| Deep-learning-based label-free segmentation of cell nuclei in time-lapse refractive index tomograms J Lee, H Kim, H Cho, YJ Jo, Y Song, D Ahn, K Lee, YK Park, SJ Ye Ieee Access 7, 83449-83460, 2019 | 47 | 2019 |
| Fano cavity test for electron Monte Carlo transport algorithms in magnetic fields: comparison between EGSnrc, PENELOPE, MCNP6 and Geant4 J Lee, J Lee, D Ryu, H Lee, SJ Ye Physics in Medicine & Biology 63 (19), 195013, 2018 | 32 | 2018 |
| Compton background elimination for in vivo x-ray fluorescence imaging of gold nanoparticles using convolutional neural network S Jung, J Lee, H Cho, T Kim, SJ Ye IEEE Transactions on Nuclear Science 67 (11), 2311-2320, 2020 | 9 | 2020 |
| Deep Radiomics–based Approach to the Diagnosis of Osteoporosis Using Hip Radiographs S Kim, BR Kim, HD Chae, J Lee, SJ Ye, DH Kim, SH Hong, JY Choi, ... Radiology: Artificial Intelligence 4 (4), e210212, 2022 | 6 | 2022 |
| Controllable Text-to-Image Synthesis for Multi-Modality MR Images K Kim, Y Na, SJ Ye, J Lee, SS Ahn, JE Park, H Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| TS-Net: A deep learning framework for automated assessment of longitudinal tumor volume changes in an orthotopic breast cancer model using MRI Y Jun, S Jin, N Myung, J Jeong, J Lee, HJ Cho IEEE Access, 2023 | 1 | 2023 |
| Evaluation of filters in RSPCS (Reactor Service Pool Cooling System) and HWL (Hot Water Layer) in OPAL research reactor at ANSTO (Australian Nuclear Science and Technology … J Lee, R Foy, SM Jung, HS Park, SJ Ye | 1 | 2016 |
| Machine learning‐based evaluation technology of 3D spatial distribution of residual radioactivity in large‐scale radioactive structures UJ Lee, P Chang, NS Jung, J Jang, J Lee, HS Lee Nuclear Engineering and Technology, 2024 | | 2024 |
| Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network S Kim, J Lee, J Kim, B Kim, CH Choi, S Jung arXiv preprint arXiv:2309.15314, 2023 | | 2023 |
| Deep learning-based label-free hematology analysis framework using optical diffraction tomography D Ryu, T Bak, D Ahn, H Kang, S Oh, H Min, S Lee, J Lee Heliyon 9 (8), 2023 | | 2023 |
| Metal Artifact Reduction for Head and Neck CBCT with Attentional Dual Encoder Fusion UNet JM Lee, W Lee, J Ki, B Kim, S Jung, J Lee Radiological Society of North America (RSNA), 2023 | | 2023 |
| CNN-Based Metal Artifact Reduction Method with Mask for Planning CT in Radiation Treatment W Lee, J Ki, JM Lee, B Kim, S Jung, J Lee Radiological Society of North America (RSNA), 2023 | | 2023 |
| Unpaired MR-CT Translation using Diffusion model and cross-modality structure extractor J Roh, YB Kim, J Lee Radiological Society of North America (RSNA), 2023 | | 2023 |
| Missing Brain Tumor MRI sequence Imputation with Laplacian filter Attention with Style Transfer Generative Adversarial Network Y Na, K Kim, H Kim, SJ Ye, J Lee Radiological Society of North America (RSNA), 2022 | | 2022 |
| Synthesis of brain tumor dataset via free-from mask in normal MRI using Generative Adversarial Networks K Kim, Y Na, J Lee, SJ Ye, H Kim Radiological Society of North America (RSNA), 2022 | | 2022 |
| Deep Learning-based Fokker-Planck-Landau Collision Operator for Fusion Plasma Simulation: A Preliminary Study HJ Noha, J Leeb, E Yoonb 한국원자력학회, 2022 | | 2022 |
| Deep Learning-based Metal Artifact and Noise Reduction in the Lumbar Spine CT HI Choi, J Lee, HD Chae, C Ahn, H Cho, SJ Ye, JH Kim, SH Hong, ... Radiological Society of North America (RSNA), 2021 | | 2021 |
| Machine Learning-based Optimal Radiation Treatment Technique Suggestion Using Dosimetric Parameters D Ryu, J Lee, H Kim Radiological Society of North America (RSNA), 2021 | | 2021 |
| 3D Dose Distribution Estimation for Various Treatment Techniques using Deep Learning Framework For Radiation Therapy J Lee, D Ryu, H Kim Radiological Society of North America (RSNA), 2021 | | 2021 |
| Deep Learning-based Effective Atomic Number Conversion From Single Energy Computed Tomography J Lee, S Kim, B Kim, S Jung Radiological Society of North America (RSNA), 2021 | | 2021 |
Sung-Joon YeProfessor of Applied Bioengineering, Seoul National UniversityVerified email at snu.ac.kr
