|k-space deep learning for accelerated MRI|
Y Han, L Sunwoo, JC Ye
IEEE transactions on medical imaging, 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
|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
|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
|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
|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
|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
|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
|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), 1-14, 2020
|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
|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
|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
|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
|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 (8), 775-782, 2015
|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), 1-7, 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
|Differentiation of deep subcortical infarction using high-resolution vessel wall MR imaging of middle cerebral artery|
YJ Bae, BS Choi, C Jung, YH Yoon, L Sunwoo, HJ Bae, JH Kim
Korean Journal of Radiology 18 (6), 964-972, 2017
|Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data|
H Chung, E Cha, L Sunwoo, JC Ye
Medical Image Analysis 71, 102047, 2021
|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 (3), 1268-1280, 2021
|Paradoxical perfusion metrics of high-grade gliomas with an oligodendroglioma component: quantitative analysis of dynamic susceptibility contrast perfusion MR imaging|
L Sunwoo, SH Choi, RE Yoo, KM Kang, TJ Yun, TM Kim, SH Lee, CK Park, ...
Neuroradiology 57 (11), 1111-1120, 2015