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• Deep Learning for the Detection of Breast Cancers on Chest Computed Tomography

  Koh, J., Yoon, Y., Kim, S., Han, K. & Kim, E. K., 2021, (Accepted/In press) In: Clinical Breast Cancer.

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

• Deep learning for undersampled MRI reconstruction

  Hyun, C. M., Kim, H. P., Lee, S. M., Lee, S. & Seo, J. K., 2018 Jun 25, In: Physics in medicine and biology. 63, 13, 135007.

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

• Deep learning models for the prediction of intraoperative hypotension

  Lee, S., Lee, H. C., Chu, Y. S., Song, S. W., Ahn, G. J., Lee, H., Yang, S. & Koh, S. B., 2021 Apr, In: British Journal of Anaesthesia. 126, 4, p. 808-817 10 p.

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

• Deep learning of human visual sensitivity in image quality assessment framework

  Kim, J. & Lee, S., 2017 Nov 6, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 1969-1977 9 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

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

• Deep Learning's Diminishing Returns: The Cost of Improvement is Becoming Unsustainable

  Thompson, N. C., Greenewald, K., Lee, K. & Manso, G. F., 2021 Oct 1, In: IEEE Spectrum. 58, 10, p. 50-55 6 p.

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

• Deep learning strategies for critical heat flux detection in pool boiling

  Rassoulinejad-Mousavi, S. M., Al-Hindawi, F., Soori, T., Rokoni, A., Yoon, H., Hu, H., Wu, T. & Sun, Y., 2021 May 25, In: Applied Thermal Engineering. 190, 116849.

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

• Deep-learning system for real-time differentiation between Crohn's disease, intestinal Behçet's disease, and intestinal tuberculosis

  Kim, J. M., Kang, J. G., Kim, S. & Cheon, J. H., 2021 Aug, In: Journal of Gastroenterology and Hepatology (Australia). 36, 8, p. 2141-2148 8 p.

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

• Deep lensing with a twist: E and B modes in a field with multiple lenses

  Bradshaw, A. K., Jee, M. J. & Tyson, J. A., 2019 Jan 1, In: Monthly Notices of the Royal Astronomical Society. 482, 1, p. 1190-1203 14 p.

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

• Deeply aggregated alternating minimization for image restoration

  Kim, Y., Jung, H., Min, D. & Sohn, K., 2017 Nov 6, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 284-292 9 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).

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

• Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method

  Jun, Y., Shin, H., Eo, T., Kim, T. & Hwang, D., 2021 May, In: Medical Image Analysis. 70, 102017.

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

• Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset

  Cho, J., Min, D., Kim, Y. & Sohn, K., 2021 Sep 15, In: Expert Systems with Applications. 178, 114877.

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

• Deep Monocular Depth Estimation via Integration of Global and Local Predictions

  Kim, Y., Jung, H., Min, D. & Sohn, K., 2018 Aug, In: IEEE Transactions on Image Processing. 27, 8, p. 4131-4144 14 p.

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

• Deep near-IR photometry of eight metal-poor globular clusters in the Galactic bulge and halo

  Kim, J. W., Kang, A., Rhee, J., Kim, H. I., Kim, Y. C., Kim, D. G., Chung, C., Han, S. I., Chun, M. S. & Sohn, Y. J., 2006 Nov, In: Astronomy and Astrophysics. 459, 2, p. 499-509 11 p.

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

• Deep network for simultaneous stereo matching and dehazing

  Song, T., Kim, Y., Oh, C. & Sohn, K., 2019.

  Research output: Contribution to conference › Paper › peer-review
  6 Citations (Scopus)

• Deep network for simultaneous stereo matching and dehazing

  Song, T., Kim, Y., Oh, C. & Sohn, K., 2019 Jan 1.

  Research output: Contribution to conference › Paper › peer-review

• Deep networks for saliency detection via local estimation and global search

  Wang, L., Lu, H., Ruan, X. & Yang, M. H., 2015 Oct 14, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 3183-3192 10 p. 7298938. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

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

• Deep neural network approach for prediction of heating energy consumption in old houses

  Lee, S., Cho, S., Kim, S. H., Kim, J., Chae, S., Jeong, H. & Kim, T., 2021 Jan 1, In: Energies. 14, 1, 122.

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

  Open Access
  4 Citations (Scopus)

• Deep neural network-based statistical parametric speech synthesis system using improved time-frequency trajectory excitation model

  Song, E. & Kang, H. G., 2015, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2015-January, p. 874-878 5 p.

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

• Deep neural networks for activity recognition with multi-sensor data in a smart home

  Park, J., Jang, K. & Yang, S. B., 2018 May 4, IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 155-160 6 p. (IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings; vol. 2018-January).

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

• Deep neural networks with weighted spikes

  Kim, J., Kim, H., Huh, S., Lee, J. & Choi, K., 2018 Oct 15, In: Neurocomputing. 311, p. 373-386 14 p.

