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[IFMIA] Chun, M., & Kim, J. H. An Image Processing Technique for Automated Evaluation of the Relationship between Radiation Dose and Contrast-to-Noise Ratio in Dual Energy CT.
https://www.researchgate.net/profile/Minsoo_Chun3/publication/305469974_An_Image_Processing_Technique_for_Automated_Evaluation_of_the_Relationship_between_Radiation_Dose_and_Contrast-to-Noise_Ratio_in_Dual_Energy_Abdominal_CT/links/57916a3608ae64311c11aade.pdf


[ESR] Othman, A. E., Brockmann, C., Yang, Z., Kim, C., Afat, S., Pjontek, R., Nikobashman O, Brockmann MA, Kim JH, & Wiesmann, M. (2015). Effects of radiation dose reduction in Volume Perfusion CT imaging of acute ischemic stroke. European radiology, 25(12), 3415-3422.
http://www.ncbi.nlm.nih.gov/pubmed/25903716


[PMB] Chun, M., Choi, Y. H., & Kim, J. H. (2015). Automated measurement of CT noise in patient images with a novel structure coherence feature. Physics in medicine and biology, 60(23), 9107.
http://www.ncbi.nlm.nih.gov/pubmed/26561914


[AAPM] Chun, M., & Kim, J. (2015). TU-F-CAMPUS-I-04: Fully Automated Evaluation of CT AEC Performance Using a Novel Automated Noise Level Measurement Technique. Medical physics, 42(6), 3639-3639.
http://dx.doi.org/10.1118/1.4925799


[AAPM] Kim, J., Kim, Y., Yang, Z., Hong, B., Kuo, M., Han, W., ... & Jamshidi, N. (2015). TU-CD-BRB-11: A Spatiotemporal Image Phenotyping Pipeline for Radiogenomic Profiling of Breast Cancer with DCE MRI. Medical physics, 42(6), 3605-3605.
http://dx.doi.org/10.1118/1.4925596


[AAPM] Yang, Z., Jin, H., & Kim, J. (2015). SU-F-207-04: Noise-Robust and Accurate Measurement Method of Small Airway Wall Thickness in Low-Dose CT Scan: A COPDgene Phantom Study. Medical physics, 42(6), 3542-3542.
http://dx.doi.org/10.1118/1.4925248


[AAPM] Jin, H., Ahn, C., Kuo, M., & Kim, J. (2015). SU-EJ-259; How Does CT Reconstruction Kernel Affect the Radiogenomic Features in Non-Small Cell Lung Cancer?. Medical physics, 42(6), 3326-3326.
http://dx.doi.org/10.1118/1.4924345


[AAPM] Lee, M., Woo, B., Kim, J., Jamshidi, N., & Kuo, M. (2015). SU-EJ-252: Reproducibility of Radiogenomic Image Features: Comparison of Two Semi-Automated Segmentation Methods. Medical physics, 42(6), 3324-3324.
http://dx.doi.org/10.1118/1.4924338


[RSNA] Yamamoto, S., Han, W., Kim, Y., Du, L., Jamshidi, N., Huang, D., Kim JH, & Kuo, M. D. (2015). Breast cancer: radiogenomic biomarker reveals associations among dynamic contrast-enhanced MR imaging, long noncoding RNA, and metastasis. Radiology, 275(2), 384-392.
http://www.ncbi.nlm.nih.gov/pubmed/25734557

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