Ji Eun Park, M.D.,Ph.D.
Ji Eun Park, M.D.,Ph.D.
Assistant Professor, Department of Radiology, Asan Medical Center
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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, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
Pseudoprogression in patients with glioblastoma: assessment by using volume-weighted voxel-based multiparametric clustering of MR imaging data in an independent test set
JE Park, HS Kim, MJ Goh, SJ Kim, JH Kim
Radiology 275 (3), 792-802, 2015
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
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
Advanced imaging parameters improve the prediction of diffuse lower-grade gliomas subtype, IDH mutant with no 1p19q codeletion: added value to the T2/FLAIR mismatch sign
MK Lee, JE Park, Y Jo, SY Park, SJ Kim, HS Kim
European radiology 30, 844-854, 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
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