Danne C. Elbers

According to our database, Danne C. Elbers authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ten Pillars for Data Meshes.

Robert L. Grossman, Ceilyn Boyd, Nhan V. Do, Danne C. Elbers, Michael Sean Fitzsimons, Maryellen L. Giger, Anthony Juehne, Brienna Larrick, Jerry S. H. Lee, Dawei Lin, Michael Lukowski, James D. Myers, Philip Schumm, Aarti Venkat

CoRR, 2024

Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals.

Aruna Mohan, Danne C. Elbers, Or Zilbershot, Fatemeh Afghah, David Vorchheimer

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

Eric Lin, Robert Zwolinski, Julie Tsu-Yu Wu, Jennifer La, Sergey Goryachev, Linden B. Huhmann, Cenk Yildirim, David P. Tuck, Danne C. Elbers, Mary T. Brophy, Nhan V. Do, Nathanael R. Fillmore

Health Informatics J., July, 2023

Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE).

Danne C. Elbers, Nathanael R. Fillmore, Jennifer La, Hannah M. Tosi, Samuel Ajjarapu, Rupali Dhond, Karen E. Murray, Danielle Valley, Colleen Shannon, Mary T. Brophy, Nhan V. Do

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow.

Nhan V. Do, Danne C. Elbers, Nathanael R. Fillmore, Samuel Ajjarapu, Steven J. Bergstrom, John Bihn, June K. Corrigan, Rupali Dhond, Svitlana Dipietro, Arkadiy Dolgin, Theodore C. Feldman, Sergey D. Goryachev, Linden B. Huhmann, Jennifer La, Paul A. Marcantonio, Kyle M. McGrath, Stephen J. Miller, Vinh Q. Nguyen, George R. Schneeloch, Feng-Chi Sung, Kaitlin N. Swinnerton, Amelia H. Tarren, Hannah M. Tosi, Danielle Valley, Austin D. Vo, Cenk Yildirim, Chunlei Zheng, Robert Zwolinski, Gisele A. Sarosy, David Loose, Colleen Shannon, Mary T. Brophy

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots.

Matthew Clark, Christopher Meyer, Jaime Ramos-Cejudo, Danne C. Elbers, Karen E. Pierce-Murray, Rafael Fricks, Gil Alterovitz, Luigi Rao, Mary T. Brophy, Nhan V. Do, Robert L. Grossman, Nathanael R. Fillmore

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance.

Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds

ACM Trans. Comput. Heal., 2022

Better PROSPECT for cancer care: Supporting the generation and delivery of knowledge for decision making at tumor boards with the Precision Oncology System for Prediction, Engineering, and Clinical Translation (PROSPECT).

Austin D. Vo, Danne C. Elbers, Theodore C. Feldman, Paul A. Marcantonio, Anahit Aleksanyan, Nhan Vo, Feng-Chi Sung, Svitlana Dipietro, Arkadiy Dolgin, Rupali Dhond, Mary Brophy, Nathanael Fillmore, David Kaplan, Nhan V. Do

Proceedings of the AMIA 2022, 2022

2021

Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center.

Nathanael R. Fillmore, Danne C. Elbers, Jennifer La, Theodore C. Feldman, Sung Feng-Chi, Robert B. Hall, Vinh Q. Nguyen, Nicholas B. Link, Robert Zwolinski, Svitlana Dipietro, Stephen J. Miller, Anahit Aleksanyan, Sergey Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do

J. Am. Medical Informatics Assoc., 2021

Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance.

Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds

CoRR, 2021

2020

The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database.

Danne C. Elbers, Nathanael R. Fillmore, Sung Feng-Chi, Spyridon S. Ganas, Alexander M. Prokhorenkov, Christopher Meyer, Robert B. Hall, Samuel Ajjarapu, Daniel C. Chen, Frank Meng, Robert L. Grossman, Mary T. Brophy, Nhan V. Do

Patterns, 2020

An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.

Nathanael R. Fillmore, Danne C. Elbers, Jennifer La, Theodore C. Feldman, Sung Feng-Chi, Robert B. Hall, Vinh Q. Nguyen, Nicholas B. Link, Robert Zwolinski, Svitlana Dipietro, Steven J. Miller, Anahit Aleksanyan, Sergey Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do

J. Am. Medical Informatics Assoc., 2020

Veterans Health Administration (VHA) and National Cancer Institute (NCI) Interagency Preliminary Computable Phenotypes for the VA-NCI Interagency Clinical Trial Optimizer for Recruitment and Enrollment (VICTOR-E).

