| RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 194 | 2019 |
| CT sinogram‐consistency learning for metal‐induced beam hardening correction HS Park, SM Lee, HP Kim, JK Seo, YE Chung Medical physics 45 (12), 5376-5384, 2018 | 133* | 2018 |
| Metal artifact reduction for polychromatic X-ray CT based on a beam-hardening corrector HS Park, D Hwang, JK Seo IEEE transactions on medical imaging 35 (2), 480-487, 2015 | 98 | 2015 |
| Unpaired image denoising using a generative adversarial network in X-ray CT HS Park, J Baek, SK You, JK Choi, JK Seo IEEE Access 7, 110414-110425, 2019 | 77 | 2019 |
| Computed tomographic beam-hardening artefacts: mathematical characterization and analysis HS Park, YE Chung, JK Seo Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2015 | 55 | 2015 |
| Inverse problem in quantitative susceptibility mapping JK Choi, HS Park, S Wang, Y Wang, JK Seo SIAM Journal on Imaging Sciences 7 (3), 1669-1689, 2014 | 40 | 2014 |
| Metal artifact reduction in CT by identifying missing data hidden in metals HS Park, JK Choi, KR Park, KS Kim, SH Lee, JC Ye, JK Seo Journal of X-ray science and technology 21 (3), 357-372, 2013 | 36 | 2013 |
| Characterization of metal artifacts in X‐ray computed tomography HS Park, JK Choi, JK Seo Communications on Pure and Applied Mathematics 70 (11), 2191-2217, 2017 | 35 | 2017 |
| Deep neural networks for the detection and segmentation of the retinal fluid in OCT images SH Kang, HS Park, J Jang, K Jeon Proc. MICCAI Retinal OCT Fluid Challenge (RETOUCH), 9-14, 2017 | 30 | 2017 |
| Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs HS Park, K Jeon, YJ Cho, SW Kim, SB Lee, G Choi, S Lee, YH Choi, ... Korean Journal of Radiology 22 (4), 612, 2021 | 23 | 2021 |
| Machine-learning-based nonlinear decomposition of CT images for metal artifact reduction HS Park, SM Lee, HP Kim, JK Seo arXiv preprint arXiv:1708.00244, 2017 | 23 | 2017 |
| Three-dimensional vector analysis of mandibular structural asymmetry KR Park, HS Park, Z Piao, MK Kim, HS Yu, JK Seo, SH Lee Journal of Cranio-Maxillofacial Surgery 41 (4), 338-344, 2013 | 20 | 2013 |
| Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework YJ Jeong, HS Park, JE Jeong, HJ Yoon, K Jeon, K Cho, DY Kang Scientific reports 11 (1), 1-11, 2021 | 17 | 2021 |
| Deep learning method for reducing metal artifacts in dental cone-beam CT using supplementary information from intra-oral scan CM Hyun, T Bayaraa, HS Yun, TJ Jang, HS Park, JK Seo Physics in Medicine & Biology, 2022 | 16 | 2022 |
| A fidelity‐embedded learning for metal artifact reduction in dental CBCT HS Park, JK Seo, CM Hyun, SM Lee, K Jeon Medical Physics 49 (8), 5195-5205, 2022 | 9 | 2022 |
| Low-Dose CT Image Reconstruction With a Deep Learning Prior HS Park, K Kim, K Jeon IEEE Access 8, 158647-158655, 2020 | 9 | 2020 |
| Denoising of pediatric low dose abdominal CT using deep learning based algorithm HS Park, K Jeon, JE Lee, SK You Plos one 17 (1), e0260369, 2022 | 6 | 2022 |
| TOWARDS BEAM HARDENING CORRECTION FOR POLYCHROMATIC X-RAY CT. HS Park, H Gao, SM Lee, JK Seo Journal of Computational Mathematics 34 (6), 2016 | 5 | 2016 |
| A model‐based sinogram correction for beam hardening artifact reduction in CT SM Lee, JK Seo, YE Chung, J Baek, HS Park Medical physics 44 (9), e147-e152, 2017 | 4 | 2017 |
| Unpaired-paired learning for shading correction in cone-beam computed tomography HS Park, K Jeon, SH Lee, JK Seo IEEE Access, 2022 | 3 | 2022 |
Jin Keun SeoYonsei UniversityVerified email at yonsei.ac.kr
