| Classification of the clinical images for benign and malignant cutaneous tumors using a deep learning algorithm SS Han, MS Kim, W Lim, GH Park, I Park, SE Chang Journal of Investigation Dermatology, 2018 | 626 | 2018 |
| Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region … SS Han, GH Park, W Lim, MS Kim, JI Na, I Park, Sung Eun Chang PLOS ONE, 2018 | 252 | 2018 |
| Augmented intelligence dermatology: deep neural networks empower medical professionals in diagnosing skin cancer and predicting treatment options for 134 skin disorders SS Han, I Park, SE Chang, W Lim, MS Kim, GH Park, JB Chae, CH Huh, ... Journal of Investigative Dermatology 140 (9), 1753-1761, 2020 | 168 | 2020 |
| Keratinocytic skin cancer detection on the face using region-based convolutional neural network SS Han, IJ Moon, W Lim, IS Suh, SY Lee, JI Na, SH Kim, SE Chang JAMA dermatology 156 (1), 29-37, 2020 | 114 | 2020 |
| Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study SS Han, IJ Moon, SH Kim, JI Na, MS Kim, GH Park, I Park, K Kim, W Lim, ... PLoS medicine 17 (11), e1003381, 2020 | 35 | 2020 |
| Method and system for supporting a translation-based communication service and terminal supporting the service K Sangki, K Kim, W Lim, K Jung US Patent 9,479,911, 2016 | 29 | 2016 |
| Feature compensation based on switching linear dynamic model NS Kim, W Lim, RM Stern IEEE Signal Processing Letters 12 (6), 473-476, 2005 | 25 | 2005 |
| Interpretation of the outputs of a deep learning model trained with a skin cancer dataset SS Han, W Lim, MS Kim, I Park, GH Park, SE Chang The Journal of investigative dermatology 138 (10), 2275-2277, 2018 | 18 | 2018 |
| Speech reinforcement based on partial specific loudness JW Shin, W Lim, J Sung, NS Kim Eighth Annual Conference of the International Speech Communication Association, 2007 | 10 | 2007 |
| Symbolic Music Loop Generation with Neural Discrete Representations S Han, H Ihm, M Lee, W Lim ISMIR 2022, 2022 | 6 | 2022 |
| Cepstral domain feature compensation based on diagonal approximation W Lim, CW Han, JW Shin, NS Kim 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 6 | 2008 |
| AIX: A high performance and energy efficient inference accelerator on FPGA for a DNN-based commercial speech recognition M Ahn, SJ Hwang, W Kim, S Jung, Y Lee, M Chung, W Lim, Y Kim 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019 | 5 | 2019 |
| Online adaptation using speatransformation space model evolution DK Kim, YJ Kim, WH Lim, NS Kim 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 4 | 2003 |
| Symbolic music loop generation with VQ-VAE S Han, H Ihm, W Lim arXiv preprint arXiv:2111.07657, 2021 | 2 | 2021 |
| Feature compensation incorporating modeling error statistics W Lim, NS Kim IEEE Signal Processing Letters 14 (7), 492-495, 2007 | 2 | 2007 |
| Feature compensation technique for robust speech recognition in noisy environments YJ Kim, HW Kim, W Lim, NS Kim Eighth European Conference on Speech Communication and Technology, 2003 | 2 | 2003 |
| Gradient Surgery for One-shot Unlearning on Generative Model S Bae, S Kim, H Jung, W Lim ICML 2023 Workshop on Generative AI and Law, 2023 | 1 | 2023 |
| Instrument Separation of Symbolic Music by Explicitly Guided Diffusion Model S Han, H Ihm, DH Ahn, W Lim NeurIPS 2022 Workshop Machine Learning for Creativity and Design, 2022 | 1 | 2022 |
| ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Data Generator and Benchmark K Lee, Y Park, HS Jeong, S Hong, D Yoon, S Sohn, M Kim, H Ko, M Lee, ... NeurIPS 2022 Workshop SyntheticData4ML, 2022 | 1 | 2022 |
| Semi-supervised regression with skewed data via adversarially forcing the distribution of predicted values DW Jeong, K Kim, C Park, S Han, W Lim | 1 | 2021 |
Seung Seog HanI Dermatology Clinic在 snu.ac.kr 的电子邮件经过验证
