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  Decremental effect of non-host humoral milieu interfacing viral envelope on the RNA level and surface antigenicity of hepatitis C virus (HCV) in vitro

  Lee, H. J., Shin, B. Y., Moon, J. S., Ho, C. C., Shin, J. S., Kim, S. K. & Lee, S. K., 2019 Jul 1, In: Molecular and Cellular Toxicology. 15, 3, p. 239-244 6 p.

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

• Decrement of postprandial insulin secretion determines the progressive nature of type-2 diabetes

  Shim, W. S., Kim, S. K., Kim, H. J., Kang, E. S., Ahn, C. W., Lim, S. K., Lee, H. C. & Cha, B. S., 2006 Oct, In: European Journal of Endocrinology. 155, 4, p. 615-622 8 p.

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

  Open Access
  24 Citations (Scopus)

• Decrosslinking reaction kinetics of silane-crosslinked polyethylene in sub- and supercritical fluids

  Baek, B. K., La, Y. H., Lee, A. S., Han, H., Kim, S. H., Hong, S. M. & Koo, C. M., 2016 Aug 1, In: Polymer Degradation and Stability. 130, p. 103-108 6 p.

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

• Decursin and decursinol from Angelica gigas inhibit the lung metastasis of murine colon carcinoma

  Son, S. H., Park, K. K., Park, S. K., Kim, Y. C., Kim, Y. S., Lee, S. K. & Chung, W. Y., 2011 Jul, In: Phytotherapy Research. 25, 7, p. 959-964 6 p.

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

• Decursin and decursinol inhibit VEGF-induced angiogenesis by blocking the activation of extracellular signal-regulated kinase and c-Jun N-terminal kinase

  Son, S. H., Kim, M. J., Chung, W. Y., Son, J. A., Kim, Y. S., Kim, Y. C., Kang, S. S., Lee, S. K. & Park, K. K., 2009 Jul 18, In: Cancer Letters. 280, 1, p. 86-92 7 p.

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

• Decursin inhibits growth of human bladder and colon cancer cells via apoptosis, G1-phase cell cycle arrest and extracellular signal-regulated kinase activation

  Kim, W. J., Lee, S. J., Choi, Y. D. & Moon, S. K., 2010, In: International journal of molecular medicine. 25, 4, p. 635-641 7 p.

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

• Decussation patterns of the platysma in Koreans

  Kim, H. J., Hu, K. S., Kang, M. K., Chung, I. H. & Hwang, K., 2001, In: British Journal of Plastic Surgery. 54, 5, p. 400-402 3 p.

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

• Dedifferentiated Mesonephric-like Adenocarcinoma of the Uterine Corpus

  Choi, S., Na, K., Kim, S. W. & Kim, H. S., 2021 May, In: Anticancer research. 41, 5, p. 2719-2726 8 p.

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

• Dedifferentiated Schwann cells secrete progranulin that enhances the survival and axon growth of motor neurons

  Hyung, S., Im, S. K., Lee, B. Y., Shin, J., Park, J. C., Lee, C., Suh, J. K. F. & Hur, E. M., 2019 Feb, In: Glia. 67, 2, p. 360-375 16 p.

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

• Deductive query processing with an object-oriented semantic network in a massively parallel environment

  Oh, S. H. & Lee, W. S., 2004, In: International Journal of Computers and Applications. 26, 2, p. 85-95 11 p.

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

• Deep Autoencoder Based CSI Feedback with Feedback Errors and Feedback Delay in FDD Massive MIMO Systems

  Jang, Y., Kong, G., Jung, M., Choi, S. & Kim, I. M., 2019 Jun, In: IEEE Wireless Communications Letters. 8, 3, p. 833-836 4 p., 8625537.

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

• Deep blue energy harvest photovoltaic switching by heptazole-based organic Schottky diode circuits

  Lee, J., Raza, S. R. A., Jeon, P. J., Kim, J. S. & Im, S., 2016 Jun 10, In: NPG Asia Materials. 8, 6, e278.

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

  Open Access
  6 Citations (Scopus)

• Deep brain stimulation for refractory obsessive-compulsive disorder (OCD): emerging or established therapy?

