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Publications

Found 6 results
Filters: Author is Yi, D.  [Clear All Filters]
2020
Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI, Grovik, E., Yi D., Iv M., Tong E., Rubin D., and Zaharchuk G. , J Magn Reson Imaging, Jan, Volume 51, Number 1, p.175-182, (2020)
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms, Schaffter, T., Buist D. S. M., Lee C. I., Nikulin Y., Ribli D., Guan Y., Lotter W., Jie Z., Du H., Wang S., et al. , JAMA Netw Open, Mar 2, Volume 3, Number 3, p.e200265, (2020)
2019
Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs, Dunnmon, J. A., Yi D., Langlotz C. P., Re C., Rubin D. L., and Lungren M. P. , Radiology, Feb, Volume 290, Number 2, p.537-544, (2019)
Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI, Grovik, E., Yi D., Iv M., Tong E., Rubin D., and Zaharchuk G. , J Magn Reson Imaging, May 2, (2019)
2018
Distributed deep learning networks among institutions for medical imaging, Chang, K., Balachandar N., Lam C., Yi D., Brown J., Beers A., Rosen B., Rubin D. L., and Kalpathy-Cramer J. , J Am Med Inform Assoc, Aug 1, Volume 25, Number 8, p.945-954, (2018)
2017
Differential Data Augmentation Techniques for Medical Imaging Classification Tasks, Hussain, Z., Gimenez F., Yi D., and Rubin D. , AMIA Annu Symp Proc, Volume 2017, p.979-984, (2017)