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Bradley J Erickson, MD, PhD

  • 4630 Citations
  • 35 Scopus h-Index
1986 …2020

Research output per year

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Projects

Mayo Translational PKD Center (MTPC)

Torres, V., Ekker, S. C., Romero, M. F., Harris, P. C. & Erickson, B. J.

National Institutes of Health

9/30/10 → 6/30/20

Project: Research project

    • Objective decision support environment for clinical trials

    Erickson, B. J.

    National Institutes of Health

    8/9/12 → 7/31/17

    Project: Research project

    • Change Detection in Serial MRIs of Patients with Brain Gliomas

    Erickson, B. J.

    National Institutes of Health

    3/1/07 → 8/31/10

    Project: Research project

    • Research Output

    An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

    Attia, Z. I., Noseworthy, P. A., Lopez-Jimenez, F., Asirvatham, S. J., Deshmukh, A. J., Gersh, B. J., Carter, R. E., Yao, X., Rabinstein, A. A., Erickson, B. J., Kapa, S. & Friedman, P. A., Sep 7 2019, In : The Lancet. 394, 10201, p. 861-867 7 p.

    Research output: Contribution to journal › Article

    • 17 Scopus citations

    A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

    Langlotz, C. P., Allen, B., Erickson, B. J., Kalpathy-Cramer, J., Bigelow, K., Cook, T. S., Flanders, A. E., Lungren, M. P., Mendelson, D. S., Rudie, J. D., Wang, G. & Kandarpa, K., Jun 1 2019, In : Radiology. 291, 3, p. 781-791 11 p.

    Research output: Contribution to journal › Article

    Open Access
    • 20 Scopus citations

    A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow

    Akkus, Z., Cai, J., Boonrod, A., Zeinoddini, A., Weston, A. D., Philbrick, K. A. & Erickson, B. J., Sep 1 2019, In : Journal of the American College of Radiology. 16, 9, p. 1318-1328 11 p.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

    Weston, A. D., Korfiatis, P., Kline, T., Philbrick, K. A., Kostandy, P., Sakinis, T., Sugimoto, M., Takahashi, N. M. & Erickson, B. J., Mar 1 2019, In : Radiology. 290, 3, p. 669-679 11 p.

    Research output: Contribution to journal › Article

    • 27 Scopus citations

    Automatic Measurement of Kidney and Liver Volumes from MR Images of Patients Affected by Autosomal Dominant Polycystic Kidney Disease

    van Gastel, M. D. A., Edwards, M. E., Torres, V., Erickson, B. J., Gansevoort, R. T. & Kline, T., Aug 1 2019, In : Journal of the American Society of Nephrology : JASN. 30, 8, p. 1514-1522 9 p.

    Research output: Contribution to journal › Article