  Wu, H., Hariz, M., Visser-Vandewalle, V., Zrinzo, L., Coenen, V. A., Sheth, S. A., Bervoets, C., Naesström, M., Blomstedt, P., Coyne, T., Hamani, C., Slavin, K., Krauss, J. K., Kahl, K. G., Taira, T., Zhang, C., Sun, B., Toda, H., Schlaepfer, T., Chang, J. W., & 35 othersRégis, J., Schuurman, R., Schulder, M., Doshi, P., Mosley, P., Poologaindran, A., Lázaro-Muñoz, G., Pepper, J., Schechtmann, G., Fytagoridis, A., Huys, D., Gonçalves-Ferreira, A., D’Haese, P. F., Neimat, J., Broggi, G., Vilela-Filho, O., Voges, J., Alkhani, A., Nakajima, T., Richieri, R., Djurfeldt, D., Fontaine, P., Martinez-Alvarez, R., Okamura, Y., Chandler, J., Watanabe, K., Barcia, J. A., Reneses, B., Lozano, A., Gabriëls, L., De Salles, A., Halpern, C. H., Matthews, K., Fins, J. J. & Nuttin, B., 2021 Jan, In: Molecular Psychiatry. 26, 1, p. 60-65 6 p.

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

  Open Access
  35 Citations (Scopus)

• Deep-cARe: Projection-based home care augmented reality system with deep learning for elderly

  Park, Y. J., Ro, H., Lee, N. K. & Han, T. D., 2019 Sept 1, In: Applied Sciences (Switzerland). 9, 18, 3897.

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

  Open Access
  12 Citations (Scopus)

• Deep Cascade Network for Noise-Robust SAR Ship Detection With Label Augmentation

  Choi, K., Song, T., Kim, S., Jang, H., Ha, N. & Sohn, K., 2022, In: IEEE Geoscience and Remote Sensing Letters. 19, 4514005.

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

• Deep character-level anomaly detection based on a convolutional autoencoder for zero-day phishing url detection

  Bu, S. J. & Cho, S. B., 2021 Jun 2, In: Electronics (Switzerland). 10, 12, 1492.

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

  Open Access
  9 Citations (Scopus)

• Deep CNN-Based Blind Image Quality Predictor

  Kim, J., Nguyen, A. D. & Lee, S., 2019 Jan, In: IEEE Transactions on Neural Networks and Learning Systems. 30, 1, p. 11-24 14 p., 8383698.

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

• Deep CNN transferred from VAE and GAN for classifying irritating noise in automobile

  Kim, J. Y. & Cho, S. B., 2021 Sept 10, In: Neurocomputing. 452, p. 395-403 9 p.

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

• Deep Concatenated Residual Network with Bidirectional LSTM for One-Hour-Ahead Wind Power Forecasting

  Ko, M. S., Lee, K., Kim, J. K., Hong, C. W., Dong, Z. Y. & Hur, K., 2021 Apr, In: IEEE Transactions on Sustainable Energy. 12, 2, p. 1321-1335 15 p., 9290065.

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

  Open Access
  41 Citations (Scopus)

• Deep Convection Along the Continental Slope in the East/Japan Sea: A Large-Eddy Simulation Study

  Kim, B. G., Cho, Y. K. & Noh, Y., 2022 Feb 28, In: Frontiers in Marine Science. 9, 824256.

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

  Open Access

• Deep convolutional neural models for picture-quality prediction: Challenges and solutions to data-driven image quality assessment

  Kim, J., Zeng, H., Ghadiyaram, D., Lee, S., Zhang, L. & Bovik, A. C., 2017 Nov, In: IEEE Signal Processing Magazine. 34, 6, p. 130-141 12 p., 8103112.

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

• Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound

  Ko, S. Y., Lee, J. H., Yoon, J. H., Na, H., Hong, E., Han, K., Jung, I., Kim, E. K., Moon, H. J., Park, V. Y., Lee, E. & Kwak, J. Y., 2019 Apr, In: Head and Neck. 41, 4, p. 885-891 7 p.

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

• Deep Cooperative Sensing: Cooperative Spectrum Sensing Based on Convolutional Neural Networks

  Lee, W., Kim, M. & Cho, D. H., 2019 Mar, In: IEEE Transactions on Vehicular Technology. 68, 3, p. 3005-3009 5 p., 8604101.

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

• Deep eutectic solvent-assisted synthesis of RuCo₂O₄: An efficient positive electrode for hybrid supercapacitors

  Karade, S. S., Lalwani, S., Eum, J. H. & Kim, H., 2020 Jun, In: Sustainable Energy and Fuels. 4, 6, p. 3066-3076 11 p.

