Brink, James A.

Current Applications and Future Impact of Machine Learning in Radiology

Choy, G., Khalilzadeh, O., Michalski, M., Do, S., Samir, A. E., Pianykh, O. S., Geis, J. R., Pandharipande, P. V., Brink, J. A., & Dreyer, K. J. (2018) · Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 800

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

Thrall, J. H., Li, X., Li, Q., Cruz, C., Do, S., Dreyer, K., & Brink, J. (2018) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 710

Continuous Learning AI in Radiology: Implementation Principles and Early Applications

Pianykh, O. S., Langs, G., Dewey, M., Enzmann, D. R., Herold, C. J., Schoenberg, S. O., & Brink, J. A. (2020) · Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 237

Dynamic Memory to Alleviate Catastrophic Forgetting in Continual Learning with Medical Imaging

Perkonigg, M., Hofmanninger, J., Herold, C. J., Brink, J. A., Pianykh, O., Prosch, H., & Langs, G. (2021) · Nature Communications

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 106

Improving healthcare operations management with machine learning

Pianykh, O. S., Guitron, S., Parke, D., Zhang, C., Pandharipande, P., Brink, J., & Rosenthal, D. (2020) · Nature Machine Intelligence

Healthcare Operations and Scheduling OptimizationArtificial Intelligence in Healthcare

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