| How much data is needed to train a medical image deep learning system to achieve necessary high accuracy? J Cho, K Lee, E Shin, G Choy, S Do arXiv preprint arXiv:1511.06348, 2015 | 506 | 2015 |
| Decision tree approach for classification and dimensionality reduction of electronic nose data JH Cho, PU Kurup Sensors and Actuators B: Chemical 160 (1), 542-548, 2011 | 151 | 2011 |
| Improving sensitivity on identification and delineation of intracranial hemorrhage lesion using cascaded deep learning models J Cho, KS Park, M Karki, E Lee, S Ko, JK Kim, D Lee, J Choe, J Son, ... Journal of digital imaging 32, 450-461, 2019 | 137 | 2019 |
| Wireless electronic nose system for real-time quantitative analysis of gas mixtures using micro-gas sensor array and neuro-fuzzy network JH Cho, YW Kim, KJ Na, GJ Jeon Sensors and actuators B: Chemical 134 (1), 104-111, 2008 | 88 | 2008 |
| Tin–copper mixed metal oxide nanowires: synthesis and sensor response to chemical vapors X Li, Z Gu, JH Cho, H Sun, P Kurup Sensors and Actuators B: Chemical 158 (1), 199-207, 2011 | 45 | 2011 |
| Sensitive and fast recognition of explosives using fluorescent polymer sensors and pattern recognition analysis J Cho, R Anandakathir, A Kumar, J Kumar, PU Kurup Sensors and Actuators B: Chemical 160 (1), 1237-1243, 2011 | 43 | 2011 |
| Dynamic chemical vapor sensing with nanofibrous film based surface acoustic wave sensors S Liu, H Sun, R Nagarajan, J Kumar, Z Gu, JH Cho, P Kurup Sensors and Actuators A: Physical 167 (1), 8-13, 2011 | 42 | 2011 |
| CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings M Karki, J Cho, E Lee, MH Hahm, SY Yoon, M Kim, JY Ahn, J Son, ... Artificial Intelligence in Medicine 106, 101850, 2020 | 40 | 2020 |
| Novel sensor array based on doped tin oxide nanowires for organic vapor detection X Li, JH Cho, P Kurup, Z Gu Sensors and Actuators B: Chemical 162 (1), 251-258, 2012 | 31 | 2012 |
| Medical image generation, localizaton, registration system JH Cho, M Karki, KW Lee US Patent 11,430,140, 2022 | 17 | 2022 |
| Relationship between human papillomavirus status and the cervicovaginal microbiome in cervical cancer HDT Nguyen, TM Le, E Lee, D Lee, Y Choi, J Cho, NJY Park, GO Chong, ... Microorganisms 11 (6), 1417, 2023 | 15 | 2023 |
| Recognition of explosive precursors using nanowire sensor array and decision tree learning J Cho, X Li, Z Gu, PU Kurup IEEE Sensors Journal 12 (7), 2384-2391, 2011 | 15 | 2011 |
| An intelligent wireless electronic nose node for monitoring gas mixtures using neuro-fuzzy networks implemented on a microcontroller YW Kim, JH Cho, GJ Jeon 2007 IEEE International Conference on Computational Intelligence for …, 2007 | 15 | 2007 |
| Investigation of QCM sensors with azobenzene functionalized coatings for the detection of nitroaromatics T Ponrathnam, J Cho, P Kurup, R Nagarajan, J Kumar Journal of Macromolecular Science, Part A 48 (12), 1031-1037, 2011 | 11 | 2011 |
| Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage CH Kim, MH Hahm, DE Lee, JY Choe, JY Ahn, SY Park, SH Lee, Y Kwak, ... Technology and Health Care 29 (5), 881-895, 2021 | 10 | 2021 |
| Do S. How much data is needed to train a medical image deep learning system to achieve necessary high accuracy. 2015 J Cho, K Lee, E Shin, G Choy arXiv preprint arXiv:1511.06348, 0 | 10 | |
| Intratumoral budding: a novel prognostic biomarker for tumor recurrence and a potential predictor of nodal metastasis in uterine cervical cancer GO Chong, NJY Park, HS Han, J Cho, MG Kim, Y Choi, JY Yeo, YH Lee, ... European Journal of Surgical Oncology 47 (12), 3182-3187, 2021 | 9 | 2021 |
| Machine learning powered automatic organ classification for patient specific organ dose estimation J Cho, E Lee, H Lee, B Liu, X Li, S Tajmir, D Sahani, S Do Proceedings of the Society for Imaging Informatics in Medicine Annual Meeting, 2017 | 8 | 2017 |
| System and method for automated labeling and annotating unstructured medical datasets S Do, JH Cho US Patent 11,615,879, 2023 | 7 | 2023 |
| Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images J Kim, S Ko, M Kim, NJY Park, H Han, J Cho, JY Park Medicina 59 (3), 536, 2023 | 7 | 2023 |