| Deep learning-based phase prediction of high-entropy alloys: Optimization, generation, and explanation SY Lee, S Byeon, HS Kim, H Jin, S Lee Materials & Design 197, 109260, 2021 | 169 | 2021 |
| Vision-based fault diagnostics using explainable deep learning with class activation maps KH Sun, H Huh, BA Tama, SY Lee, JH Jung, S Lee IEEE Access 8, 129169-129179, 2020 | 82 | 2020 |
| Steel surface defect diagnostics using deep convolutional neural network and class activation map SY Lee, BA Tama, SJ Moon, S Lee Applied Sciences 9 (24), 5449, 2019 | 82 | 2019 |
| Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL‐PACT) S Choi*, J Yang*, SY Lee*, J Kim, J Lee, WJ Kim, S Lee, C Kim Advanced Science 10 (1), 2202089, 2023 | 79 | 2023 |
| Deep learning-based method for multiple sound source localization with high resolution and accuracy SY Lee, J Chang, S Lee Mechanical Systems and Signal Processing 161, 107959, 2021 | 69 | 2021 |
| Applications of deep learning for fault detection in industrial cold forging A Glaeser, V Selvaraj, S Lee, Y Hwang, K Lee, N Lee, S Lee, S Min International Journal of Production Research 59 (16), 4826-4835, 2021 | 49 | 2021 |
| Deep learning-enabled high-resolution and fast sound source localization in spherical microphone array system SY Lee, J Chang, S Lee IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 32 | 2022 |
| Deep learning-based estimation of the unknown road profile and state variables for the vehicle suspension system G Kim, SY Lee, JS Oh, S Lee IEEE Access 9, 13878-13890, 2021 | 28 | 2021 |
| Spatial and sequential deep learning approach for predicting temperature distribution in a steel-making continuous casting process SY Lee, BA Tama, C Choi, JY Hwang, J Bang, S Lee Ieee Access 8, 21953-21965, 2020 | 28 | 2020 |
| Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells K Park, JY Lee, SY Lee, I Jeong, SY Park, JW Kim, SA Nam, HW Kim, ... Kidney Research and Clinical Practice 42 (1), 75, 2022 | 22 | 2022 |
| A Physics-informed and data-driven deep learning approach for wave propagation and its scattering characteristics SY Lee, CS Park, K Park, HJ Lee, S Lee Engineering with Computers 39 (4), 2609-2625, 2023 | 14 | 2023 |
| A systematic mapping study and empirical comparison of data-driven intrusion detection techniques in industrial control networks BA Tama, SY Lee, S Lee Archives of Computational Methods in Engineering 29 (7), 5353-5380, 2022 | 12 | 2022 |
| Predicting multipotency of human adult stem cells derived from various donors through deep learning H Kim, K Park, JM Yon, SW Kim, SY Lee, I Jeong, J Jang, S Lee, DW Cho Scientific Reports 12 (1), 21614, 2022 | 10 | 2022 |
| Remote machine mode detection in cold forging using vibration signal A Glaeser, V Selvaraj, K Lee, N Lee, Y Hwang, S Lee, S Lee, S Min Procedia Manufacturing 48, 908-914, 2020 | 10 | 2020 |
| Wafer map failure pattern classification using geometric transformation-invariant convolutional neural network I Jeong, SY Lee, K Park, I Kim, H Huh, S Lee Scientific Reports 13 (1), 8127, 2023 | 8 | 2023 |
| Deep learning-based prediction and interpretability of physical phenomena for metaporous materials SY Lee, J Lee, JS Lee, S Lee Materials Today Physics 30, 100946, 2023 | 8 | 2023 |
| Acoustic source localization for single point source using convolutional neural network and weighted frequency loss SY Lee, S Lee, JH Jung INTER-NOISE and NOISE-CON congress and conference proceedings 261 (1), 5674-5681, 2020 | 8 | 2020 |
| An overview of deep learning techniques for fault detection using vibration signal BA Tama, SY Lee, S Lee INTER-NOISE and NOISE-CON Congress and Conference Proceedings 261 (1), 5701-5706, 2020 | 4 | 2020 |
| Deep learning-enhanced single point sound source localization for spherical microphone array SY Lee, J Chang, S Lee INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263 (4), 2279-2283, 2021 | 2 | 2021 |
| Improvement of spatiotemporal resolution based on deep learning in 3D photoacoustic tomography S Choi*, J Yang*, SY Lee*, J Kim, B Park, S Lee, C Kim Opto-Acoustic Methods and Applications in Biophotonics VI 12631, 17-23, 2023 | 1 | 2023 |
