nonmunshiljuk.jpg



[JCAT] Choi, J. W., Lee, S. Y., Kim, J. H., Jin, H., Lee, J., Choi, Y. H., ... & Park, J. H. (2017). Iterative Metallic Artifact Reduction for In-Plane Gonadal Shielding During Computed Tomographic Venography of Young Males. Journal of Computer Assisted Tomography,
http://www.ncbi.nlm.nih.gov/pubmed/28937486


[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.
http://www.ncbi.nlm.nih.gov/pubmed/28458602


[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.

로그인

로그인폼

로그인 유지