Lee, Hyunkwang

Fully Automated Deep Learning System for Bone Age Assessment

Lee, H., Tajmir, S., Lee, J., Zissen, M., Yeshiwas, B. A., Alkasab, T. K., Choy, G., & Do, S. (2017) · Journal of Digital Imaging

Forensic Anthropology and Bioarchaeology StudiesMedical Imaging and Analysis

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Minerva: enabling low-power, highly-accurate deep neural network accelerators

Reagen, B., Whatmough, P., Adolf, R., Rama, S., Lee, H., Lee, S. K., Hernández-Lobato, J. M., Wei, G.-Y., & Brooks, D. (2016) · ACM SIGARCH Computer Architecture News

Low-power high-performance VLSI designAdvanced Neural Network Applications

Cited by 446

An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets

Lee, H., Yune, S., Mansouri, M., Kim, M., Tajmir, S. H., Guerrier, C. E., Ebert, S. A., Pomerantz, S. R., Romero, J. M., Kamalian, S., et al. (2018) · Nature Biomedical Engineering

Intracerebral and Subarachnoid Hemorrhage ResearchExplainable Artificial Intelligence (XAI)

Cited by 441