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Junghwan Cho
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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
4272015
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
1392011
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
1212019
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
802008
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
462011
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
392011
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
372011
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
332020
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
302012
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
152011
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
152007
Do S. How much data is needed to train a medical image deep learning system to achieve necessary high accuracy? arXiv preprint 2015
J Cho, K Lee, E Shin, G Choy
arXiv preprint arXiv:1511.06348, 0
13
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
122011
Do S. How much data is needed to train a medical image deep learning system to achieve necessary high accu‑racy? 2015
J Cho, K Lee, E Shin, G Choy
arXiv preprint arXiv:1511.06348, 0
10
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
72021
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
72017
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
62021
A study on a fault detection and isolation method of nonlinear systems using SVM and neural network
IS Lee, JH Cho, HM Seo, YS Nam
Journal of Institute of Control, Robotics and Systems 18 (6), 540-545, 2012
62012
On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion
JH Cho, CH Shim, IS Lee, GJ Jeon
Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information …, 2004
62004
Needed to Train a Medical Image Deep Learning System to Achieve Necessary High Accuracy? arXiv. 2015 doi: 10.48550
J Cho, K Lee, E Shin, G Choy, HMDI Do S
arXiv preprint ARXIV.1511.06348 1511, 0
5
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