Projects per year
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Collaborations and top research areas from the last five years
Projects
- 4 Finished
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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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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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A call for action: The need to quantify the “-itis” in primary sclerosing cholangitis
Eaton, J. E., Erickson, B. J. & Venkatesh, S. K., Sep 2026, In: Journal of hepatology. 85, 3, p. e88-e89Research output: Contribution to journal › Letter › peer-review
Open Access -
A Different Kind of Marble: Sublingual Epidermoid Cyst with the "Sack of Marbles" Sign
Salehi, S., Shi, T., Nagelschneider, A. A. & Erickson, B. J., Apr 30 2026, In: Journal of Radiology Case Reports. 20, 4Research output: Contribution to journal › Article › peer-review
Open Access -
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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Approach to Patient: Stalk Lesions of the Pituitary Gland
Erickson, D., Donegan, D., Erickson, B. J. & Van Gompel, J., Jul 2026, In: Journal of Clinical Endocrinology and Metabolism. 111, 7, p. 2089-2100 12 p.Research output: Contribution to journal › Article › peer-review
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Comparative Evaluation of Deep Learning Models for 3D Segmentation and Volumetry of Vestibular Schwannomas Using Large Heterogeneous Data Sets with External Validation
Mehta, P. M., Yayli, S. B., Rai, P., Sonka, M., Blezek, D. J., Zhang, H., Silvera, V. M., Benson, J. C., Carlson, M. L., Erickson, B. J. & Bathla, G., May 1 2026, In: American Journal of Neuroradiology. 47, 5, p. 1266-1272 7 p.Research output: Contribution to journal › Article › peer-review
Open Access