| Classification of femur fracture in pelvic X-ray images using meta-learned deep neural network C Lee, J Jang, S Lee, YS Kim, HJ Jo, Y Kim Scientific reports 10 (1), 13694, 2020 | 44 | 2020 |
| Automatic disease annotation from radiology reports using artificial intelligence implemented by a recurrent neural network C Lee, Y Kim, YS Kim, J Jang American Journal of Roentgenology 212 (4), 734-740, 2019 | 40 | 2019 |
| Three-dimensional analysis of acetabular orientation using a semi-automated algorithm C Lee, J Jang, HW Kim, YS Kim, Y Kim Computer Assisted Surgery 24 (1), 18-25, 2019 | 18 | 2019 |
| Detection of pneumoperitoneum in the abdominal radiograph images using artificial neural networks M Kim, JS Kim, C Lee, BK Kang European Journal of Radiology Open 8, 100316, 2021 | 11 | 2021 |
| A robust method to extract the anterior pelvic plane from CT volume independent of pelvic pose C Lee, Y Kim, HW Kim, YS Kim, J Jang Computer Assisted Surgery 22 (1), 20-26, 2017 | 6 | 2017 |
| Initial experience of a deep learning application for the differentiation of Kikuchi-Fujimoto’s disease from tuberculous lymphadenitis on neck CECT BH Kim, C Lee, JY Lee, K Tae Scientific Reports 12 (1), 14184, 2022 | 2 | 2022 |
| Look at here: Utilizing supervision to attend subtle key regions C Lee, Y Kim, BG Lee, D Kim, J Jang arXiv preprint arXiv:2111.13233, 2021 | 1 | 2021 |
Jongseong JangLG AI ResearchVerified email at lgresearch.ai
