| Prediction of coronary stent underexpansion by pre-procedural intravascular ultrasound–based deep learning HS Min, D Ryu, SJ Kang, JG Lee, JH Yoo, H Cho, DY Kang, PH Lee, ... Cardiovascular Interventions 14 (9), 1021-1029, 2021 | 42 | 2021 |
| Artificial intelligence-enabled quantitative phase imaging methods for life sciences J Park, B Bai, DH Ryu, T Liu, C Lee, Y Luo, MJ Lee, L Huang, J Shin, ... Nature Methods 20 (11), 1645-1660, 2023 | 41 | 2023 |
| 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 | 35 | 2018 |
| DeepRegularizer: rapid resolution enhancement of tomographic imaging using deep learning DH Ryu, D Ryu, YS Baek, H Cho, G Kim, YS Kim, Y Lee, Y Kim, JC Ye, ... IEEE Transactions on Medical Imaging 40 (5), 1508-1518, 2021 | 28 | 2021 |
| Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution YK Lee, D Ryu, S Kim, J Park, SY Park, D Ryu, H Lee, S Lim, HS Min, ... Scientific Reports 13 (1), 9847, 2023 | 3 | 2023 |
| Revealing 3D cancer tissue structures using holotomography and virtual hematoxylin and eosin staining via deep learning J Park, SJ Shin, M Kim, G Kim, H Cho, D Ryu, D Ahn, JE Heo, I Jang, ... bioRxiv, 2023.12. 04.569853, 2023 | 1 | 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 | 1 | 2023 |
| Advancing ICK assay: Real-time, label-free imaging of lymphocyte subsets S Oh, J Do, HS Min, D Ryu, W Park Cancer Research 84 (6_Supplement), 2530-2530, 2024 | | 2024 |
| 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 |
| Solving the missing cone problem of diffraction tomography using deep learning DH Ryu, D Ryu, YS Baek, H Cho, G Kim, YS Kim, Y Lee, Y Kim, HS Min, ... Quantitative Phase Imaging VII 11653, 116530G, 2021 | | 2021 |
| Remote afterloading patient‐specific brachytherapy with liquid radioisotope for irradiation of extensive scalp lesions: A Monte Carlo study D Ryu, J Kim, S Lee, SJ Ye, JM Park Medical Physics 46 (7), 3227-3234, 2019 | | 2019 |
| Monte Carlo Simulations for Magnetic Field Correction Factors of Plane-Parallel Ionization Chamber J Lee, J Lee, D Ryu, H Lee, SJ Ye AAPM, 2017 | | 2017 |
| Benchmark of MCNP6 for ionization chamber simulation in the presence of a magnetic field using the Fano cavity theory: Dose comparison with EGSnrc, PENELOPE, and Geant4 J Leea, J Leea, D Ryua, H Leeb, SJ Yea | | 2017 |
| Comparison between Two Bromine Containing Free Radical Initiators in PRESAGE® Dosimeter H Park, D Ryu, SJ Ye | | 2017 |
| Comparison between Two Bromine Containing Free Radical Initiators in PRESAGE® H Park, D Ryu, SJ Ye | | 2016 |
