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• Automatic cystocele severity grading in transperineal ultrasound by random forest regression

  Ni, D., Ji, X., Wu, M., Wang, W., Deng, X., Hu, Z., Wang, T., Shen, D., Cheng, J. Z. & Wang, H., 2017 Mar 1, In: Pattern Recognition. 63, p. 551-560 10 p.

  Research output: Contribution to journal › Article › peer-review
  8 Citations (Scopus)

• Automatic cystocele severity grading in ultrasound by spatio-temporal regression

  Ni, D., Ji, X., Gao, Y., Cheng, J. Z., Wang, H., Qin, J., Lei, B., Wang, T., Wu, G. & Shen, D., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Unal, G., Ourselin, S., Joskowicz, L., Sabuncu, M. R. & Wells, W. (eds.). Springer Verlag, p. 247-255 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation

  Qin, T., Wang, Z., He, K., Shi, Y., Gao, Y. & Shen, DI., 2020 May, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1419-1423 5 p. 9053403. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Automatic data processing system for integrated cost and schedule control of excavation works in NATM tunnels

  Cho, D., Cho, H. & Kim, D., 2014, In: Journal of Civil Engineering and Management. 20, 1, p. 132-141 10 p.

  Research output: Contribution to journal › Article › peer-review
  3 Citations (Scopus)

• Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN

  Lang, Y., Wang, L., Yap, P. T., Lian, C., Deng, H., Thung, K. H., Xiao, D., Yuan, P., Shen, S. G. F., Gateno, J., Kuang, T., Alfi, D. M., Xia, J. J. & Shen, D., 2019, Graph Learning in Medical Imaging - 1st International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings. Zhang, D., Zhou, L., Jie, B. & Liu, M. (eds.). Springer, p. 130-137 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11849 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks

  Khan, M. A., Kwon, S., Choo, J., Hong, S. M., Kang, S. H., Park, I. H., Kim, S. K. & Hong, S. J., 2020 Jun 1, In: Neural Networks. 126, p. 384-394 11 p.

  Research output: Contribution to journal › Article › peer-review
  15 Citations (Scopus)

• Automatic diagnosis and correction of logical errors for functional programming assignments

  Lee, J., Song, D., So, S. & Oh, H., 2018 Nov, In: Proceedings of the ACM on Programming Languages. 2, OOPSLA, 158.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  6 Citations (Scopus)

• Automatic document processing: A survey

  Tang, Y. Y., Lee, S. W. & Suen, C. Y., 1996 Dec, In: Pattern Recognition. 29, 12, p. 1931-1952 22 p.

  Research output: Contribution to journal › Article › peer-review
  106 Citations (Scopus)

• Automatic emotional expression of a face robot by using a reactive behavior decision model

  Oh, K. G., Jang, M. S. & Kim, S. J., 2010 Mar, In: Journal of Mechanical Science and Technology. 24, 3, p. 769-774 6 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Automatic extraction of HLA-disease interaction information from biomedical literature

  Chae, J. M., Chae, J. E., Lee, T., Jung, Y., Oh, H. & Jung, S., 2009, Advances in Computational Science and Engineering: Second International Conference, FGCN 2008, Workshops and Symposia, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers. Kim, T., Yang, L. T., Park, J. H., Chang, A. C-C., Vasilakos, T., Zhang, Y., Sauveron, D., Wang, X. & Jeong, Y-S. (eds.). p. 219-230 12 p. (Communications in Computer and Information Science; vol. 28).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Automatic extraction of named entities of cyber threats using a deep Bi-LSTM-CRF network

  Kim, G., Lee, C., Jo, J. & Lim, H., 2020, In: International Journal of Machine Learning and Cybernetics. 11, 10, p. 2341-2355 15 p.

  Research output: Contribution to journal › Article › peer-review
  10 Citations (Scopus)

• Automatic extraction of sulcal lines on cortical surfaces based on anisotropic geodesic distance

  Seong, J. K., Im, K., Yoo, S. W., Seo, S. W., Na, D. L. & Lee, J. M., 2010 Jan 1, In: NeuroImage. 49, 1, p. 293-302 10 p.

  Research output: Contribution to journal › Article › peer-review
  24 Citations (Scopus)

• Automatic extraction of user's search intention from web search logs

  Park, K., Jee, H., Lee, T., Jung, S. & Lim, H., 2012 Nov, In: Multimedia Tools and Applications. 61, 1, p. 145-162 18 p.

  Research output: Contribution to journal › Article › peer-review
  10 Citations (Scopus)

• Automatic facial pore analysis system using multi-scale pore detection

  Sun, J. Y., Kim, S. W., Lee, S. H., Choi, J. E. & Ko, S. J., 2017 Aug, In: Skin Research and Technology. 23, 3, p. 354-362 9 p.