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

• Deep GALEX imaging of the COSMOS HST field: A first look at the morphology of z ∼ 0.7 star-forming galaxies

  Zamojski, M. A., Schiminovich, D., Rich, R. M., Mobasher, B., Koekemoer, A. M., Capak, P., Taniguchi, Y., Sasaki, S. S., Mccracken, H. J., Mellier, Y., Bertin, E., Aussel, H., Sanders, D. B., Le Fèvre, O., Ilbert, O., Salvato, M., Thompson, D. J., Kartaltepe, J. S., Scoville, N., Barlow, T. A., & 17 othersForster, K., Friedman, P. G., Martin, D. C., Morrissey, P., Neff, S. G., Seibert, M., Small, T., Wyder, T. K., Bianchi, L., Donas, J., Heckman, T. M., Lee, Y. W., Madore, B. F., Milliard, B., Szalay, A. S., Welsh, B. Y. & Yi, S. K., 2007, In: Astrophysical Journal, Supplement Series. 172, 1, p. 468-493 26 p.

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

  Open Access
  150 Citations (Scopus)

• DeepGate: Global-local decomposition for multivariate time series modeling

  Park, J., Park, C., Choi, J. & Park, S., 2022 Apr, In: Information sciences. 590, p. 158-178 21 p.

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

• Deep Image Deblurring: A Survey

  Zhang, K., Ren, W., Luo, W., Lai, W. S., Stenger, B., Yang, M. H. & Li, H., 2022 Sept, In: International Journal of Computer Vision. 130, 9, p. 2103-2130 28 p.

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

• Deep intermediate-band surface photometry of NGC 5907

  Zheng, Z., Shang, Z., Su, H., Burstein, D., Chen, J., Deng, Z., Byun, Y. I., Chen, R., Chen, W. P., Deng, L., Fan, X., Fang, L. Z., Hester, J. J., Jiang, Z., Li, Y., Lin, W., Sun, W. H., Tsay, W. S., Windhorst, R. A., Wu, H., & 9 othersXia, X., Xu, W., Xue, S., Yan, H., Zheng, Z., Zhou, X., Zhu, J., Zou, Z. & Lu, P., 1999 Jun, In: Astronomical Journal. 117, 6, p. 2757-2780 24 p.

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

• Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors

  Jun, Y., Eo, T., Kim, T., Shin, H., Hwang, D., Bae, S. H., Park, Y. W., Lee, H. J., Choi, B. W. & Ahn, S. S., 2018 Dec 1, In: Scientific reports. 8, 1, 9450.

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

  Open Access
  27 Citations (Scopus)

• Deep learned finite elements

  Jung, J., Yoon, K. & Lee, P. S., 2020 Dec 1, In: Computer Methods in Applied Mechanics and Engineering. 372, 113401.

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

• Deep-learned short tau inversion recovery imaging using multi-contrast MR images

  Kim, S., Jang, H., Jang, J., Lee, Y. H. & Hwang, D., 2020 Dec 1, In: Magnetic Resonance in Medicine. 84, 6, p. 2994-3008 15 p.

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

• Deep-learned spike representations and sorting via an ensemble of auto-encoders

  Eom, J., Park, I. Y., Kim, S., Jang, H., Park, S., Huh, Y. & Hwang, D., 2021 Feb, In: Neural Networks. 134, p. 131-142 12 p.

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

• Deep Learning-Aided Distributed Transmit Power Control for Underlay Cognitive Radio Network

  Lee, W. & Lee, K., 2021 Apr, In: IEEE Transactions on Vehicular Technology. 70, 4, p. 3990-3994 5 p., 9384291.

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

• Deep-Learning-Aided RF Fingerprinting for NFC Security

  Lee, W., Baek, S. Y. & Kim, S. H., 2021 May, In: IEEE Communications Magazine. 59, 5, p. 96-101 6 p., 9446687.

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

• Deep Learning-Aided SCMA

  Kim, M., Kim, N. I., Lee, W. & Cho, D. H., 2018 Apr, In: IEEE Communications Letters. 22, 4, p. 720-723 4 p.

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

• Deep Learning Algorithms for Predicting Breslow Thickness from Dermoscopic Images of Acral Lentiginous Melanomas

  Chu, Y. S., Lee, S., Lee, S. G., Chung, K. Y., Roh, M. R., Yang, S. & Oh, B., 2022 Aug, In: Journal of Investigative Dermatology. 142, 8, p. 2268-2271.e2

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

• Deep learning algorithms with demographic information help to detect tuberculosis in chest radiographs in annual workers’ health examination data

  Heo, S. J., Kim, Y., Yun, S., Lim, S. S., Kim, J., Nam, C. M., Park, E. C., Jung, I. & Yoon, J. H., 2019 Jan 2, In: International journal of environmental research and public health. 16, 2, 250.

