Hyunkwang Lee
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- UnitedHealth Groupas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-4806-6709
- OpenAlex ID
- A5071317994as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 12
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,
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,
A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection,
A multi-chip system optimized for insect-scale flapping-wing robots,
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets,
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability,
Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model,
Fully Automated Deep Learning System for Bone Age Assessment
+4 more
← Authored by 12
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,
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,
A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection,
A multi-chip system optimized for insect-scale flapping-wing robots,
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets,
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability,
Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model,
Fully Automated Deep Learning System for Bone Age Assessment
+4 more
Affiliated with 3
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Summary
Hyunkwang Lee is a human[1].