  Research output: Contribution to journal › Article › peer-review
  10 Citations (Scopus)

• Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision

  Lou, J., Li, D., Bui, T. D., Zhao, F., Sun, L., Li, G. & Shen, D., 2019 Jan 1, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). Springer, p. 592-600 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Automatic Generation of Finite Element Meshes on Poorly Parameterized Surfaces

  Chae, S. W., Park, J. M. & Choi, Y., 2004, In: Computer-Aided Design and Applications. 1, 1-4, p. 733-739 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Automatic generation of goal-tree from statecharts requirements specification

  Yoo, J., Cha, S. & Son, H. S., 2003, In: Transactions of the American Nuclear Society. 88, 1 p.

  Research output: Contribution to journal › Conference article › peer-review
  3 Citations (Scopus)

• Automatic generation of structured hyperdocuments from document images

  Lee, J. Y., Park, J. S., Byun, H., Moon, J. & Lee, S. W., 2002 Feb, In: Pattern Recognition. 35, 2, p. 485-503 19 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Automatic generation of structured hyperdocuments from multi-column document images

  Lee, J. Y., Choi, S. H. & Lee, S. W., 2000, In: Proceedings - International Conference on Pattern Recognition. 15, 4, p. 422-425 4 p.

  Research output: Contribution to journal › Article › peer-review

• Automatic generation of tetrahedral meshes from medical images

  Kwon, G. H., Chae, S. W. & Lee, K. J., 2003 May, In: Computers and Structures. 81, 8-11, p. 765-775 11 p.

  Research output: Contribution to journal › Article › peer-review
  19 Citations (Scopus)

• Automatic gesture recognition for intelligent human-robot interaction

  Lee, S. W., 2006, FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition. p. 645-650 6 p. 1613091. (FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition; vol. 2006).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  50 Citations (Scopus)

• Automatic hippocampal subfield segmentation from 3T multi-modality images

  Wu, Z., Gao, Y., Shi, F., Jewells, V. & Shen, D., 2016, Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Wang, L., Suk, H-I., Shi, Y., Adeli, E. & Wang, Q. (eds.). Springer Verlag, p. 229-236 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Automatic hippocampus labeling using the hierarchy of sub-region random forests

  Zhang, L., Wang, Q., Gao, Y., Wu, G. & Shen, D., 2015, Patch-Based Techniques in Medical Imaging - First st International Workshop, Patch-MI 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. Coupé, P., Munsell, B., Wu, G., Zhan, Y. & Rueckert, D. (eds.). Springer Verlag, p. 19-27 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9467).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Automatic hippocampus segmentation of 7.0Tesla MR images by combining multiple atlases and auto-context models

  Kim, M., Wu, G., Li, W., Wang, L., Son, Y. D., Cho, Z. H. & Shen, D., 2013 Dec, In: NeuroImage. 83, p. 335-345 11 p.

  Research output: Contribution to journal › Article › peer-review
  37 Citations (Scopus)

• Automatic Identification of Excavator Activities Using Joystick Signals

  Bae, J., Kim, K. & Hong, D., 2019 Dec 1, In: International Journal of Precision Engineering and Manufacturing. 20, 12, p. 2101-2107 7 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Automatic judgement of online video watching: I know whether or not you watched

  Yi, E., Lim, H. & Jo, J., 2020 Oct, In: Mathematics. 8, 10, p. 1-19 19 p., 1827.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Automatic labeling of MR brain images by hierarchical learning of atlas forests

  Zhang, L., Wang, Q., Gao, Y., Wu, G. & Shen, D., 2016 Mar, In: Medical physics. 43, 3, 023103.

  Research output: Contribution to journal › Article › peer-review
  26 Citations (Scopus)

• Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network

  Lang, Y., Lian, C., Xiao, D., Deng, H., Yuan, P., Gateno, J., Shen, S. G. F., Alfi, D. M., Yap, P. T., Xia, J. J. & Shen, D., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 817-826 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Automatic logo transition detection in digital video contents

  Lu, C. Y., Roh, M. C., Kang, S. Y. & Lee, S. W., 2012 May, In: Pattern Analysis and Applications. 15, 2, p. 175-187 13 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Automatic microarray image segmentation based on watershed transformation

  Park, C. B., Lee, K. W. & Lee, S. W., 2004, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Kittler, J., Petrou, M. & Nixon, M. (eds.). p. 786-789 4 p. (Proceedings - International Conference on Pattern Recognition; vol. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Automatic monitoring of service reliability for web applications: a simulation-based approach

  Kim, S., Suh, I. & Chung, Y. D., 2020 Sep 1, In: Software Testing Verification and Reliability. 30, 6, e1747.