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

  Open Access
  58 Citations (Scopus)

• Deep learning approach for enhanced detection of surface plasmon scattering

  Moon, G., Son, T., Lee, H. & Kim, D., 2019 Aug 6, In: Analytical Chemistry. 91, 15, p. 9538-9545 8 p.

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

• Deep Learning Approach to Generate a Synthetic Cognitive Psychology Behavioral Dataset

  Choi, J. G., Nah, Y., Ko, I. & Han, S., 2021, In: IEEE Access. 9, p. 142489-142505 17 p.

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

  Open Access

• Deep learning-assisted active noise control in a time-varying environment

  Im, S., Kim, S., Woo, S., Jang, I., Han, T., Hwang, U., Ohm, W. S. & Lee, M., 2023, (Accepted/In press) In: Journal of Mechanical Science and Technology.

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

• Deep-Learning-Assisted Wireless-Powered Secure Communications with Imperfect Channel State Information

  Lee, W., Lee, K. & Quek, T. Q. S., 2022 Jul 1, In: IEEE Internet of Things Journal. 9, 13, p. 11464-11476 13 p.

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

• Deep learning-based artificial intelligence for mammography

  Yoon, J. H. & Kim, E. K., 2021, In: Korean journal of radiology. 22, 8, p. 1225-1239 15 p.

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

• Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs

  Rim, T. H., Lee, C. J., Tham, Y. C., Cheung, N., Yu, M., Lee, G., Kim, Y., Ting, D. S. W., Chong, C. C. Y., Choi, Y. S., Yoo, T. K., Ryu, I. H., Baik, S. J., Kim, Y. A., Kim, S. K., Lee, S. H., Lee, B. K., Kang, S. M., Wong, E. Y. M., Kim, H. C., & 4 othersKim, S. S., Park, S., Cheng, C. Y. & Wong, T. Y., 2021 May, In: The Lancet Digital Health. 3, 5, p. e306-e316

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

  Open Access
  39 Citations (Scopus)

• Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses

  Kim, S. Y., Choi, Y., Kim, E. K., Han, B. K., Yoon, J. H., Choi, J. S. & Chang, J. M., 2021 Dec, In: Scientific reports. 11, 1, 395.

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

  Open Access
  18 Citations (Scopus)

• Deep-Learning-Based Deconvolution of Mechanical Stimuli with Ti₃C₂T_xMXene Electromagnetic Shield Architecture via Dual-Mode Wireless Signal Variation Mechanism

  Lee, G. H., Lee, G. S., Byun, J., Yang, J. C., Jang, C., Kim, S., Kim, H., Park, J. K., Lee, H. J., Yook, J. G., Kim, S. O. & Park, S., 2020 Sept 22, In: ACS Nano. 14, 9, p. 11962-11972 11 p.

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

• Deep learning-based efficient metamodeling via domain knowledge-integrated designable data augmentation with transfer learning: application to vehicle crash safety

  Yoo, Y., Park, C. K. & Lee, J., 2022 Jul, In: Structural and Multidisciplinary Optimization. 65, 7, 189.

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

• Deep Learning-Based Energy Efficient Resource Allocation for Underlay Cognitive MISO Interference Channels

  Lee, W. & Lee, K., 2022, (Accepted/In press) In: IEEE Transactions on Cognitive Communications and Networking. p. 1 1 p.

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

• Deep learning-based extraction of predicate-argument structure (PAS) in building design rule sentences

  Song, J., Lee, J. K., Choi, J. & Kim, I., 2020 Oct 1, In: Journal of Computational Design and Engineering. 7, 5, p. 563-576 14 p.

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

  Open Access
  11 Citations (Scopus)

• Deep learning-based image super-resolution considering quantitative and perceptual quality

  Choi, J. H., Kim, J. H., Cheon, M. & Lee, J. S., 2020 Jul 20, In: Neurocomputing. 398, p. 347-359 13 p.

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

• Deep Learning-Based mmWave Beam Selection for 5G NR/6G with Sub-6 GHz Channel Information: Algorithms and Prototype Validation

  Sim, M. S., Lim, Y. G., Park, S. H., Dai, L. & Chae, C. B., 2020, In: IEEE Access. 8, p. 51634-51646 13 p., 9034044.

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

  Open Access
  75 Citations (Scopus)