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

• Deep neuromuscular block improves the surgical conditions for laryngeal microsurgery

  Kim, H. J., Lee, K., Park, W. K., Lee, B. R., Joo, H. M., Koh, Y. W., Seo, Y. W., Kim, W. S. & Yoo, Y. C., 2015 Dec 1, In: British Journal of Anaesthesia. 115, 6, p. 867-872 6 p.

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

• Deep non-blind deconvolution via generalized low-rank approximation

  Ren, W., Zhang, J., Ma, L., Pan, J., Cao, X., Zuo, W., Liu, W. & Yang, M. H., 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 297-307 11 p.

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

• Deep Object Tracking with Shrinkage Loss

  Lu, X., Ma, C., Shen, J., Yang, X., Reid, I. & Yang, M. H., 2020, (Accepted/In press) In: IEEE transactions on pattern analysis and machine intelligence.

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

• Deep regression tracking with shrinkage loss

  Lu, X., Ma, C., Ni, B., Yang, X., Reid, I. & Yang, M. H., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Weiss, Y. & Hebert, M. (eds.). Springer Verlag, p. 369-386 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11218 LNCS).

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

• Deep reinforcement learning-based distributed congestion control in cellular V2X networks

  Choi, J. Y., Jo, H. S., Mun, C. & Yook, J. G., 2021 Nov 1, In: IEEE Wireless Communications Letters. 10, 11, p. 2582-2586 5 p.

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

• Deep reinforcement learning-based task offloading decision in the time varying channel

  Jeong, J., Kim, I. M. & Hong, D., 2021 Jan 31, 2021 International Conference on Electronics, Information, and Communication, ICEIC 2021. Institute of Electrical and Electronics Engineers Inc., 9369737. (2021 International Conference on Electronics, Information, and Communication, ICEIC 2021).

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

• Deep reinforcement learning optimization framework for a power generation plant considering performance and environmental issues

  Adams, D., Oh, D. H., Kim, D. W., Lee, C. H. & Oh, M., 2021 Apr 1, In: Journal of Cleaner Production. 291, 125915.

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

• Deep Resequencing of Ulcerative Colitis-Associated Genes Identifies Novel Variants in Candidate Genes in the Korean Population

  Moon, C. M., Kim, S. W., Ahn, J. B., Ma, H. W., Che, X., Kim, T. I., Kim, W. H. & Cheon, J. H., 2018 Aug 16, In: Inflammatory Bowel Diseases. 24, 9, p. 1706-1717 12 p.

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

• Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis

  Gao, F., Wu, T., Chu, X., Yoon, H., Xu, Y. & Patel, B., 2020 Jan, In: IEEE Journal of Biomedical and Health Informatics. 24, 1, p. 39-49 11 p., 8695110.

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

• Deep residual network with enhanced upscaling module for super-resolution

  Kim, J. H. & Lee, J. S., 2018 Dec 13, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018. IEEE Computer Society, p. 913-921 9 p. 8575276. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2018-June).

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

• DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

  Li, X., Zhao, L., Wei, L., Yang, M. H., Wu, F., Zhuang, Y., Ling, H. & Wang, J., 2016 Aug, In: IEEE Transactions on Image Processing. 25, 8, p. 3919-3930 12 p., 7488288.

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

• Deep Scattering Network with Max-Pooling

  Ki, T. & Hur, Y., 2021 Mar, Proceedings - DCC 2021: 2021 Data Compression Conference. Bilgin, A., Marcellin, M. W., Serra-Sagrista, J. & Storer, J. A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 348 1 p. 9418712. (Data Compression Conference Proceedings; vol. 2021-March).

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

• Deep self-correlation descriptor for dense cross-modal correspondence

  Kim, S., Min, D., Lin, S. & Sohn, K., 2016, Computer Vision - 14th European Conference, ECCV 2016, Proceedings. Leibe, B., Matas, J., Sebe, N. & Welling, M. (eds.). Springer Verlag, p. 679-695 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9912 LNCS).

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

• Deep Semantic Face Deblurring

  Shen, Z., Lai, W. S., Xu, T., Kautz, J. & Yang, M. H., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 8260-8269 10 p. 8578960. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

• Deep Semantic Matching with Foreground Detection and Cycle-Consistency

  Chen, Y. C., Huang, P. H., Yu, L. Y., Huang, J. B., Yang, M. H. & Lin, Y. Y., 2019, Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Jawahar, C. V., Schindler, K., Li, H. & Mori, G. (eds.). Springer Verlag, p. 347-362 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11363 LNCS).

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

• Deep stereo confidence prediction for depth estimation

  Kim, S., Min, D., Ham, B., Kim, S. & Sohn, K., 2018 Feb 20, 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, p. 992-996 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2017-September).

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

• Deep tissue, wide-field multiphoton imaging using TEMPPIX

  Escobet-Montalban, A., Spesyvtsev, R., Chen, M., Saber, W. A., Andrews, M., Herrington, C. S., Mazilu, M. & Dholakia, K., 2018 Aug 6, 2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8426235. (2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings).

