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Donghwi Hwang
Donghwi Hwang
Samsung Advanced Institute of Technology (SAIT)
Verified email at snu.ac.kr
Title
Cited by
Cited by
Year
Computed tomography super-resolution using deep convolutional neural network
J Park, D Hwang, KY Kim, SK Kang, YK Kim, JS Lee
Physics in Medicine & Biology 63 (14), 145011, 2018
2232018
Improving the accuracy of simultaneously reconstructed activity and attenuation maps using deep learning
D Hwang, KY Kim, SK Kang, S Seo, JC Paeng, DS Lee, JS Lee
Journal of Nuclear Medicine 59 (10), 1624-1629, 2018
1512018
Generation of PET attenuation map for whole-body time-of-flight 18F-FDG PET/MRI using a deep neural network trained with simultaneously reconstructed activity and attenuation maps
D Hwang, SK Kang, KY Kim, S Seo, JC Paeng, DS Lee, JS Lee
Journal of Nuclear Medicine 60 (8), 1183-1189, 2019
1432019
Deep-dose: a voxel dose estimation method using deep convolutional neural network for personalized internal dosimetry
MS Lee, D Hwang, JH Kim, JS Lee
Scientific reports 9 (1), 10308, 2019
1172019
Self-supervised PET denoising
SY Yie, SK Kang, D Hwang, JS Lee
Nuclear Medicine and Molecular Imaging 54, 299-304, 2020
362020
Automatic Lung Cancer Segmentation in [18F]FDG PET/CT Using a Two-Stage Deep Learning Approach
J Park, SK Kang, D Hwang, H Choi, S Ha, JM Seo, JS Eo, JS Lee
Nuclear Medicine and Molecular Imaging 57 (2), 86-93, 2023
262023
Data-driven respiratory phase-matched PET attenuation correction without CT
D Hwang, SK Kang, KY Kim, H Choi, S Seo, JS Lee
Physics in Medicine & Biology 66 (11), 115009, 2021
172021
Comparison of deep learning-based emission-only attenuation correction methods for positron emission tomography
D Hwang, SK Kang, KY Kim, H Choi, JS Lee
European Journal of Nuclear Medicine and Molecular Imaging 49 (6), 1833-1842, 2022
162022
Positron emission tomography system and image reconstruction method using the same
JS Lee, D Hwang, KY Kim
US Patent 10,943,349, 2021
102021
Accurate transmission-less attenuation correction method for amyloid-β brain PET using deep neural network
BH Choi, D Hwang, SK Kang, KY Kim, H Choi, S Seo, JS Lee
Electronics 10 (15), 1836, 2021
92021
Multimodal spatial attention network for automatic head and neck tumor segmentation in FDG-PET and CT images
M Cho, Y Choi, D Hwang, SY Yie, H Kim, JS Lee
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 75-82, 2021
72021
Performance evaluation and quantitative accuracy of multipinhole NanoSPECT/CT scanner for theranostic Lu-177 imaging
A Gupta, KY Kim, D Hwang, MS Lee, DS Lee, JS Lee
Journal of the Korean Physical Society 72, 1379-1386, 2018
72018
CT-free quantitative SPECT for automatic evaluation of% thyroid uptake based on deep-learning
K Kwon, D Hwang, D Oh, JH Kim, J Yoo, JS Lee, WW Lee
EJNMMI physics 10 (1), 20, 2023
62023
Accurate attenuation correction for whole-body Ga-68-DOTATOC PET studies using deep learning
D Hwang, KY Kim, SK Kang, H Choi, S Seo, JC Paeng, DS Lee, JS Lee
Journal of Nuclear Medicine 60 (supplement 1), 568-568, 2019
52019
Self-supervised bone scan denoising
SY Yie, SK Kang, D Hwang, H Choi, JS Lee
Journal of Nuclear Medicine 62 (supplement 1), 37-37, 2021
32021
Self-supervised Denoising Towards Clinical Best-Application on Bone Scan
SY Yie, SK Kang, D Hwang, H Choi, YK Kim, JS Lee
Journal of Nuclear Medicine 63 (supplement 2), 2258-2258, 2022
12022
3C-Net: Deep Learning-based Lung Cancer Segmentation Using Multi-Context Information on FDG PET/CT Images
SE Hwang, D Hwang, SK Kang, H Choi, S Ha, JS Eo, JS Lee
Journal of Nuclear Medicine 63 (supplement 2), 3349-3349, 2022
12022
Enhancing bone scan image quality: an improved self-supervised denoising approach
SY Yie, SK Kang, J Gil, D Hwang, H Choi, YK Kim, JC Paeng, JS Lee
Physics in Medicine & Biology 69 (21), 215020, 2024
2024
Multi-modal co-learning with attention mechanism for head and neck tumor segmentation on 18FDG PET-CT
MJ Cho, D Hwang, SY Yie, JS Lee
EJNMMI physics 11 (1), 67, 2024
2024
Positron emission tomography system and image reconstruction method using the same
JS Lee, D Hwang, KY Kim
US Patent 11,756,241, 2023
2023
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