Danne C. Elbers

26 papers Misc 10Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rule-based natural language processing to extract clinical trial and research study enrollment history from unstructured notes.
Health Informatics J.
Sergey D. Goryachev, Julie Tsu-Yu Wu, Eric Lin, Daphne R. Friedman, Robert Zwolinski, Rupali Dhond, Danne C. Elbers, Jennifer La, Cenk Yildirim, June K. Corrigan, Daniel C. R. Chen, Mary T. Brophy, Nhan V. Do, Nathanael R. Fillmore
2025 J jnl
Effectiveness of electronic medical record-based strategies for death and hospital admission endpoint capture in pragmatic clinical trials.
J. Am. Medical Informatics Assoc.
Maryam Rahafrooz, Danne C. Elbers, Jay R. Gopal, Junling Ren, Nathan H. Chan, Cenk Yildirim, Akshay S. Desai, Abigail A. Santos, Karen Murray, Thomas Havighurst, Jacob A. Udell, Michael E. Farkouh, Lawton Cooper, John Michael Gaziano, Orly Vardeny, Lu Mao, KyungMann Kim, David R. Gagnon, Scott D. Solomon, Jacob Joseph
2024 — conf
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals.
EMBC
Aruna Mohan, Danne C. Elbers, Or Zilbershot, Fatemeh Afghah, David Vorchheimer
2024 J jnl
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals.
CoRR
Aruna Mohan, Danne C. Elbers, Or Zilbershot, Fatemeh Afghah, David Vorchheimer
2024 J jnl
Ten Pillars for Data Meshes.
CoRR
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
2023 — conf
Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE).
MedInfo
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
2023 J jnl
Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.
Health Informatics J.
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
2023 — conf
Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow.
MedInfo
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
2023 — conf
Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots.
MedInfo
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
2022 Misc conf
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).
AMIA
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
2022 J jnl
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance.
ACM Trans. Comput. Heal.
Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds
2021 J jnl
Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center.
J. Am. Medical Informatics Assoc.
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
2021 J jnl
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance.
CoRR
Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds
2020 J jnl
An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.
J. Am. Medical Informatics Assoc.
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
2020 J jnl
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database.
Patterns
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
2020 Misc conf
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).
AMIA
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
2019 J jnl
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment.
CoRR
Frank Meng, Craig A. Morioka, Danne C. Elbers
2019 — conf
Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.
MedInfo
Nhan V. Do, Jaime C. Ramos, Nathanael R. Fillmore, Robert L. Grossman, Michael Sean 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
2019 Misc conf
Workflow Pipeline for Medical Image Data Curation and Sharing.
AMIA
Sylvester Sakilay, Danne C. Elbers, Scott Doyle, Luis E. Selva, Brett R. Johnson, Nhan V. Do, Peter L. Elkin
2018 Misc conf
Development of an AI empowered Electronic Molecular Tumor Board Application Connected Utilizing the SMART on FHIR Framework.
AMIA
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
2018 Misc conf
The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System.
AMIA
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
2017 Misc conf
An NLP Tool for Boosting Annotation Capture from Clinical Documents.
AMIA
Frank Meng, Craig A. Morioka, Weixia Yu, Nilla Majahalme, Danne C. Elbers, Sergey Goryachev, Nhan V. Do
2017 Misc conf
Implementation of an Informatics Solution to Improve Management of Pathology Specimens for the VA Precision Oncology Program.
AMIA
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
2017 Misc conf
ProjectFlow: Configurable Clinical Trial Management with Enterprise Data Integration and Point-of-Care Study Support.
AMIA
Ryan C. Cornia, Nilla Majahalme, Danne C. Elbers, Svitlana Dipietro, Brian R. Ivie, Brad Adams, Ramana Seerapu, Valmeek Kudesia, Scott L. DuVall
2017 Misc conf
Releasing De-Identified Clinical, Imaging, and Genomic Data from the VA to External Repositories for the APOLLO Network.
AMIA
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
2017 Misc conf
The Development of the Research Precision Oncology Program Data Repository (PODR) in the Veterans Affairs Healthcare System.
AMIA
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