Theodore C. Feldman, Nathanael Fillmore, Sandy Chon, Shahin Assefnia, David Loose, Gisele A. Sarosy, Jennifer La, David Cheng, Frank Meng, Danielle Valley, Robert B. Hall, Paul Corcoran, Robert Zwolinski, Danne C. Elbers, Mary T. Brophy, Nhan V. Do

Proceedings of the AMIA 2020, 2020

2019

Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment.

Frank Meng, Craig A. Morioka, Danne C. Elbers

CoRR, 2019

Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.

Nhan V. Do, Jaime C. Ramos, Nathanael R. Fillmore, Robert L. Grossman, Michael Fitzsimons, Danne C. Elbers, Frank Meng, Brett R. Johnson, Samuel Ajjarapu, Corri L. DeDomenico, Karen E. Pierce-Murray, Robert B. Hall, Andrew F. Do, Kelly Gaynor, Peter L. Elkin, Mary T. Brophy

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Workflow Pipeline for Medical Image Data Curation and Sharing.

Sylvester Sakilay, Danne C. Elbers, Scott Doyle, Luis E. Selva, Brett R. Johnson, Nhan V. Do, Peter L. Elkin

Proceedings of the AMIA 2019, 2019

2018

The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System.

Danne C. Elbers, Frank Meng, Scott Doyle, Sylvester Sakilay, Sung Feng-Chi, Brett R. Johnson, Robert B. Hall, Nathanael Fillmore, Daniel Chen, Alexander D. Diehl, Samuel Ajjarapu, Karen E. Pierce-Murray, Corri DeDomenico, Colleen Shannon, Sara Schiller, Nhan V. Do, Peter L. Elkin, Louis D. Fiore, Mary T. Brophy

Proceedings of the AMIA 2018, 2018

Development of an AI empowered Electronic Molecular Tumor Board Application Connected Utilizing the SMART on FHIR Framework.

Nhan V. Do, J. J. Bono, Nathanael Fillmore, Andrew J. Zimolzak, Brett R. Johnson, Frank Meng, Danne C. Elbers, Robert B. Hall, Samuel Ajjarapu, Mary T. Brophy, Peter L. Elkin

Proceedings of the AMIA 2018, 2018

2017

An NLP Tool for Boosting Annotation Capture from Clinical Documents.

Frank Meng, Craig A. Morioka, Weixia Yu, Nilla Majahalme, Danne C. Elbers, Sergey Goryachev, Nhan V. Do

Proceedings of the AMIA 2017, 2017

Implementation of an Informatics Solution to Improve Management of Pathology Specimens for the VA Precision Oncology Program.

Danne C. Elbers, Robert B. Hall, Beth Katcher, Svitlana Dipietro, Sung Feng-Chi, Sergey Goryachev, Karen E. Pierce-Murray, Corri DeDomenico, Lauren Macmullen, Helene Garcon, Nhan V. Do, Louis D. Fiore

Proceedings of the AMIA 2017, 2017

The Development of the Research Precision Oncology Program Data Repository (PODR) in the Veterans Affairs Healthcare System.

Nhan V. Do, Karen E. Pierce-Murray, Edmund C. Peirce, Corri DeDomenico, Frank Meng, Danne C. Elbers, Beth Katcher, Robert B. Hall, Andrew J. Zimolzak, Samuel Ajjarapu, Colleen Shannon, Sara Turek, Brett R. Johnson, Nathanael Fillmore, Mary Brophy, Louis D. Fiore

Proceedings of the AMIA 2017, 2017

ProjectFlow: Configurable Clinical Trial Management with Enterprise Data Integration and Point-of-Care Study Support.

Ryan C. Cornia, Nilla Majahalme, Danne C. Elbers, Svitlana Dipietro, Brian R. Ivie, Brad Adams, Ramana Seerapu, Valmeek Kudesia, Scott L. DuVall

Proceedings of the AMIA 2017, 2017

Releasing De-Identified Clinical, Imaging, and Genomic Data from the VA to External Repositories for the APOLLO Network.

Samuel Ajjarapu, Frank Meng, Danne C. Elbers, Nhan V. Do, Robert B. Hall, Karen E. Pierce-Murray, Luis E. Selva, Beth Katcher, Brett R. Johnson, Andrew J. Zimolzak, Corri DeDomenico, Mary Brophy, Louis D. Fiore

Proceedings of the AMIA 2017, 2017