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Collaborations and top research areas from the last five years
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Investigating the Effect of Synthetic Medical Images on Fairness in Medical Deep Learning Research
Erickson, B. J. (PI) & Khosravi, B. (CoPI)
National Institute on Minority Health and Health Disparities
9/22/24 → 6/30/26
Project: Research project
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Human Imaging Core
Erickson, B. J. (PI)
National Institute of Diabetes and Digestive and Kidney Diseases
9/15/15 → 6/30/20
Project: Research project
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Objective decision support environment for clinical trials
Erickson, B. J. (PI)
8/9/12 → 7/31/15
Project: Research project
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Mayo Translational PKD Center (MTPC)
Torres, V. (PI), Ekker, S. C. (CoPI), Erickson, B. J. (CoPI), Harris, P. C. (CoPI) & Romero, M. F. (CoPI)
National Institute of Diabetes and Digestive and Kidney Diseases
9/30/10 → 9/30/20
Project: Research project
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Change Detection in Serial MRIs of Patients with Brain Gliomas
Erickson, B. J. (PI)
3/1/07 → 8/31/10
Project: Research project
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Advancing endometriosis detection in daily practice: a deep learning-enhanced multi-sequence MRI analytical model
Moassefi, M., Faghani, S., Colak, C., Sheedy, S. P., Andrieu, P. L. C., Wang, S. S., McPhedran, R. L., Flicek, K. T., Suman, G., Takahashi, H., Bookwalter, C. A., Burnett, T. L., Erickson, B. J. & VanBuren, W. M., Jan 2026, In: Abdominal Radiology. 51, 1, p. 238-249 12 p.Research output: Contribution to journal › Article › peer-review
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Cross-Institutional Evaluation of Large Language Models for Radiology Diagnosis Extraction: A Prompt-Engineering Perspective
Moassefi, M., Houshmand, S., Faghani, S., Chang, P. D., Sun, S. H., Khosravi, B., Triphati, A. G., Rasool, G., Bhatia, N. K., Folio, L., Andriole, K. P., Gichoya, J. W. & Erickson, B. J., Feb 2026, In: Journal of Imaging Informatics in Medicine. 39, 1, p. 989-994 6 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep learning analysis of MRI accurately detects early-stage perihilar cholangiocarcinoma in patients with primary sclerosing cholangitis
Singh, Y., Eaton, J. E., Venkatesh, S. K., Welle, C. L., Smith, B., Faghani, S., Vesterhus, M., Karlsen, T. H., Jorgensen, K. K., Folseraas, T., Petrovic, K., Negard, A., Bjoerk, I., Abildgaard, A., Gulamhusein, A. F., Jhaveri, K., Gores, G. J., Ilyas, S. I., Taner, T. & Heimbach, J. K. & 4 others, , Jan 2026, In: Hepatology. 83, 1, p. 30-39 10 p.Research output: Contribution to journal › Article › peer-review
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Deep Learning-Based Instance-Level Segmentation of Kidney and Liver Cysts in Computed Tomography Images of Patients Affected by Polycystic Kidney Disease
Gregory, A. V., Khalifa, M., Im, J., Ramanathan, S., Elbarougy, D. E., Cruz, C., Yang, H., Denic, A., Rule, A. D., Chebib, F. T., Dahl, N. K., Hogan, M. C., Harris, P. C., Torres, V. E., Erickson, B. J., Potretzke, T. A. & Kline, T. L., Jan 2026, In: Kidney360. 7, 1, p. 117-130 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Learning-Derived Pericardial Adipose Tissue by Electrocardiogram-Gated Cardiac Computed Tomography Predicts Cardiovascular Events Beyond Coronary Calcium Score
Esmaeili, Z., Medina-Inojosa, J. R., Mahmoudi, E., Ortega-Aviles, L. M., Medina-Inojosa, B. J., Erickson, B. J. & Lopez-Jimenez, F., 2026, (Accepted/In press) In: American Journal of Preventive Cardiology. 101549.Research output: Contribution to journal › Article › peer-review
Open Access