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 | 247 | 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 | 222 | 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 | 193 | 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 | 157 | 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 | 132 | 2018 |
Illuminating the physiology of extracellular vesicles H Choi, DS Lee Stem cell research & therapy 7, 1-7, 2016 | 118 | 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 | 109 | 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 | 95 | 2016 |
Immune landscape of papillary thyroid cancer and immunotherapeutic implications KJ Na, H Choi Endocrine-related cancer 25 (5), 523-531, 2018 | 91 | 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 | 87 | 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 | 74 | 2013 |
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 | 72 | 2020 |
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 | 72 | 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 | 70 | 2019 |
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 | 53 | 2022 |
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 | 53 | 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 | 53 | 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 | 51 | 2011 |
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 | 48 | 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 | 46 | 2014 |