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

• Deep tissue, wide-field multiphoton imaging using TEMPPIX

  Escobet-Montalbàn, A., Spesyvtsev, R., Chen, M., Saber, W. A., Andrews, M., Herrington, C. S., Mazilu, M. & Dholakia, K., 2018, CLEO: Applications and Technology, CLEO_AT 2018. OSA - The Optical Society, (Optics InfoBase Conference Papers; vol. Part F92-CLEO_AT 2018).

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

• Deep tissue penetration of radiation: 3D modelling and experiments

  Fischer, P., McWilliam, A., Brown, C. T. A., Wood, K., MacDonald, M., Sibbett, W. & Dholakia, K., 2005, 2005 Conference on Lasers and Electro-Optics Europe. Institute of Electrical and Electronics Engineers Inc., p. 641 1 p. 1568417. (Conference on Lasers and Electro-Optics Europe - Technical Digest).

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

• Deep vein thrombosis after major spinal surgery: Incidence in an east Asian population

  Lee, H. M., Suk, K. S., Moon, S. H., Kim, D. J., Wang, J. M. & Kim, N. H., 2000 Jul 15, In: Spine. 25, 14, p. 1827-1830 4 p.

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

• Deep Video Quality Assessor: From Spatio-Temporal Visual Sensitivity to a Convolutional Neural Aggregation Network

  Kim, W., Kim, J., Ahn, S., Kim, J. & Lee, S., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer Verlag, p. 224-241 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11205 LNCS).

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

• Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

  Jo, Y., Oh, S. W., Kang, J. & Kim, S. J., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 3224-3232 9 p. 8578438. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

• Deep Visual Discomfort Predictor for Stereoscopic 3D Images

  Oh, H., Ahn, S., Lee, S. & Bovik, A. C., 2018 Nov, In: IEEE Transactions on Image Processing. 27, 11, p. 5420-5432 13 p., 8400532.

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

• Deep Visual Saliency on Stereoscopic Images

  Nguyen, A. D., Kim, J., Oh, H., Kim, H., Lin, W. & Lee, S., 2019 Apr, In: IEEE Transactions on Image Processing. 28, 4, p. 1939-1953 15 p., 8520871.

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

• Deep VLA Observations of the Cluster 1RXS J0603.3+4214 in the Frequency Range of 1-2 GHz

  Rajpurohit, K., Hoeft, M., Van Weeren, R. J., Rudnick, L., Röttgering, H. J. A., Forman, W. R., Brüggen, M., Croston, J. H., Andrade-Santos, F., Dawson, W. A., Intema, H. T., Kraft, R. P., Jones, C. & Jee, M. J., 2018 Jan 10, In: Astrophysical Journal. 852, 2, 65.

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

  Open Access
  38 Citations (Scopus)

• Deep vs shallow nature of oxygen vacancies and consequent n -type carrier concentrations in transparent conducting oxides

  Buckeridge, J., Catlow, C. R. A., Farrow, M. R., Logsdail, A. J., Scanlon, D. O., Keal, T. W., Sherwood, P., Woodley, S. M., Sokol, A. A. & Walsh, A., 2018 May 25, In: Physical Review Materials. 2, 5, 054604.

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

• Deep wide-field BVI CCD photometry of the Sextans dwarf spheroidal galaxy

  Lee, M. G., Park, H. S., Park, J. H., Sohn, Y. J., Oh, S. J., Yuk, I. S., Rey, S. C., Lee, S. G., Lee, Y. W., Kim, H. I., Han, W., Park, W. K., Lee, J. H., Jeon, Y. B. & Kim, S. C., 2003 Dec, In: Astronomical Journal. 126, 6 1776, p. 2840-2866 27 p.

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

• Deep wide-field spectrophotometry of the open cluster M67

  Fan, X., Burstein, D., Chen, J. S., Zhu, J., Jiang, Z., Wu, H., Yan, H., Zheng, Z., Zhou, X., Fang, L. Z., Chen, F., Deng, Z., Chu, Y., Hester, J. J., Windhorst, R. A., Li, Y., Lu, P., Sun, W. H., Chen, W. P., Tsay, W. S. & 6 others, Chiueh, T. H., Chou, C. K., Ko, C. M., Lin, T. C., Guo, H. J. & Byun, Y. I., 1996 Aug, In: Astronomical Journal. 112, 2, p. 628-648 21 p.

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

• De-escalation of the cumulative central radiation dose according to the tumor response can reduce rectal toxicity without compromising the treatment outcome in patients with uterine cervical cancer

  Kim, K. H., Kim, S., Kim, G. E., Koom, W. S., Kim, S. W., Nam, E. J., Suh, C. O. & Kim, Y. B., 2015 Dec 1, In: Gynecologic Oncology. 139, 3, p. 439-446 8 p.

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

• Default risk in interest rate derivatives with stochastic volatility

  Kim, B. & Kim, J. H., 2011 Dec, In: Quantitative Finance. 11, 12, p. 1837-1845 9 p.

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