| Quantitative phase imaging and artificial intelligence: a review YJ Jo, H Cho, SY Lee, G Choi, G Kim, H Min, YK Park IEEE Journal of Selected Topics in Quantum Electronics 25 (1), 1-14, 2018 | 176 | 2018 |
| Neural stain-style transfer learning using gan for histopathological images H Cho, S Lim, G Choi, H Min arXiv preprint arXiv:1710.08543, 2017 | 81 | 2017 |
| Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells G Kim, YJ Jo, H Cho, H Min, YK Park Biosensors and Bioelectronics 123, 69-76, 2019 | 56 | 2019 |
| Cycle-consistent deep learning approach to coherent noise reduction in optical diffraction tomography G Choi, DH Ryu, YJ Jo, YS Kim, W Park, H Min, YK Park Optics express 27 (4), 4927-4943, 2019 | 55 | 2019 |
| Angiography‐based machine learning for predicting fractional flow reserve in intermediate coronary artery lesions H Cho, JG Lee, SJ Kang, WJ Kim, SY Choi, J Ko, HS Min, GH Choi, ... Journal of the American Heart Association 8 (4), e011685, 2019 | 42 | 2019 |
| Method for electronic device to control object and electronic device WH Lee, KH Lee, HK Kim, H Min, IS Park, SY Han, JH Koh, JH Kim, ... US Patent App. 15/220,558, 2017 | 42 | 2017 |
| Deep-learning-based three-dimensional label-free tracking and analysis of immunological synapses of CAR-T cells M Lee, YH Lee, J Song, G Kim, YJ Jo, HS Min, CH Kim, YK Park Elife 9, e49023, 2020 | 33 | 2020 |
| Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning YJ Jo, H Cho, WS Park, G Kim, DH Ryu, YS Kim, M Lee, S Park, MJ Lee, ... Nature Cell Biology 23 (12), 1329-1337, 2021 | 21 | 2021 |
| Label-free white blood cell classification using refractive index tomography and deep learning DH Ryu, J Kim, D Lim, HS Min, IY Yoo, D Cho, YK Park BME Frontiers, 2021 | 19 | 2021 |
| Near-duplicate video clip detection using model-free semantic concept detection and adaptive semantic distance measurement H Min, JY Choi, W De Neve, YM Ro IEEE Transactions on Circuits and Systems for Video Technology 22 (8), 1174-1187, 2012 | 19 | 2012 |
| Deep learning-based optical field screening for robust optical diffraction tomography DH Ryu, YJ Jo, J Yoo, T Chang, D Ahn, YS Kim, G Kim, HS Min, YK Park Scientific reports 9 (1), 15239, 2019 | 18 | 2019 |
| Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning Y Bae, SJ Kang, G Kim, JG Lee, HS Min, H Cho, DY Kang, PH Lee, ... Atherosclerosis 288, 168-174, 2019 | 17 | 2019 |
| DeepRegularizer: rapid resolution enhancement of tomographic imaging using deep learning DH Ryu, D Ryu, YS Baek, H Cho, G Kim, YS Kim, Y Lee, Y Kim, JC Ye, ... IEEE Transactions on Medical Imaging 40 (5), 1508-1518, 2021 | 16 | 2021 |
| Detection of optical coherence tomography-defined thin-cap fibroatheroma in the coronary artery using deep learning. HS Min, JH Yoo, SJ Kang, JG Lee, H Cho, PH Lee, JM Ahn, DW Park, ... EuroIntervention: journal of EuroPCR in collaboration with the Working Group …, 2020 | 16 | 2020 |
| Prediction of coronary stent underexpansion by pre-procedural intravascular ultrasound–based deep learning HS Min, D Ryu, SJ Kang, JG Lee, JH Yoo, H Cho, DY Kang, PH Lee, ... Cardiovascular Interventions 14 (9), 1021-1029, 2021 | 15 | 2021 |
| Intravascular ultrasound-based deep learning for plaque characterization in coronary artery disease H Cho, SJ Kang, HS Min, JG Lee, WJ Kim, SH Kang, DY Kang, PH Lee, ... Atherosclerosis 324, 69-75, 2021 | 15 | 2021 |
| Rapid and label-free identification of individual bacterial pathogens exploiting three-dimensional quantitative phase imaging and deep learning G Kim, D Ahn, M Kang, Y Jo, D Ryu, H Kim, J Song, JS Ryu, G Choi, ... BioRxiv, 2019 | 15 | 2019 |
| Calibration-free quantitative phase imaging using data-driven aberration modeling T Chang, DH Ryu, YJ Jo, G Choi, HS Min, YK Park Optics Express 28 (23), 34835-34847, 2020 | 13 | 2020 |
| Video copy detection using inclined video tomography and bag-of-visual-words H Min, SM Kim, W De Neve, YM Ro 2012 IEEE International Conference on Multimedia and Expo, 562-567, 2012 | 12 | 2012 |
| Bimodal fusion of low-level visual features and high-level semantic features for near-duplicate video clip detection H Min, JY Choi, W De Neve, YM Ro Signal Processing: Image Communication 26 (10), 612-627, 2011 | 12 | 2011 |
Yong Man RoProfessor of Electrical Engineering, KAISTkaist.ac.kr의 이메일 확인됨