  Research output: Contribution to journal › Article › peer-review

• Automatic moving object segmentation from video sequences using alternate flashing system

  Kim, C-S., Ahn, J. K., Lee, D. Y. & Lee, C., 2010, In: Eurasip Journal on Advances in Signal Processing. 2010, 340717.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Automatic mura inspection using the principal component analysis for the TFT-LCD panel

  Yun, J. W., Gu, H., Kim, D. H., Moon, H. S. & Ko, S. J., 2014 Sep 18, Digest of Technical Papers - IEEE International Conference on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc., p. 109-110 2 p. 6904008. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Citations (Scopus)

• Automatic ontology generation using extended search keywords

  Shim, J. & Lee, H., 2008, Proceedings - International Conference on Next Generation Web Services Practices, NWeSP 2008. p. 97-100 4 p. 4700388. (Proceedings - International Conference on Next Generation Web Services Practices, NWeSP 2008).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Citations (Scopus)

• Automatic page-turning mechanism with near-field electroadhesive force for linearly correctable imaging

  Lee, J., Jeon, W., Cha, Y. & Yang, H., 2017 Dec 13, IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers Inc., p. 279-285 7 p. 8202169. (IEEE International Conference on Intelligent Robots and Systems; vol. 2017-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Automatic parcellation of cortical surfaces using random forests

  Meng, Y., Li, G., Gao, Y. & Shen, D., 2015 Jul 21, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, p. 810-813 4 p. 7163995. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Automatic pedestrian detection and tracking for real-time video surveillance

  Yang, H. D., Sin, B. K. & Lee, S. W., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Kittler, J. & Nixon, M. S. (eds.). Springer Verlag, p. 242-250 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2688).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  2 Citations (Scopus)

• Automatic pharyngeal phase recognition in untrimmed videofluoroscopic swallowing study using transfer learning with deep convolutional neural networks

  Lee, K. S., Lee, E., Choi, B. & Pyun, S. B., 2021 Feb, In: Diagnostics. 11, 2, 300.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Automatic physiognomic analysis by classifying facial component features

  Yang, H. D. & Lee, S. W., 2006, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. p. 1212-1215 4 p. 1699427. (Proceedings - International Conference on Pattern Recognition; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  3 Citations (Scopus)

• Automatic player behavior analysis system using trajectory data in a massive multiplayer online game

  Kang, S. J., Kim, Y. B., Park, T. & Kim, C. H., 2013 Oct, In: Multimedia Tools and Applications. 66, 3, p. 383-404 22 p.

  Research output: Contribution to journal › Article › peer-review
  16 Citations (Scopus)

• Automatic Premature Ventricular Contractions Detection for Multi-Lead Electrocardiogram Signal

  Rahhal, M. M. A., Ajlan, N. A., Bazi, Y., Hichri, H. A. & Rabczuk, T., 2018 Oct 18, 2018 IEEE International Conference on Electro/Information Technology, EIT 2018. IEEE Computer Society, p. 169-173 5 p. 8500197. (IEEE International Conference on Electro Information Technology; vol. 2018-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Automatic preprocessing scheme for real-time digital simulation

  Noh, H., Lee, B., Song, J. & Lee, C., 2018 Nov 26, 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018. Institute of Electrical and Electronics Engineers Inc., 8544675. (2018 IEEE Industry Applications Society Annual Meeting, IAS 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Automatic prevention of buffer overflow vulnerability using candidate code generation

  Jang, Y. S. & Choi, J. Y., 2018 Dec, In: IEICE Transactions on Information and Systems. E101D, 12, p. 3005-3018 14 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Automatic prostate cancer detection on multi-parametric mri with hierarchical weakly supervised learning

  Yang, H., Wu, G., Shen, D. & Liao, S., 2021 Apr 13, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 316-319 4 p. 9434108. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Automatic prostate MR image segmentation with sparse label propagation and domain-specific manifold regularization

  Liao, S., Gao, Y., Shi, Y., Yousuf, A., Karademir, I., Oto, A. & Shen, D., 2013 Jul 12, Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Proceedings. p. 511-523 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7917 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  18 Citations (Scopus)

• Automatic quality measurement of gray-scale handwriting based on extended average entropy

  Park, J. S., Kang, H. J. & Lee, S. W., 2000, In: Proceedings - International Conference on Pattern Recognition. 15, 4, p. 426-429 4 p.

  Research output: Contribution to journal › Article › peer-review

  6 Citations (Scopus)

• Automatic recognition of flowers through color and edge based contour detection

  Hong, S. W. & Choi, L., 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012. p. 141-146 6 p. 6469535. (2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  10 Citations (Scopus)

• Automatic reconstruction of multi-level indoor spaces from point cloud and trajectory

  Lim, G. & Doh, N., 2021 May 2, In: Sensors. 21, 10, 3493.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  3 Citations (Scopus)

• Automatic resonance tuning mechanism for ultra-wide bandwidth mechanical energy harvesting

  Shin, Y. H., Choi, J., Kim, S. J., Kim, S., Maurya, D., Sung, T. H., Priya, S., Kang, C. Y. & Song, H. C., 2020 Nov, In: Nano Energy. 77, 104986.

  Research output: Contribution to journal › Article › peer-review
  9 Citations (Scopus)

• Automatic scoring system based on Korean lexico- semantic pattern

  Kim, J. E., Chae, J. M. & Jung, S. Y., 2014, In: International Journal of Applied Engineering Research. 9, 22, p. 14499-14510 12 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)