Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation

Author:

Wang Rongguang,Chaudhari Pratik,Davatzikos Christos

Funder

National Institute of Mental Health

National Institute on Aging

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference81 articles.

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4. Bashyam, V. M., Doshi, J., Erus, G., Srinivasan, D., Abdulkadir, A., Habes, M., Fan, Y., Masters, C. L., Maruff, P., Zhuo, C., et al., 2020a. Medical image harmonization using deep learning based canonical mapping: toward robust and generalizable learning in imaging. arXiv preprint arXiv:2010.05355.

5. MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide;Bashyam;Brain,2020

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