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Sunggyun Park
Sunggyun Park
Lunit
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Cited by
Year
Development and validation of deep learning–based automatic detection algorithm for malignant pulmonary nodules on chest radiographs
JG Nam, S Park, EJ Hwang, JH Lee, KN Jin, KY Lim, TH Vu, JH Sohn, ...
Radiology 290 (1), 218-228, 2019
4702019
Pixel-level domain transfer
D Yoo, N Kim, S Park, AS Paek, IS Kweon
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
3822016
Development and validation of a deep learning–based automated detection algorithm for major thoracic diseases on chest radiographs
EJ Hwang, S Park, KN Jin, J Im Kim, SY Choi, JH Lee, JM Goo, J Aum, ...
JAMA network open 2 (3), e191095-e191095, 2019
3272019
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
2742019
Attentionnet: Aggregating weak directions for accurate object detection
D Yoo, S Park, JY Lee, AS Paek, I So Kweon
Proceedings of the IEEE international conference on computer vision, 2659-2667, 2015
2102015
Development and validation of a deep learning–based automatic detection algorithm for active pulmonary tuberculosis on chest radiographs
EJ Hwang, S Park, KN Jin, JI Kim, SY Choi, JH Lee, JM Goo, J Aum, ...
Clinical infectious diseases 69 (5), 739-747, 2019
1852019
Deep learning for chest radiograph diagnosis in the emergency department
EJ Hwang, JG Nam, WH Lim, SJ Park, YS Jeong, JH Kang, EK Hong, ...
Radiology 293 (3), 573-580, 2019
1282019
Multi-scale pyramid pooling for deep convolutional representation
D Yoo, S Park, JY Lee, I So Kweon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
1242015
A unified framework for tumor proliferation score prediction in breast histopathology
K Paeng, S Hwang, S Park, M Kim
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
822017
Accurate lung segmentation via network-wise training of convolutional networks
S Hwang, S Park
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
512017
Performance of a deep learning algorithm compared with radiologic interpretation for lung cancer detection on chest radiographs in a health screening population
JH Lee, HY Sun, S Park, H Kim, EJ Hwang, JM Goo, CM Park
Radiology 297 (3), 687-696, 2020
502020
Fisher kernel for deep neural activations
D Yoo, S Park, JY Lee, IS Kweon
arXiv preprint arXiv:1412.1628, 2014
432014
Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals
JH Lee, S Park, EJ Hwang, JM Goo, WY Lee, S Lee, H Kim, JR Andrews, ...
European Radiology 31, 1069-1080, 2021
312021
DLAD Development and Evaluation Group, Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
EJ Hwang, S Park, KN Jin, JI Kim, SY Choi, JH Lee, JM Goo, J Aum, ...
JAMA Netw Open 2 (3), e191095, 2019
252019
Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case–control study
SY Choi, S Park, M Kim, J Park, YR Choi, KN Jin
Medicine 100 (16), 2021
202021
Dynamic pricing with ‘BOGO’promotion in revenue management
KK Kim, CG Lee, S Park
International Journal of Production Research 54 (17), 5283-5302, 2016
142016
European Conference on Computer Vision
D Yoo, N Kim, S Park, AS Paek, IS Kweon
92016
Action-driven object detection with top-down visual attentions
D Yoo, S Park, K Paeng, JY Lee, IS Kweon
arXiv preprint arXiv:1612.06704, 2016
52016
Pixel-level domain transfer In: European Conference on Computer Vision (ECCV)
D Yoo, N Kim, S Park, AS Paek, IS Kweon
Springer, 2016
42016
Bronchovascular bundle thickening on CT as a predictor of survival and brain metastasis in patients with stage IA peripheral small cell lung cancer
P Sung, SH Yoon, J Kim, JH Hong, S Park, JM Goo
Clinical Radiology 76 (1), 76. e37-76. e46, 2021
22021
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Articles 1–20