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Hongyoon Choi
Hongyoon Choi
Department of Nuclear Medicine, Seoul National University Hospital
Verified email at snu.ac.kr
Title
Cited by
Cited by
Year
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
2372018
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
2202015
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
1812017
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
1542015
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
1212018
Illuminating the physiology of extracellular vesicles
H Choi, DS Lee
Stem cell research & therapy 7, 1-7, 2016
1132016
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
1012019
Fast and robust segmentation of the striatum using deep convolutional neural networks
H Choi, KH Jin
Journal of neuroscience methods 274, 146-153, 2016
902016
Immune landscape of papillary thyroid cancer and immunotherapeutic implications
KJ Na, H Choi
Endocrine-related cancer 25 (5), 523-531, 2018
872018
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
812018
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
752013
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
712014
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
672019
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
642020
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
532014
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
502011
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
462022
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
462018
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
462014
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
452020
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