Location History:
- Boston, MA (US) (2022)
- Cambridge, MA (US) (2021 - 2024)
Company Filing History:
Years Active: 2021-2024
Title: Innovations by Hyunkwang Lee in Medical Imaging
Introduction
Hyunkwang Lee is an accomplished inventor based in Boston, MA (US). He has made significant contributions to the field of medical imaging, holding a total of 3 patents. His work focuses on utilizing machine learning to enhance the analysis of medical images, which has the potential to improve patient outcomes.
Latest Patents
Hyunkwang Lee's latest patents include a system and method for analyzing medical images to detect and classify medical conditions using machine learning and a case pertinent radiology atlas. This innovative system incorporates a convolutional neural network that analyzes medical images to generate predictions regarding the presence of medical conditions. Additionally, it features an atlas creation module that generates a set of image features and training images associated with specific medical conditions.
Another notable patent involves patient risk stratification based on body composition derived from computed tomography images using machine learning. This system enables real-time segmentation for clinical applications, allowing for a more accurate analysis of body morphology. The fully-automated deep learning system is designed to segment skeletal muscle cross-sectional areas and perform whole-body volumetric analysis.
Career Highlights
Hyunkwang Lee is currently employed at The General Hospital Corporation, where he continues to develop innovative solutions in medical imaging. His work is instrumental in advancing the capabilities of machine learning in healthcare.
Collaborations
Some of his notable coworkers include Synho Do and Michael Gee, who contribute to the collaborative efforts in research and development within the organization.
Conclusion
Hyunkwang Lee's contributions to medical imaging through his innovative patents demonstrate the significant impact of machine learning in healthcare. His work not only enhances the analysis of medical images but also plays a crucial role in improving patient care.