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[KJR] Lee, M., Woo, B., Kuo, M. D., Jamshidi, N., & Kim, J. H. (2017). Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software. Korean Journal of Radiology, 18(3), 498-509.
https://doi.org/10.3348/kjr.2017.18.3.498


[SPIE] Ahn, C. K., Heo, C., Jin, H., & Kim, J. H. (2017, March). A Novel Deep Learning-based Approach to High Accuracy Breast Density Estimation in Digital Mammography. In SPIE Medical Imaging (pp. 101342O-101342O). International Society for Optics and Photonics.
http://dx.doi.org/10.1117/12.2254264


[IFMIA] Ahn, C., Park, B., Jin, H., Heo, C., Yang, Z., Lee, J., & Kim, J. H. (2017). A Deep Learning Approach to Automated Mammographic Breast Density Estimation.

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