Hyunkwang Lee
Fred Hutch Cancer Center(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Advanced Memory and Neural Computing, AI in cancer detection, Advanced X-ray and CT Imaging, Advanced Neural Network Applications
Most-Cited Works
- → Minerva(2016)468 cited
- → An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets(2018)444 cited
- → Fully Automated Deep Learning System for Bone Age Assessment(2017)441 cited
- → Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators(2016)238 cited
- → 14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications(2017)168 cited
- → Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis(2017)163 cited
- → Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability(2018)123 cited
- → Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization(2019)120 cited
- 14.3 A 28nm SoC with a 1.2GHz 568nJ/prediction sparse deep-neural-network engine with >0.1 timing error rate tolerance for IoT applications(2017)
- → A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection(2017)54 cited