Hongyoon Choi
Hongyoon Choi
Department of Nuclear Medicine, Seoul National University Hospital
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Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging
H Choi, KH Jin, Alzheimer’s Disease Neuroimaging Initiative
Behavioural brain research 344, 103-109, 2018
Noninvasive imaging of radiolabeled exosome-mimetic nanovesicle using 99mTc-HMPAO
DW Hwang, H Choi, SC Jang, MY Yoo, JY Park, NE Choi, HJ Oh, S Ha, ...
Scientific reports 5 (1), 15636, 2015
Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging
H Choi, S Ha, HJ Im, SH Paek, DS Lee
NeuroImage: Clinical 16, 586-594, 2017
11C-Pittsburgh B PET Imaging in Cardiac Amyloidosis
SP Lee, ES Lee, H Choi, HJ Im, Y Koh, MH Lee, JH Kwon, JC Paeng, ...
JACC: Cardiovascular Imaging 8 (1), 50-59, 2015
Generation of structural MR images from amyloid PET: application to MR-less quantification
H Choi, DS Lee
Journal of Nuclear Medicine 59 (7), 1111-1117, 2018
Illuminating the physiology of extracellular vesicles
H Choi, DS Lee
Stem cell research & therapy 7, 1-7, 2016
Radiomics in oncological PET/CT: a methodological overview
S Ha, H Choi, JC Paeng, GJ Cheon
Nuclear medicine and molecular imaging 53, 14-29, 2019
Fast and robust segmentation of the striatum using deep convolutional neural networks
H Choi, KH Jin
Journal of neuroscience methods 274, 146-153, 2016
Immune landscape of papillary thyroid cancer and immunotherapeutic implications
KJ Na, H Choi
Endocrine-related cancer 25 (5), 523-531, 2018
Deep learning in nuclear medicine and molecular imaging: current perspectives and future directions
H Choi
Nuclear medicine and molecular imaging 52 (2), 109-118, 2018
Metabolic and metastatic characteristics of ALK-rearranged lung adenocarcinoma on FDG PET/CT
H Choi, JC Paeng, DW Kim, JK Lee, CM Park, KW Kang, JK Chung, ...
Lung Cancer 79 (3), 242-247, 2013
Autoclustering of Non-small Cell Lung Carcinoma Subtypes on 18F-FDG PET Using Texture Analysis: A Preliminary Result
S Ha, H Choi, GJ Cheon, KW Kang, JK Chung, EE Kim, DS Lee
Nuclear medicine and molecular imaging 48, 278-286, 2014
Deep learning only by normal brain PET identify unheralded brain anomalies
H Choi, S Ha, H Kang, H Lee, DS Lee
EBioMedicine 43, 447-453, 2019
Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer’s disease to Parkinson’s disease
H Choi, YK Kim, EJ Yoon, JY Lee, DS Lee, ...
European Journal of Nuclear Medicine and Molecular Imaging 47, 403-412, 2020
Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: a multiscale network analysis based on persistent homology
H Choi, YK Kim, H Kang, H Lee, HJ Im, EE Kim, JK Chung, DS Lee
Neuroimage 99, 226-236, 2014
Diffusion tensor imaging of anterior commissural fibers in patients with schizophrenia
H Choi, M Kubicki, TJ Whitford, JL Alvarado, DP Terry, M Niznikiewicz, ...
Schizophrenia research 130 (1-3), 78-85, 2011
CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data
S Bae, KJ Na, J Koh, DS Lee, H Choi, YT Kim
Nucleic acids research 50 (10), e57-e57, 2022
Integrative analysis of imaging and transcriptomic data of the immune landscape associated with tumor metabolism in lung adenocarcinoma: clinical and prognostic implications
H Choi, KJ Na
Theranostics 8 (7), 1956, 2018
In Vivo Imaging of mGluR5 Changes during Epileptogenesis Using [11C]ABP688 PET in Pilocarpine-Induced Epilepsy Rat Model
H Choi, YK Kim, SW Oh, HJ Im, DW Hwang, H Kang, B Lee, YS Lee, ...
PLoS One 9 (3), e92765, 2014
Tumor immune profiles noninvasively estimated by FDG PET with deep learning correlate with immunotherapy response in lung adenocarcinoma
C Park, KJ Na, H Choi, CY Ock, S Ha, M Kim, S Park, B Keam, TM Kim, ...
Theranostics 10 (23), 10838, 2020
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