| 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 |
| Scalable neural architecture search for 3d medical image segmentation S Kim, I Kim, S Lim, W Baek, C Kim, H Cho, B Yoon, T Kim Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 63 | 2019 |
| 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 |
| 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 |
| Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation H Hae, SJ Kang, WJ Kim, SY Choi, JG Lee, Y Bae, H Cho, DH Yang, ... PLoS Medicine 15 (11), e1002693, 2018 | 37 | 2018 |
| Deep-learning-based label-free segmentation of cell nuclei in time-lapse refractive index tomograms J Lee, H Kim, H Cho, YJ Jo, Y Song, D Ahn, K Lee, YK Park, SJ Ye Ieee Access 7, 83449-83460, 2019 | 34 | 2019 |
| 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 |
| 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 |
| Expert-level segmentation using deep learning for volumetry of polycystic kidney and liver TY Shin, H Kim, JH Lee, JS Choi, HS Min, H Cho, K Kim, G Kang, J Kim, ... Investigative and clinical urology 61 (6), 555, 2020 | 10 | 2020 |
| Data-driven multiplexed microtomography of endogenous subcellular dynamics YJ Jo, H Cho, WS Park, G Kim, D Ryu, YS Kim, M Lee, H Joo, HH Jo, ... bioRxiv, 2020.09. 16.300392, 2020 | 8 | 2020 |
| Compton background elimination for in vivo x-ray fluorescence imaging of gold nanoparticles using convolutional neural network S Jung, J Lee, H Cho, T Kim, SJ Ye IEEE Transactions on Nuclear Science 67 (11), 2311-2320, 2020 | 7 | 2020 |
| Automated identification of bacteria using three-dimensional holographic imaging and convolutional neural network G Kim, YJ Jo, H Cho, G Choi, BS Kim, H Min, YK Park 2018 IEEE Photonics Conference (IPC), 1-2, 2018 | 5 | 2018 |
| Neural Bootstrapper M Shin, H Cho, H Min, S Lim Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 2 | 2021 |
| Method and apparatus for generating 3-d molecular image based on label-free method using 3-d refractive index image and deep learning P YongKeun, W Park, Y Jo, H Min, H Cho US Patent 11,450,062, 2022 | 1 | 2022 |
| Neural Bootstrapping Attention for Neural Processes M Lee, J Park, S Jang, C Lee, H Cho, M Shin, S Lim | 1 | 2022 |
Hyun-seok MinTomocubetomocube.com의 이메일 확인됨
