Junghwan Cho

How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Junghwan Cho, Kyewook Lee, Ellie Shin et al. · arXiv (Cornell University) · 2015 · 276 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +24

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models

Junghwan Cho, Ki‐Su Park, Manohar Karki et al. · Journal of Digital Imaging · 2019 · 129 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +11

Food contamination monitoring via internet of things, exemplified by using pocket-sized immunosensor as terminal unit

Sung-Min Seo, Seungwan Kim, Jin-Woo Jeon et al. · Sensors and Actuators B Chemical · 2016 · 56 citations

Monitoring Technology, Smart Sensor, Environmental Monitoring +10

A fluorescent immunosensor for high-sensitivity cardiac troponin I using a spatially-controlled polymeric, nano-scale tracer to prevent quenching

Sung-Min Seo, Seungwan Kim, Ji-Na Park et al. · Biosensors and Bioelectronics · 2016 · 49 citations

Engineering, Biomedical Diagnostics, Nano-scale Tracer +10

Sensitive and fast recognition of explosives using fluorescent polymer sensors and pattern recognition analysis

Junghwan Cho, Robinson Anandakathir, Abhishek Kumar et al. · Sensors and Actuators B Chemical · 2011 · 44 citations

Chemical Engineering, Engineering, Chemical Image +9