predict Treatment Response in Patients with Hepatocellular Carcinoma Treated with Y90 Radiation Segmentectomy

J. Gichoya, N. Kokabi, A. Villalobos, 2023, Journal of Digital Imaging.

MedShift: identifying shift data for medical dataset curation pdf

Saptarshi Purkayastha, Imon Banerjee, Judy Wawira Gichoya, 2021, ArXiv.

Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data

Shaun J. Grannis, Yuni Xia, Brian E. Dixon, 2017, J. Biomed. Informatics.

Towards an internet-scale overlay network for latency-aware decentralized workflows at the edge

Luís Veiga, Pradeeban Kathiravelu, Judy Gichoya, 2021, Comput. Networks.

Ethics of large language models in medicine and medical research.

L. Celi, H. Trivedi, S. Purkayastha, 2023, The Lancet. Digital health.

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms

H. Trivedi, M. Newell, A. Bhimireddy, 2022, ArXiv.

Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning.

M. Ghassemi, H. Trivedi, J. Gichoya, 2022, Radiology. Artificial intelligence.

Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the AJR Special Series on DEI.

J. Gichoya, J. Yee, Melissa A. Davis, 2023, AJR. American journal of roentgenology.

An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System

Daniel J. Vreeman, Shaun J. Grannis, Brian E. Dixon, 2012, AMIA.

Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients

L. Celi, D. Rubin, H. Trivedi, 2023, Journal of medical imaging.

Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma

P. Balthazar, S. J. Lee, D. Rubin, 2020, medRxiv.

Common Data Elements and Modular Reporting

Tarik K. Alkasab, M. Kohli, J. Gichoya, 2022, Structured Reporting in Radiology.

Using cognitive fit theory to evaluate patient understanding of medical images

Saptarshi Purkayastha, Judy Wawira Gichoya, Mohammad Alarifi, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Natural Language Processing Model for Identifying Critical Findings—A Multi-Institutional Study

S. Mazaheri, J. Gichoya, I. Banerjee, 2022, Journal of Digital Imaging.

Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports.

Elizabeth A. Krupinski, J. Gichoya, I. Banerjee, 2023, Clinical imaging.

From Seeing to Knowing with Artificial Intelligence: A Scoping Review of Point-of-Care Ultrasound in Low-Resource Settings

S. Purkayastha, J. Gichoya, Nethra Venkatayogi, 2023, Applied Sciences.

CVAD: A generic medical anomaly detector based on Cascade VAE pdf

Saptarshi Purkayastha, Imon Banerjee, Judy Wawira Gichoya, 2021, ArXiv.

The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.

Marta Heilbrun, Valeria Makeeva, Judy Gichoya, 2019, Journal of the American College of Radiology : JACR.

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images

Saptarshi Purkayastha, Pradeeban Kathiravelu, Imon Banerjee, 2020, Journal of Digital Imaging.

Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS pdf

Saptarshi Purkayastha, Ashish Sharma, Pradeeban Kathiravelu, 2020, ArXiv.

Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes pdf

Saptarshi Purkayastha, Ashutosh Kumar Singh, Judy W. Gichoya, 2020, ArXiv.

Machine Learning for the Interventional Radiologist.

M. Lungren, J. Gichoya, Ryan D Meek, 2019, AJR. American journal of roentgenology.

Critical Components of Formative Assessment in Process‑Oriented Guided Inquiry Learning for Online Labs

Saptarshi Purkayastha, Pallavi Maity, Asha Kiranmayee Surapaneni, 2019, Electronic Journal of e-Learning.

Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data

S. Purkayastha, J. Gichoya, Tobiloba Adejumo, 2021, HEALTHINF.

Delivering on NIH data sharing requirements: avoiding Open Data in Appearance Only

L. Celi, J. Gichoya, C. Villanueva, 2023, BMJ health & care informatics.

Machine Learning Methods to Predict Survival in Patients Following Traumatic Aortic Injury

H. Trivedi, J. Gichoya, I. Banerjee, 2021, medRxiv.

Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction

L. Celi, H. Trivedi, D. Rubin, 2023, International IEEE/EMBS Conference on Neural Engineering.

Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction

L. Celi, H. Trivedi, D. Rubin, 2022, medRxiv.

Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography

H. Trivedi, J. Gichoya, I. Banerjee, 2023, Frontiers in radiology.

Structural under-reporting of informed consent, data handling and sharing, ethical approval, and application of Open Science principles as proxies for study quality conduct in COVID-19 research: a systematic scoping review

L. Celi, F. Bakhshi-Raiez, J. Gichoya, 2023, BMJ Global Health.

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation

H. Trivedi, S. Purkayastha, J. Gichoya, 2023, IEEE Journal of Biomedical and Health Informatics.

CVAD - An unsupervised image anomaly detector

S. Purkayastha, J. Gichoya, Imon Banerjee, 2021, Softw. Impacts.

Margin-aware intraclass novelty identification for medical images pdf

Saptarshi Purkayastha, Imon Banerjee, Judy Wawira Gichoya, 2021, Journal of medical imaging.

Balancing the Scales: An Analysis of Social Determinants of Health, Radiology Report Acuity, and Radiology Staffing Models in an Academic Health System.

S. Mazaheri, J. Gichoya, I. Banerjee, 2022, Journal of the American College of Radiology : JACR.

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Maria A. Zuluaga, M. Jorge Cardoso, Suyash P. Awate, 2023, ArXiv.

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.

M. Giger, Jayashree Kalpathy-Cramer, B. Sahiner, 2023, Journal of medical imaging.

Multi-Label Medical Image Retrieval Via Learning Multi-Class Similarity

H. Trivedi, S. Purkayastha, J. Gichoya, 2022, SSRN Electronic Journal.

Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications pdf

Saptarshi Purkayastha, Judy W. Gichoya, Jiwoong Jeong, 2020, ArXiv.

Generalization of Deep Convolutional Neural Networks - A Case-study on Open-source Chest Radiographs pdf

Imon Banerjee, Amara Tariq, Judy Wawira Gichoya, 2020, ArXiv.

Intellectual property: A primer for radiologists.

J. Gichoya, R. Duszak, P. Balthazar, 2022, Clinical imaging.

Query bot for retrieving patients’ clinical history: A COVID-19 use-case

H. Trivedi, J. Gichoya, I. Banerjee, 2021, Journal of Biomedical Informatics.

Visualizing Scanner Utilization From MRI Metadata and Clinical Data

Nabile M. Safdar, H. Trivedi, A. Bhimireddy, 2023, Computer.

Evaluating the Implementation of Deep Learning in LibreHealth Radiology on Chest X-Rays

Saptarshi Purkayastha, Judy W. Gichoya, Siddhartha Nuthakki, 2019, CVC.

Implementation of a single sign-on system between practice, research and learning systems

Saptarshi Purkayastha, Siva Abhishek Addepally, Judy W Gichoya, 2017, Applied Clinical Informatics.

Failures Hiding in Success for Artificial Intelligence in Radiology.

H. Trivedi, S. Purkayastha, J. Gichoya, 2021, Journal of the American College of Radiology : JACR.

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research

S. Purkayastha, J. Gichoya, C. Wyles, 2023, ArXiv.

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors

H. Trivedi, J. Gichoya, L. Seyyed-Kalantari, 2023, ArXiv.

AI Education for Fourth-Year Medical Students: Two-Year Experience of a Web-Based, Self-Guided Curriculum and Mixed Methods Study

H. Trivedi, S. Purkayastha, J. Gichoya, 2023, JMIR medical education.

Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks pdf

Saptarshi Purkayastha, Siddhartha Nuthakki, Sunil Neela, 2019, ArXiv.

A Systematic Review of ‘Fair’ AI Model Development for Image Classification and Prediction

L. Celi, H. Trivedi, J. Gichoya, 2022, Journal of Medical and Biological Engineering.

Disparities in Transplant Interventions.

J. Gichoya, Kaesha Thomas, Owosela Babajide, 2023, Techniques in vascular and interventional radiology.