1. Yoo Jung Kim, Seongkeun Park, Jinwook Choi. PAIP 2019: Liver cancer segmentation challenge. MEDIA, 2021.
  2. Ali Yousefian-Jazi, Min Kyung Sung, Taeyeop Lee, Yoon-Ho Hong, Jung Kyoon Choi & Jinwook Choi. Functional fine-mapping of noncoding risk variants in amyotrophic lateral sclerosis utilizing convolutional neural network. Scientific Reports, 2020. 10:12872.
  3. Lee, K. S., Jung, S. K., Ryu, J. J., Shin, S. W., & Choi, J. Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs. Journal of Clinical Medicine, 2020. 9(2), 392. 10.3390/jcm9020392
  4. Lee, W., & Choi, J. (2019). Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition. BMC medical informatics and decision making, 19(1), 132.
  5. Yousefian-Jazi, A., Jung, J., Choi, J. K., & Choi, J. (2019). Functional annotation of noncoding causal variants in autoimmune diseases. Genomics.
  6. Yousefian-Jazi, A., & Choi, J. (2018). Sequential Integration of Fuzzy Clustering and Expectation Maximization for Transcription Factor Binding Site Identification. Journal of Computational Biology, 25(11), 1247-1256.
  7. Lee, W., Kim, K., Lee, E. Y., & Choi, J. (2018). Conditional random fields for clinical named entity recognition: A comparative study using Korean clinical texts. Computers in biology and medicine, 101, 7-14.
  8. Lee, W., & Choi, J. (2018). Temporal segmentation for capturing snapshots of patient histories in korean clinical narrative. Healthcare informatics research, 24(3), 179-186.
  9. Lee, J., Song, H. J., Yoon, E., Park, S. B., Park, S. H., Seo, J. W., … & Choi, J. (2018). Automated extraction of Biomarker information from pathology reports. BMC medical informatics and decision making, 18(1), 29.
  10. Lee, H., Park, J. B., Choi, S. W., Yoon, Y. E., Park, H. E., Lee, S. E., … & Lee, H. Y. (2017). Impact of a telehealth program with voice recognition technology in patients with chronic heart failure: feasibility study. JMIR mHealth and uHealth, 5(10), e127.
  11. Seol, J. W., Yi, W., Choi, J., & Lee, K. S. (2017). Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries. International journal of medical informatics, 98, 1-12.
  12. Cho, I., Lee, J. H., Choi, J., Hwang, H., & Bates, D. W. (2016). National Rules for Drug–Drug Interactions: Are They Appropriate for Tertiary Hospitals?. Journal of Korean medical science, 31(12), 1887-1896.
  13. Cho, I., Lee, J. H., Choi, S. K., Choi, J. W., Hwang, H., & Bates, D. W. (2015). Acceptability and feasibility of the Leapfrog computerized physician order entry evaluation tool for hospitals outside the United States. International journal of medical informatics, 84(9), 694-701.
  14. Park, M., Yoon, E., Lim, Y. H., Kim, H., Choi, J., & Yoon, H. J. (2015). Renal hyperfiltration as a novel marker of all-cause mortality. Journal of the American Society of Nephrology, 26(6), 1426-1433.
  15. Yun, J. M., Hwang, S. J., Anh, S. Y., Lee, S. M., Kang, P., Lee, J. E., … & Park, P. (2015). Development of biomarker positivity analysis system for cancer diagnosis based on clinical data. Bio-medical materials and engineering, 26(s1), S2101-S2111.
  16. Choi, J. (2015). Future directions for next-generation hospital information system. Healthcare informatics research, 21(1), 1-2.
  17. Park, H., & Choi, J. (2014). V-Model: a new perspective for EHR-based phenotyping. BMC medical informatics and decision making, 14(1), 90.
  18. Kim, Y. J., Park, S., Yi, W., Yu, K. S., Kim, T. H., Oh, T. J., … & Cho, Y. M. (2014). Seasonal variation in hemoglobin A1c in Korean patients with type 2 diabetes mellitus. Journal of Korean medical science, 29(4), 550-555.
  19. Choi, S., Choi, J., Yoo, S., Kim, H., & Lee, Y. (2014). Semantic concept-enriched dependence model for medical information retrieval. Journal of biomedical informatics, 47, 18-27.
  20. Kim, S., & Choi, J. (2014). An SVM-based high-quality article classifier for systematic reviews. Journal of biomedical informatics, 47, 153-159.
  21. Choi, S., Ryu, B., Yoo, S., & Choi, J. (2012). Combining relevancy and methodological quality into a single ranking for evidence-based medicine. Information Sciences, 214, 76-90.
  22. Byun, H. J., Lee, H. J., Yang, J. I., Kim, K. H., Park, K. O., Park, S. M., … & Cho, K. H. (2012). Daily skin care habits and the risk of skin eruptions and symptoms in cancer patients. Annals of oncology, 23(8), 1992-1998.
  23. Ryu, B., & Choi, J. (2012). An evaluation of multiple query representations for the relevance judgments used to build a biomedical test collection. Healthcare informatics research, 18(1), 65-73.
  24. Kim, S., & Choi, J. (2012). Improving the performance of text categorization models used for the selection of high quality articles. Healthcare informatics research, 18(1), 18-28.
  25. Kim, Y., & Choi, J. (2011). Recognizing temporal information in Korean clinical narratives through text normalization. Healthcare informatics research, 17(3), 150-155.
  26. Kim, Y., Yoo, S., Han, C., Kim, S., Shin, J., & Choi, J. (2011). Evaluation of unconstrained monitoring technology used in the smart bed for u-Health environment. Telemedicine and e-Health, 17(6), 435-441.
  27. Yoo, S., & Choi, J. (2011). Evaluation of term ranking algorithms for pseudo-relevance feedback in MEDLINE retrieval. Healthcare informatics research, 17(2), 120-130.
  28. Han, C., Yoo, S., & Choi, J. (2011). Evaluation of co-occurring terms in clinical documents using latent semantic indexing. Healthcare informatics research, 17(1), 24-28.
  29. Choi, J., Kim, J. W., Seo, J. W., Chung, C. K., Kim, K. H., Kim, J. H., … & Lee, H. J. (2010). Implementation of consolidated HIS: improving quality and efficiency of healthcare. Healthcare informatics research, 16(4), 299-304.
  30. Yoo, S., & Choi, J. (2010). On the query reformulation technique for effective MEDLINE document retrieval. Journal of biomedical informatics, 43(5), 686-693.