| k-space deep learning for accelerated MRI Y Han, L Sunwoo, JC Ye IEEE transactions on medical imaging, 2019 | 266 | 2019 |
| Deep learning in diagnosis of maxillary sinusitis using conventional radiography Y Kim, KJ Lee, L Sunwoo, D Choi, CM Nam, J Cho, J Kim, YJ Bae, ... Investigative radiology 54 (1), 7-15, 2019 | 78 | 2019 |
| Brain metastasis detection using machine learning: a systematic review and meta-analysis SJ Cho, L Sunwoo, SH Baik, YJ Bae, BS Choi, JH Kim Neuro-oncology 23 (2), 214-225, 2021 | 66 | 2021 |
| Unpaired deep learning for accelerated MRI using optimal transport driven CycleGAN G Oh, B Sim, HJ Chung, L Sunwoo, JC Ye IEEE Transactions on Computational Imaging 6, 1285-1296, 2020 | 65 | 2020 |
| Differentiation of glioblastoma from brain metastasis: qualitative and quantitative analysis using arterial spin labeling MR imaging L Sunwoo, TJ Yun, SH You, RE Yoo, KM Kang, SH Choi, J Kim, CH Sohn, ... PLoS One 11 (11), e0166662, 2016 | 65 | 2016 |
| Effects of hypertension, diabetes, and smoking on age and sex prediction from retinal fundus images YD Kim, KJ Noh, SJ Byun, S Lee, T Kim, L Sunwoo, KJ Lee, SH Kang, ... Scientific reports 10 (1), 4623, 2020 | 53 | 2020 |
| Correlation of apparent diffusion coefficient values measured by diffusion MRI and MGMT promoter methylation semiquantitatively analyzed with MS‐MLPA in patients with … L Sunwoo, SH Choi, CK Park, JW Kim, KS Yi, WJ Lee, TJ Yoon, SW Song, ... Journal of Magnetic Resonance Imaging 37 (2), 351-358, 2013 | 53 | 2013 |
| Procedural and clinical outcomes of endovascular recanalization therapy in patients with cancer-related stroke S Jung, C Jung, J Hyoung Kim, B Se Choi, Y Jung Bae, L Sunwoo, ... Interventional Neuroradiology 24 (5), 520-528, 2018 | 42 | 2018 |
| Fully automatic segmentation of acute ischemic lesions on diffusion-weighted imaging using convolutional neural networks: comparison with conventional algorithms I Woo, A Lee, SC Jung, H Lee, N Kim, SJ Cho, D Kim, J Lee, L Sunwoo, ... Korean Journal of Radiology 20 (8), 1275-1284, 2019 | 41 | 2019 |
| Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study L Sunwoo, YJ Kim, SH Choi, KG Kim, JH Kang, Y Kang, YJ Bae, RE Yoo, ... PLoS One 12 (6), e0178265, 2017 | 39 | 2017 |
| Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network T Kim, J Heo, DK Jang, L Sunwoo, J Kim, KJ Lee, SH Kang, SJ Park, ... EBioMedicine 40, 636-642, 2019 | 36 | 2019 |
| Feasibility of permanent stenting with solitaire FR as a rescue treatment for the reperfusion of acute intracranial artery occlusion HG Woo, L Sunwoo, C Jung, BJ Kim, MK Han, HJ Bae, YJ Bae, BS Choi, ... American Journal of Neuroradiology 39 (2), 331-336, 2018 | 31 | 2018 |
| Measurement variability of persistent pulmonary subsolid nodules on same-day repeat CT: what is the threshold to determine true nodule growth during follow-up? H Kim, CM Park, YS Song, L Sunwoo, YR Choi, JI Kim, JH Kim, JS Bae, ... PLoS One 11 (2), e0148853, 2016 | 24 | 2016 |
| Diagnostic performance of neuromelanin-sensitive magnetic resonance imaging for patients with Parkinson’s disease and factor analysis for its heterogeneity: a systematic review … SJ Cho, YJ Bae, JM Kim, D Kim, SH Baik, L Sunwoo, BS Choi, JH Kim European radiology 31, 1268-1280, 2021 | 22 | 2021 |
| Deep learning for diagnosis of paranasal sinusitis using multi-view radiographs Y Jeon, K Lee, L Sunwoo, D Choi, DY Oh, KJ Lee, Y Kim, JW Kim, SJ Cho, ... Diagnostics 11 (2), 250, 2021 | 22 | 2021 |
| Evaluation of the degree of arteriovenous shunting in intracranial arteriovenous malformations using pseudo-continuous arterial spin labeling magnetic resonance imaging L Sunwoo, CH Sohn, JY Lee, KS Yi, TJ Yun, SH Choi, YD Cho, J Kim, ... Neuroradiology 57, 775-782, 2015 | 20 | 2015 |
| Machine learning model to predict pseudoprogression versus progression in glioblastoma using MRI: A multi-institutional study (KROG 18-07) BS Jang, AJ Park, SH Jeon, IH Kim, DH Lim, SH Park, JH Lee, JH Chang, ... Cancers 12 (9), 2706, 2020 | 19 | 2020 |
| Classification of true progression after radiotherapy of brain metastasis on MRI using artificial intelligence: a systematic review and meta-analysis HY Kim, SJ Cho, L Sunwoo, SH Baik, YJ Bae, BS Choi, C Jung, JH Kim Neuro-Oncology Advances 3 (1), vdab080, 2021 | 16 | 2021 |
| Amide proton transfer-weighted MRI in the diagnosis of major salivary gland tumors YJ Bae, BS Choi, WJ Jeong, YH Jung, JH Park, L Sunwoo, C Jung, ... Scientific Reports 9 (1), 8349, 2019 | 15 | 2019 |
| Diffusion-weighted imaging of the head and neck: influence of fat-suppression technique and multishot 2D navigated interleaved acquisitions YJ Bae, BS Choi, HK Jeong, L Sunwoo, C Jung, JH Kim American Journal of Neuroradiology 39 (1), 145-150, 2018 | 15 | 2018 |
Yun Jung BaeDepartment of Radiology, Seoul National University Bundang HospitalVerified email at snubh.org
