Follow
Hyunkwang Lee
Hyunkwang Lee
DeepHealth AI at RadNet
Verified email at radnet.com
Title
Cited by
Cited by
Year
Minerva: Enabling low-power, highly-accurate deep neural network accelerators
B Reagen, P Whatmough, R Adolf, S Rama, H Lee, SK Lee, ...
ACM SIGARCH Computer Architecture News 44 (3), 267-278, 2016
7232016
Fully automated deep learning system for bone age assessment
H Lee, S Tajmir, J Lee, M Zissen, BA Yeshiwas, TK Alkasab, G Choy, ...
Journal of digital imaging 30, 427-441, 2017
4412017
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
H Lee, S Yune, M Mansouri, M Kim, SH Tajmir, CE Guerrier, SA Ebert, ...
Nature biomedical engineering 3 (3), 173-182, 2019
3902019
14.3 A 28nm SoC with a 1.2 GHz 568nJ/prediction sparse deep-neural-network engine with> 0.1 timing error rate tolerance for IoT applications
PN Whatmough, SK Lee, H Lee, S Rama, D Brooks, GY Wei
2017 IEEE International Solid-State Circuits Conference (ISSCC), 242-243, 2017
2042017
Pixel-level deep segmentation: artificial intelligence quantifies muscle on computed tomography for body morphometric analysis
H Lee, FM Troschel, S Tajmir, G Fuchs, J Mario, FJ Fintelmann, S Do
Journal of digital imaging 30, 487-498, 2017
1572017
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability
SH Tajmir, H Lee, R Shailam, HI Gale, JC Nguyen, SJ Westra, R Lim, ...
Skeletal radiology 48, 275-283, 2019
1012019
Urinary stone detection on CT images using deep convolutional neural networks: evaluation of model performance and generalization
A Parakh, H Lee, JH Lee, BH Eisner, DV Sahani, S Do
Radiology: Artificial Intelligence 1 (4), e180066, 2019
842019
A deep-learning system for fully-automated peripherally inserted central catheter (PICC) tip detection
H Lee, M Mansouri, S Tajmir, MH Lev, S Do
Journal of digital imaging 31, 393-402, 2018
562018
Machine friendly machine learning: interpretation of computed tomography without image reconstruction
H Lee, C Huang, S Yune, SH Tajmir, M Kim, S Do
Scientific reports 9 (1), 1-9, 2019
462019
Beyond human perception: sexual dimorphism in hand and wrist radiographs is discernible by a deep learning model
S Yune, H Lee, M Kim, SH Tajmir, MS Gee, S Do
Journal of Digital Imaging 32, 665-671, 2019
362019
Practical window setting optimization for medical image deep learning
H Lee, M Kim, S Do
arXiv preprint arXiv:1812.00572, 2018
312018
Systems, methods and media for automatically generating a bone age assessment from a radiograph
S Do, H Lee, M Gee, S Tajmir, T Alkasab
US Patent 10,991,093, 2021
252021
Towards generative adversarial networks as a new paradigm for radiology education
SG Finlayson, H Lee, IS Kohane, L Oakden-Rayner
arXiv preprint arXiv:1812.01547, 2018
212018
A multi-chip system optimized for insect-scale flapping-wing robots
X Zhang, M Lok, T Tong, S Chaput, SK Lee, B Reagen, H Lee, D Brooks, ...
2015 Symposium on VLSI Circuits (VLSI Circuits), C152-C153, 2015
182015
Pattern recognition in musculoskeletal imaging using artificial intelligence
N Gorelik, J Chong, DJ Lin
Seminars in musculoskeletal radiology 24 (01), 38-49, 2020
112020
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
System and method for analyzing medical images to detect and classify a medical condition using machine-learning and a case pertinent radiology atlas
H Lee, S Yune, S Do
US Patent App. 17/055,068, 2021
22021
Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists
JG Kim, B Haslam, AR Diab, A Sakhare, G Grisot, H Lee, J Holt, CI Lee, ...
Radiology: Artificial Intelligence, e230137, 2024
12024
Generalizable and Explainable Deep Learning in Medical Imaging with Small Data
H Lee
Harvard University, 2020
12020
CASE-BASED LEARNING BASED ON ARTIFICIAL INTELLIGENCE RADIOLOGY ATLAS: EXAMPLE OF INTRACRANIAL HEMORRHAGE AND URINARY STONE DETECTION
S Yune, H Lee, S Do, D Ting
JOURNAL OF GENERAL INTERNAL MEDICINE 33, S685-S686, 2018
12018
The system can't perform the operation now. Try again later.
Articles 1–20