• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20032021

Research activity per year

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  • 2019

    Deep learning-based stenosis quantification from coronary CT angiography

    Hong, Y., Commandeur, F., Cadet, S., Goeller, M., Doris, M. K., Chen, X., Kwiecinski, J., Berman, D. S., Slomka, P. J., Chang, H. J. & Dey, D., 2019, Medical Imaging 2019: Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, 109492I. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10949).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Citations (Scopus)
  • Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI

    Jang, Y., Kim, S., Shim, H. & Chang, H. J., 2019, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Li, S., McLeod, K., Young, A., Rhode, K., Pop, M., Zhao, J., Sermesant, M. & Mansi, T. (eds.). Springer Verlag, p. 476-483 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)
  • 2018

    Automatic segmentation of LV and RV in cardiac MRI

    Jang, Y., Hong, Y., Ha, S., Kim, S. & Chang, H. J., 2018, Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Revised Selected Papers. Bernard, O., Jodoin, P-M., Zhuang, X., Yang, G., Young, A., Sermesant, M., Lalande, A. & Pop, M. (eds.). Springer Verlag, p. 161-169 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10663 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    32 Citations (Scopus)
  • Calcium removal from cardiac ct images using deep convolutional neural network

    Yan, S., Shi, F., Chen, Y., Dey, D., Lee, S. E., Chang, H. J., Li, D. & Xie, Y., 2018 May 23, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 466-469 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Deep learning based coronary artery motion artifact compensation using style-transfer synthesis in ct images

    Jung, S., Lee, S., Jeon, B., Jang, Y. & Chang, H. J., 2018, Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Goksel, O., Oguz, I., Gooya, A. & Burgos, N. (eds.). Springer Verlag, p. 100-110 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11037 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)
  • Fully automatic segmentation of coronary arteries based on deep neural network in intravascular ultrasound images

    Kim, S., Jang, Y., Jeon, B., Hong, Y., Shim, H. & Chang, H., 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018. Lee, S-L., Trucco, E., Maier-Hein, L., Moriconi, S., Albarqouni, S., Jannin, P., Balocco, S., Zahnd, G., Mateus, D., Taylor, Z., Demirci, S., Stoyanov, D., Sznitman, R., Martel, A., Cheplygina, V., Granger, E. & Duong, L. (eds.). Springer Verlag, p. 161-168 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11043 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    14 Citations (Scopus)
  • 2017

    A method for classifying medical images using transfer learning: A pilot study on histopathology of breast cancer

    Chang, J., Yu, J., Han, T., Chang, H. J. & Park, E., 2017 Dec 14, 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services, Healthcom 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-4 4 p. (2017 IEEE 19th International Conference on e-Health Networking, Applications and Services, Healthcom 2017; vol. 2017-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    61 Citations (Scopus)
  • Coronary luminal and wall mask prediction using convolutional neural network

    Hong, Y., Hong, Y. M., Jang, Y., Kim, S., Jeon, B., Jung, S., Ha, S., Han, D., Shim, H. & Chang, H. J., 2017 Jun 15, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 1049-1052 4 p. 7950696. (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)
  • Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field

    Park, T., Shin, S. Y., Hong, Y., Lee, S., Chang, H. J. & Yun, I. D., 2017, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. & Krol, A. (eds.). SPIE, 101371W. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10137).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2016

    Smart Refrigerator for healthcare using food image classification

    Kwon, T., Park, E. & Chang, H., 2016 Oct 2, ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, p. 483-484 2 p. (ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)