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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
2 Citations (Scopus) -
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
2 Citations (Scopus) -
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
37 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
Open Access8 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
7 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
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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
510 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 Access6 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
21 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
39 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
Open Access23 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
35 Citations (Scopus) -
Deep Object Tracking With Shrinkage Loss
Lu, X., Ma, C., Shen, J., Yang, X., Reid, I. & Yang, M. H., 2022 May 1, In: IEEE transactions on pattern analysis and machine intelligence. 44, 5, p. 2386-2401 16 p.Research output: Contribution to journal › Article › peer-review
6 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
47 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
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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
5 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
28 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
30 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
397 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
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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
78 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
9 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
10 Citations (Scopus) -
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
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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
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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
57 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
240 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
10 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
44 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
Open Access64 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, , 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) -
Defect activated infrared multiphonon excitation in iron-doped semi-insulating indium phosphide
Peng, L. H., Broekaert, T., Choi, W. Y., Fonstad, C. & Jones, V., 1991, In: Applied Physics Letters. 59, 5, p. 564-566 3 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Defect analyses of selective epitaxial grown GaAs on STI patterned (0 0 1) Si substrates
Kim, S. W., Cho, Y. D., Shin, C. S., Park, W. K., Kim, D. H. & Ko, D. H., 2014 Sep 1, In: Journal of Crystal Growth. 401, p. 319-322 4 p.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
Defect analysis and performance evaluation of p-type epitaxial GaAs layer on Ge substrate for GaAs/Ge based advanced device
Dalapati, G. K., Suresh, V., Chakraborty, S., Mahata, C., Ren, Y., Bhat, T., Tripathy, S., Lee, T., Bera, L. K. & Chi, D., 2016 Jul 1, In: Advanced Materials Letters. 7, 7, p. 517-524 8 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Defect and lattice structure for air-silica index-guiding holey fibers
Kim, S., Jung, Y., Oh, K., Kobelke, J., Schuster, K. & Kirchhof, J., 2006 Jan 15, In: Optics Letters. 31, 2, p. 164-166 3 p.Research output: Contribution to journal › Article › peer-review
22 Citations (Scopus) -
Defect chemistry of Ti and Fe impurities and aggregates in Al 2O3
Bristow, J. K., Tiana, D., Parker, S. C. & Walsh, A., 2014 May 7, In: Journal of Materials Chemistry A. 2, 17, p. 6198-6208 11 p.Research output: Contribution to journal › Article › peer-review
Open Access26 Citations (Scopus) -
Defect control during solid phase epitaxial growth of SiGe alloy layers
Im, S., Washburn, J., Gronsky, R., Cheung, N. W. & Yu, K. M., 1993, In: Applied Physics Letters. 63, 7, p. 929-931 3 p.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus) -
Defect control in As-rich GaAs
Specht, P., Jeong, S., Sohn, H., Luysberg, M., Prasad, A., Gebauer, J., Krause-Rehberg, R. & Weber, E. R., 1997, In: Materials Science Forum. 258-263, PART 2, p. 951-956 6 p.Research output: Contribution to journal › Article › peer-review
28 Citations (Scopus) -
Defect detection in pipelines via guided wave-based time-frequency-domain reflectometry
Bang, S. S., Lee, Y. H. & Shin, Y. J., 2021, In: IEEE Transactions on Instrumentation and Measurement. 70, 9340006.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Defect-Free, Highly Uniform Washable Transparent Electrodes Induced by Selective Light Irradiation
Zhong, Z., Woo, K., Kim, I., Kim, H., Ko, P., Kang, D., Kwon, S., Kim, H., Youn, H. & Moon, J., 2018 May 24, In: Small. 14, 21, 1800676.Research output: Contribution to journal › Article › peer-review
15 Citations (Scopus)