| Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives JE Park, SY Park, HJ Kim, HS Kim Korean journal of radiology 20 (7), 1124-1137, 2019 | 334 | 2019 |
| Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement JE Park, D Kim, HS Kim, SY Park, JY Kim, SJ Cho, JH Shin, JH Kim European radiology 30, 523-536, 2020 | 239 | 2020 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 234 | 2022 |
| Incorporating diffusion-and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients JY Kim, JE Park, Y Jo, WH Shim, SJ Nam, JH Kim, RE Yoo, SH Choi, ... Neuro-oncology 21 (3), 404-414, 2019 | 209 | 2019 |
| Review and consensus recommendations on clinical APT‐weighted imaging approaches at 3T: application to brain tumors J Zhou, M Zaiss, L Knutsson, PZ Sun, SS Ahn, S Aime, P Bachert, ... Magnetic resonance in medicine 88 (2), 546-574, 2022 | 143 | 2022 |
| Diffusion-and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma M Kim, SY Jung, JE Park, Y Jo, SY Park, SJ Nam, JH Kim, HS Kim European radiology 30, 2142-2151, 2020 | 136 | 2020 |
| Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation D Kang, JE Park, YH Kim, JH Kim, JY Oh, J Kim, Y Kim, ST Kim, HS Kim Neuro-oncology 20 (9), 1251-1261, 2018 | 135 | 2018 |
| Pre-and posttreatment glioma: comparison of amide proton transfer imaging with MR spectroscopy for biomarkers of tumor proliferation JE Park, HS Kim, KJ Park, SJ Kim, JH Kim, SA Smith Radiology 278 (2), 514-523, 2016 | 132 | 2016 |
| A systematic review reporting quality of radiomics research in neuro-oncology: toward clinical utility and quality improvement using high-dimensional imaging features JE Park, HS Kim, D Kim, SY Park, JY Kim, SJ Cho, JH Kim BMC cancer 20, 1-11, 2020 | 118 | 2020 |
| Thin-slice pituitary MRI with deep learning–based reconstruction: diagnostic performance in a postoperative setting M Kim, HS Kim, HJ Kim, JE Park, SY Park, YH Kim, SJ Kim, J Lee, ... Radiology 298 (1), 114-122, 2021 | 95 | 2021 |
| Radiomics as a quantitative imaging biomarker: practical considerations and the current standpoint in neuro-oncologic studies JE Park, HS Kim Nuclear medicine and molecular imaging 52, 99-108, 2018 | 95 | 2018 |
| Added value of amide proton transfer imaging to conventional and perfusion MR imaging for evaluating the treatment response of newly diagnosed glioblastoma KJ Park, HS Kim, JE Park, WH Shim, SJ Kim, SA Smith European radiology 26, 4390-4403, 2016 | 95 | 2016 |
| Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma J Yun, JE Park, H Lee, S Ham, N Kim, HS Kim Scientific reports 9 (1), 5746, 2019 | 93 | 2019 |
| Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation S Bae, C An, SS Ahn, H Kim, K Han, SW Kim, JE Park, HS Kim, SK Lee Scientific reports 10 (1), 12110, 2020 | 87 | 2020 |
| Methods for clinical evaluation of artificial intelligence algorithms for medical diagnosis SH Park, K Han, HY Jang, JE Park, JG Lee, DW Kim, J Choi Radiology 306 (1), 20-31, 2023 | 80 | 2023 |
| Histogram analysis of amide proton transfer imaging to identify contrast-enhancing low-grade brain tumor that mimics high-grade tumor: increased accuracy of MR perfusion JE Park, HS Kim, KJ Park, CG Choi, SJ Kim Radiology 277 (1), 151-161, 2015 | 75 | 2015 |
| Review of statistical methods for evaluating the performance of survival or other time-to-event prediction models (from conventional to deep learning approaches) SY Park, JE Park, H Kim, SH Park Korean Journal of Radiology 22 (10), 1697, 2021 | 71 | 2021 |
| Identification of Early Response to Anti-Angiogenic Therapy in Recurrent Glioblastoma: Amide Proton Transfer–weighted and Perfusion-weighted MRI compared with Diffusion … JE Park, HS Kim, SY Park, SC Jung, JH Kim, HY Heo Radiology 295 (2), 397-406, 2020 | 69 | 2020 |
| Extensive peritumoral edema and brain-to-tumor interface MRI features enable prediction of brain invasion in meningioma: development and validation L Joo, JE Park, SY Park, SJ Nam, YH Kim, JH Kim, HS Kim Neuro-oncology 23 (2), 324-333, 2021 | 67 | 2021 |
| Radiomics prognostication model in glioblastoma using diffusion-and perfusion-weighted MRI JE Park, HS Kim, Y Jo, RE Yoo, SH Choi, SJ Nam, JH Kim Scientific reports 10 (1), 4250, 2020 | 67 | 2020 |
JEONG HOON KIMProfessor, Department of Neurosurgery, Asan Medical CenterПодтвержден адрес электронной почты в домене amc.seoul.kr
