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Danne Elbers, PhD
Danne Elbers, PhD
Assistant Professor, Boston University & Associate Director, VA Boston CSP Informatics
Verified email at bu.edu
Title
Cited by
Cited by
Year
Interpretable bias mitigation for textual data: Reducing genderization in patient notes while maintaining classification performance
JR Minot, N Cheney, M Maier, DC Elbers, CM Danforth, PS Dodds
ACM Transactions on Computing for Healthcare 3 (4), 1-41, 2022
232022
The Veterans Precision Oncology Data Commons: transforming VA data into a national resource for research in precision oncology
N Do, R Grossman, T Feldman, N Fillmore, D Elbers, D Tuck, R Dhond, ...
Seminars in Oncology 46 (4-5), 314-320, 2019
142019
The veterans affairs precision oncology data repository, a clinical, genomic, and imaging research database
DC Elbers, NR Fillmore, FC Sung, SS Ganas, A Prokhorenkov, C Meyer, ...
Patterns 1 (6), 2020
132020
Brain dopamine and serotonin transporter binding are associated with visual attention bias for food in lean men
KE Koopman, A Roefs, DCE Elbers, E Fliers, J Booij, MJ Serlie, ...
Psychological Medicine 46 (8), 1707-1717, 2016
82016
ProjectFlow: a configurable workflow management application for point of care research
R Dhond, D Elbers, N Majahalme, S Dipietro, S Goryachev, R Acher, ...
JAMIA open 4 (3), ooab074, 2021
62021
An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center
NR Fillmore, DC Elbers, J La, TC Feldman, FC Sung, RB Hall, V Nguyen, ...
Journal of the American Medical Informatics Association 27 (11), 1716-1720, 2020
62020
Epidemiology of cancer-associated venous thromboembolism in patients with solid and hematologic neoplasms in the veterans affairs health care system
KL Martens, A Li, J La, SB May, KN Swinnerton, H Tosi, DC Elbers, NV Do, ...
JAMA Network Open 6 (6), e2317945-e2317945, 2023
22023
External validation of a prognostic model for mortality among patients with non–small-cell lung cancer using the Veterans Precision Oncology Data Commons
D Cheng, J Ramos-Cejudo, D Tuck, D Elbers, M Brophy, N Do, N Fillmore
Seminars in Oncology 46 (4-5), 327-333, 2019
22019
A predictive model for survival in non-small cell lung cancer (NSCLC) based on electronic health record (EHR) and tumor sequencing data at the Department of Veterans Affairs (VA).
N Fillmore, J Ramos-Cejudo, D Cheng, DP Tuck, AR Sheikh, D Chen, ...
Journal of Clinical Oncology 37 (15_suppl), 109-109, 2019
22019
Brain tumors in United States military veterans
JR Bihn, G Cioffi, KA Waite, C Kruchko, C Neff, M Price, QT Ostrom, ...
Neuro-oncology 26 (2), 387-396, 2024
12024
Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs
DC Elbers, J La, JR Minot, R Gramling, MT Brophy, NV Do, NR Fillmore, ...
Plos one 18 (1), e0280931, 2023
12023
Rapid implementation of a modular clinical trial informatics solution for COVID-19 research
R Dhond, R Acher, S Leatherman, S Page, R Sanford, D Elbers, F Meng, ...
Informatics in Medicine Unlocked 27, 100788, 2021
12021
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment
F Meng, CA Morioka, DC Elbers
arXiv preprint arXiv:1908.03594, 2019
12019
Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.
NV Do, JC Ramos, NR Fillmore, RL Grossman, M Fitzsimons, DC Elbers, ...
Studies in Health Technology and Informatics 264, 1453-1453, 2019
12019
Striatal dopamine transporter binding correlates with body composition, energy expenditure, and visual attention bias for food-related cues
KEM Koopman, A Roefs, DCE Elbers, E Fliers, J Booij, MJ Serlie, ...
Diabetes 63, A519-A519, 2014
12014
Formative Development of a Population Management Approach to Engage High-benefit Veterans in Lung Cancer Screening
L Kearney, J Brady, J Pendergast, A Barker, G Fix, T Caverly, NT Tanner, ...
A36. PROGRESS IN LUNG CANCER AND LUNG CANCER SCREENING, A1421-A1421, 2024
2024
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals
A Mohan, D Elbers, O Zilbershot, F Afghah, D Vorchheimer
arXiv preprint arXiv:2402.09474, 2024
2024
Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots
M Clark, C Meyer, J Ramos-Cejudo, DC Elbers, K Pierce-Murray, R Fricks, ...
MEDINFO 2023—The Future Is Accessible, 735-739, 2024
2024
Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow
NV Do, DC Elbers, NR Fillmore, S Ajjarapu, SJ Bergstrom, J Bihn, ...
MEDINFO 2023—The Future Is Accessible, 1086-1090, 2024
2024
Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE).
DC Elbers, NR Fillmore, J La, HM Tosi, S Ajjarapu, R Dhond, K Murray, ...
Studies in Health Technology and Informatics 310, 1131-1135, 2024
2024
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